diff --git a/assets/css/main.css b/assets/css/main.css index 5d6d966..f653aef 100644 --- a/assets/css/main.css +++ b/assets/css/main.css @@ -135,7 +135,8 @@ blockquote { margin-bottom: 4em; margin-left: auto; margin-right: auto; - max-width: 800px; + /* max-width: 5000px; */ + width: 90%; padding: 0 1ch; word-wrap: break-word; } @@ -327,15 +328,56 @@ color: whitesmoke ; table { border-spacing: 0; border-collapse: collapse; + background-color: whitesmoke; + border-color: black; + font-size: small; } table th{ - padding: 6px 13px; - border: 1px solid #dfe2e5; - font-size: large; + padding: 3px 6px; + /* border: 1px solid #dfe2e5; */ + font-size: medium; } table td{ - padding: 6px 13px; - border: 1px solid #dfe2e5; + padding: 3px 6px; + font-size: small; + /* border: 1px solid #dfe2e5; */ } + +div.dataTables_info { + background-color: whitesmoke; + color:#f71e6a; +} + + +div.dataTables_filter { + background-color: whitesmoke; + colour: red; + padding: 3px 6px; +} + + +/* body { + margin: 0; + padding: 0; + color: #333; + background-color: #fff; + font-size: small; +} */ + +/* table.dataTable.display tbody tr.odd > .sorting_1 { + background-color: red; +} + +table.dataTable.display tbody tr.odd { + background-color: red; +} + +table.dataTable.display tbody tr.even > .sorting_1 { + background-color: green; +} + +table.dataTable.display tbody tr.even { + background-color: green; +} */ diff --git a/content/_index.Rmd b/content/_index.Rmd index 741f1e3..3152937 100644 --- a/content/_index.Rmd +++ b/content/_index.Rmd @@ -6,10 +6,12 @@ editor_options: wrap: 72 --- -# Welcome! +
![](img/duck_tt.png) +
+ Welcome to The Median Duck, a self initiated project that aims to educate and entertain the general public on data analytic topics through the hit UK TV show [Taskmaster](https://en.wikipedia.org/wiki/Taskmaster_(TV_series)). diff --git a/content/_index.html b/content/_index.html index 17b9588..a8a3750 100644 --- a/content/_index.html +++ b/content/_index.html @@ -8,9 +8,9 @@ -
-

Welcome!

+

+

Welcome to The Median Duck, a self initiated project that aims to educate and entertain the general public on data analytic topics through the hit UK TV show Taskmaster.

@@ -20,4 +20,3 @@

Welcome!

Your Time Starts Now!


-
diff --git a/content/posts/2024-07-10-strength-in-data-connecting-to-the-taskmaster-database/index.Rmarkdown b/content/posts/2024-07-10-strength-in-data-connecting-to-the-taskmaster-database/index.Rmarkdown index 738268b..483d649 100644 --- a/content/posts/2024-07-10-strength-in-data-connecting-to-the-taskmaster-database/index.Rmarkdown +++ b/content/posts/2024-07-10-strength-in-data-connecting-to-the-taskmaster-database/index.Rmarkdown @@ -3,6 +3,7 @@ title: 'Strength in Data: Connecting to the Taskmaster Database' author: Christopher Nam date: '2024-07-10' keywords: ["intro", "setup"] +slug: database-connection section: - intro - setup diff --git a/content/posts/2024-07-10-strength-in-data-connecting-to-the-taskmaster-database/index.markdown b/content/posts/2024-07-10-strength-in-data-connecting-to-the-taskmaster-database/index.markdown index ba8ac10..0d4260d 100644 --- a/content/posts/2024-07-10-strength-in-data-connecting-to-the-taskmaster-database/index.markdown +++ b/content/posts/2024-07-10-strength-in-data-connecting-to-the-taskmaster-database/index.markdown @@ -3,6 +3,7 @@ title: 'Strength in Data: Connecting to the Taskmaster Database' author: Christopher Nam date: '2024-07-10' keywords: ["intro", "setup"] +slug: database-connection section: - intro - setup diff --git a/content/posts/2024-07-31-data-dictionary/index.Rmd b/content/posts/2024-07-31-data-dictionary/index.Rmd new file mode 100644 index 0000000..93bd06c --- /dev/null +++ b/content/posts/2024-07-31-data-dictionary/index.Rmd @@ -0,0 +1,806 @@ +--- +title: "A Data Dic(tionary) pic of TdlM" +author: Christopher Nam +date: '2024-08-31' +slug: tdlm-data-dictionary +categories: [] +tags: ["TdlM", "Beginner"] +draft: no +output: + blogdown::html_page: + toc: true + toc_depth: 1 + number_sections: false + df_print: "default" + highlighter: tango +--- + +# Your Task + +> Obtain a good overview of the tables in the TdLM database, what these tables contain, how these tables are linked together, and which ones are the most important for this project. + +# Don't be a Data Dic (tionary) about this... + +This article assumes that you are able to connect to the TdlM database successfully ([database connection post](/themedianduck/2024/07/database-connection)). + +```{r setup, include=FALSE, echo = FALSE} +knitr::opts_chunk$set(echo = TRUE, root.dir = "../", + tidy = TRUE + ) +options(width = 1000) +``` + +```{r download, message = FALSE, include = FALSE} +library(here) #library to help with identifying the repo working directory + +# URL where Database file resides. We will download from here. +db_url <- "https://tdlm.fly.dev/taskmaster.db" + +# Where the data will be stored locally +db_file_name <- "taskmaster.db" +data_dir <- here("static", "data") + +db_data_location <- file.path(data_dir, db_file_name) + + +# Create Data Directory if does not exist +if(!file.exists(file.path(data_dir))){ + dir.create(file.path(data_dir)) +} + +# Download file specified by URL, save in the local destination. +if(!file.exists(db_data_location)){ + download.file(url = db_url, destfile = db_data_location, mode = "wb") +} + +package_name <- "RSQLite" + +# Install packages if does not exist, then load. +if(!require(package_name, character.only = TRUE)){ + install.packages(package_name, character.only = TRUE) +} else{ + library(package_name, character.only = TRUE) +} + + +# Driver used to establish database connection +sqlite_driver <- dbDriver("SQLite") + +# Making the connection +tm_db <- dbConnect(sqlite_driver, dbname = db_data_location) +``` + +A reminder that these are the tables available to us in `TdlM` database are. + +```{r db_tables} +tm_db_tables <- dbListTables(tm_db) +tm_db_tables +``` + +## A Data Dic(tionary) Pic: An Overview of the Plan +To formulate our basic data dictionary, we are going to go one by one through these `r length(tm_db_tables)` tables, perform a simple query to sample the data and infer what the table and data pertains to. Basic data summaries will be performed on these tables to get a sense of potential distribution of values, and any missing values. + +In the spirit automation, we will be querying each table through a `for` loop, cycling through the tables names provided above. This means we won't be repeating too much work, and if tables are added or changed in the future, we can re-run the code quickly to obtain new samples for inspection. + +Fulll details of the deep dive can be found in the [appendix](#appendix-details) + +# Summary of Findings + +Based on the [deep dive](#appendix-details), here is a brief summary of each table and a heuristic categorisation (`Tier`) of how important they are to this project. +This categorisation could be used for prioritisation purposes in ensuring that this data is collected in a timely manner, and that we have high quality data for them.[^a] + +[^a]: This is definitely the corporate side of me talking. If you've ever experienced with dealing with large scale systems with multiple moving parts, limited resources and knowing what hard bottlenecks in your work, you'll know what I mean. + +- **Tier 1:** Essential and fundamental to The Median Duck project. High data quality required to make the project successful. Data Collection of these tables should be prioritised in the case of an emergency. +- **Tier 2:** Currently not essential, but may be required at a later date, particularly once performing additional investigations and deep dives. +- **Tier 3:** Good auxiliary and insights tables, but not essential to The Median Duck. + +```{r data_tiers, echo = FALSE, include = TRUE} +library(jsonlite) +library(DT) + +data_tiers_file <- "data_tiers.json" + +data_tiers_json <- fromJSON(file.path(data_dir, data_tiers_file)) + +data_tiers_df <- as.data.frame(data_tiers_json) + +data_tiers_df$Tier <- as.factor(data_tiers_df$Tier) + +datatable(data_tiers_df, + rownames = TRUE, + filter = "top", + options = list(paging = FALSE, searching = TRUE, info = TRUE, scrollY = '500px') +) +``` +The `series` table indicates, `TdlM` only contains data associated with the UK series of Taskmaste (both regular and New Years Treat). + +Through this deep dive, I also observed that the data output obtained from this `R` connection, can be less intuitive and comprehensible than that presented throught the Datasette website interface. It is possible that some front end processing is occurring for the website which uses the intrinsic links between the tables to provide intuitive, comprehensible data records. The use of `REFERENCES (id)` in the `CREATE TABLE` statement is likely an indication of how this data linked together. + +For example compare the output in the `episode_scores` table, when querying through `R` and through the [Datasette website](https://tdlm.fly.dev/taskmaster/episode_scores?_sort=id&id__lte=55&id__gte=51). + +The `episode`, `contestant` columns are numerical in the the `R` output, whilst they are meaning strings in the website output; namely the actual episode titles, and contestants full names. + +This indicates some additional work will likely be required in `R` to get data in this in this similarly intuitive and informative manner. Datasette will have the benefit that some of this back end processing has already been performed, and a lower barrier to entry. Saying this, if execute the raw SQL query directly on the Datasette website, we do get the less intuitive data ([link](https://tdlm.fly.dev/taskmaster?sql=select+id%2C+episode%2C+contestant%2C+score%2C+rank%2C+series%2C+srank+from+episode_scores+where+%22id%22+%3E%3D+51+and+%22id%22+%3C%3D+55+order+by+id+limit+101&p1=55&p0=51)). + + +```{r output_diff, eval = TRUE} +query <- 'SELECT id, episode, contestant, score, rank, series, srank FROM episode_scores WHERE "id" >= 51 AND "id" <= 55 ORDER BY id LIMIT 101' +``` + +:::: {style="display: flex;"} + +::: {} +Output from the database file through `R`: +```{r r_output, echo = FALSE, include = TRUE} +datatable(dbGetQuery(tm_db, query), + filter = "none", + options = list(paging = FALSE, searching = FALSE, info = FALSE), width = '770px', height = '400px') +``` +::: + +::: {} +Output from Datasette website: +```{r datasette_ouput, echo = FALSE, include = TRUE} + +knitr::include_url("https://tdlm.fly.dev/taskmaster/episode_scores?_sort=id&id__lte=55&id__gte=51", height = '400px') +``` +::: + +:::: + +# Final Thoughts + +```{r tier1_data, echo = FALSE} +tier_1_df <- data_tiers_df[data_tiers_df$Tier == "Tier 1",] +``` + +> There are ``r nrow(tier_1_df)`` tables in the `TdlM` database which we consider to be essential to the The Median Duck project. +> These tables are ``r paste(tier_1_df$Table, collapse = ", ")``. + +# Appendix Details +Comprehensive details on how the data dictionary and heuristic ranking came to be. Data samples and summary statistics also provided. + +Be warned, it's very dry and not for the faint heartened! You do however get to see my coding standards and commentary style however. + + +```{r data_samp_summary, message = FALSE, warning=FALSE} +library(Hmisc) #Library/Function to provide data summaries. + +#Initially empty list to contain the data frame samples. +data_sample_list <- list() +sample_size <- 10 + +# For each table... + +# Perform a SELECT * FROM {tbl} query to pull data. + +# Randomly sample data using R, and also get summary statistics + +# Add data sample to list for easy access. +for(iter in 1:length(tm_db_tables)){ + tbl <- tm_db_tables[iter] + select_query <- sprintf("SELECT * FROM %s", tbl) + + set.seed(1234) # Set seed for reproducibility. + + query_output <- dbGetQuery(tm_db, select_query) + + # Random sample from table + table_sample <- query_output[sample(1:nrow(query_output), size = sample_size), ] + + # Summary statistics for entire table + table_summary<- Hmisc::describe(query_output) + + # List of two objects + table_list <- list(data_sample = table_sample, data_summary = table_summary) + + data_sample_list[[iter]] <- table_list +} + + +# Give the list items the table names we have queried from +data_sample_list <- setNames(data_sample_list, tm_db_tables) +``` + +## `attempts` + +The [`attempts` table](https://tdlm.fly.dev/taskmaster/attempts) table fundamentally captures each contestants attempt at each task; that is for each `task, contestant` the points awarded from their task attempt (`points`) and their ranking with respect to the other contestants (`rank`). + +Information is also provided to the `team` id (if the task is a team task), and the `location` id of where the task was held. + +- N.B. `episode` and `series` here denotes the contestant's cumulative episode and series score respectively. +- `adjustment`is present to adjust for series bias?? +- `PO` denotes the `Presentation Order`, the order in which the contestants attempts was presented in the recording. 0 denotes simultaneous presentation of the attempts. + +
+ +See `attempts` Sample! + +```{r, echo = TRUE, eval = TRUE} +data_sample_list[["attempts"]]$data_sample +``` + +
+ +
+ +See `attempts` Summary! + +```{r, echo = TRUE, eval = TRUE} + data_sample_list[["attempts"]]$data_summary +``` + +
+ +## `discrepancies` + +The [`discrepancies` table](https://tdlm.fly.dev/taskmaster/discrepancies) exists +*"to account for the two whole points that have gone misplaced in the history of TMUK"* [^1] + +[^1]: Honestly, I didn't know that points had gone misplaced. I should return my card to the TM fan club... + +The table has the `series, episode, contestant, task` that caused the discrepancy, and the discrepancy between observed and official (truth??). The data summary shows that there are only 10 observations so this table is unlikely to be a top priority. + +
+ +See `discrepancies` Sample! + +```{r, echo = TRUE, eval = TRUE} +data_sample_list[["discrepancies"]]$data_sample +``` + +
+ +
+ +See `discrepancies` Summary! + +```{r, echo = TRUE, eval = TRUE} + data_sample_list[["discrepancies"]]$data_summary +``` + +
+ +## `episode_scores` + +The [`episode_scores` table](https://tdlm.fly.dev/taskmaster/episode_scores) details the total number of points (`score`) awarded for each contestant in an episode, and their ranking within the episode against other contestants (`rank`). The cumulative series score and rank are also provided (`series` and `srank` respectively).[^2] + +[^2]: I'm not a big fan of "1=", etc. being used to denote a tied ranking. It ultimately means the field is no longer an integer and needs additional care to be treated correctly. + +
+ +See `episode_scores` Sample! + +```{r, echo = TRUE, eval = TRUE} +data_sample_list[["episode_scores"]]$data_sample +``` + +
+ +
+ +See `episode_scores` Summary! + +```{r, echo = TRUE, eval = TRUE} + data_sample_list[["episode_scores"]]$data_summary +``` + +
+ +## `episodes` + +The [`episodes` table](https://tdlm.fly.dev/taskmaster/episodes) details key information at the `(series, episode)` level. Information includes the episode title (`title`), the winner of the episode (`winner`), total number of judged tasks in the episode (`tasks`) and total number of points awarded in the episode (`points`). Logistical information on the episode such as whether the episode is a finale or not, and the studio and air date are also available. + +It is not clear at the moment as to what the `TMI` represents. + +
+ +See `episodes` Sample! + +```{r, echo = TRUE, eval = TRUE} +data_sample_list[["episodes"]]$data_sample +``` + +
+ +
+ +See `episodes` Summary! + +```{r, echo = TRUE, eval = TRUE} + data_sample_list[["episodes"]]$data_summary +``` + +
+ +## `intros` + +The [`intros` table](https://tdlm.fly.dev/taskmaster/intros) has information associated with the intro sequence for each series. This intro sequence is assumed to remain the same across all episodes within the same series (except for the end shot which features the episode title). + +The intro sequence has been decomposed into which `person` is featured (`person` is not limited to contestants and can include Greg or Little Alex Horne), and the `task` it is taken from. The `clip` field does not seem to have much meaning in its `R` form, but inspecting this data through the Datasette website highlights that this links to a `mp4` of that particular part of the intro on `imgur.com`. [^3] + +[^3]: I'm very surprised that such a dataset exists, and someone has gone to the effort of dissecting each intro sequence to such a minutiae. Saying that, this is the TM fan base... + +
+ +See `intros` Sample! + +```{r, echo = TRUE, eval = TRUE} +data_sample_list[["intros"]]$data_sample +``` + +
+ +
+ +See `intros` Summary! + +```{r, echo = TRUE, eval = TRUE} + data_sample_list[["intros"]]$data_summary +``` + +
+ +## `measurements` + +The [`measurements` table](https://tdlm.fly.dev/taskmaster/measurements) table details for a particular `task, contestant`, the measurable outcome of their attempt. + +For example, the duration of the time the task lasted for (either to successful completion, or until failure termination) or the longest distance travelled. The `objective` column provides insight into the units of the measurement and the objective (for example most, least, closest). + +Care is likely required on the `measurement` field as to how inconclusive measurements are handed (was not observed and thus measured) and disqualifications. + +
+ +See `measurements` Sample! + +```{r, echo = TRUE, eval = TRUE} +data_sample_list[["measurements"]]$data_sample +``` + +
+ +
+ +See `measurements` Summary! + +```{r, echo = TRUE, eval = TRUE} + data_sample_list[["measurements"]]$data_summary +``` + +
+ +## `normalized_scores` + +The [`normalized_scores` table](https://tdlm.fly.dev/taskmaster/normalized_scores) attempts to normalise scores across `contestants` for a particular `task` in an episode. This normalisation is required when bonus points are awarded in addition to the main tasak, and to handle ranking ties (two or more contestants achieved the same measurement and/or points in a task attempt), different ranking strategies are employed to handle ties. + +Columns: + +- `base` is the number of points awarded by the Taskmaster without the bonus points. These will typically be valued 0, 1, 2, 3, 4, 5, although the data also suggests it can be negative on a few rare occasions. These are typically when Alex is being particularly mischievous (e.g. lose points if you don't do the tasks correctly). +- `points` is the number of points awarded including the bonus points or the Taskmaster going rogue. +- `adjustment` is the difference between `points` and `base`. +- `rank` is the ranking of contestant according to the `base` column, that is before bonus points are rewarded. +- `rigid` is the tidiest normalisation of points where 5 points are awarded for 1st, 4 for 2nd etc. +- `spread` evenly distributes the points across the tied contestants. +- `scale` scores are normalised such that no score exceed a maximum of 5. Previously tried to scale scores so that the sum was 15. +- `5+3`, `3+2` and `3½+2½` are normalisation tactics for team tasks. + + +
+ +See `normalized_scores` Sample! + +```{r, echo = TRUE, eval = TRUE} +data_sample_list[["normalized_scores"]]$data_sample +``` + +
+ +
+ +See `normalized_scores` Summary! + +```{r, echo = TRUE, eval = TRUE} + data_sample_list[["normalized_scores"]]$data_summary +``` + +
+ +## `objectives` + +The [`objectives` table](https://tdlm.fly.dev/taskmaster/objectives) is a supplement of the `measurements` table and explicitly details the `units`, the objective (`target`) of a task. The `label` column appears to be a concatenation of `unit` and `target`. + +
+ +See `objectives` Sample! + +```{r, echo = TRUE, eval = TRUE} +data_sample_list[["objectives"]]$data_sample +``` + +
+ +
+ +See `objectives` Summary! + +```{r, echo = TRUE, eval = TRUE} + data_sample_list[["objectives"]]$data_summary +``` + +
+ +## `people` + +The [`people` table](https://tdlm.fly.dev/taskmaster/people) provides a variety information on both contestants, the Taskmaster and Little Alex Horne. Included information is both Taskmaster specific (which `seat` are they in, the `team` they were part of, whether they were a `champion`), and more general information (`dob`, `gender`, left or right handed (`hand`). + +`TMI` is an identifier for the on the `taskmaster.info` website that the data is collated from. + +
+ +See `people` Sample! + +```{r, echo = TRUE, eval = TRUE} +data_sample_list[["people"]]$data_sample +``` + +
+ +
+ +See `people` Summary! + +```{r, echo = TRUE, eval = TRUE} + data_sample_list[["people"]]$data_summary +``` + +
+ +## `podcast` + +The [`podcast` table](https://tdlm.fly.dev/taskmaster/podcast) provides information regarding the Official Taskmaster Podcast hosted by Ed Gamble (no the People's Taskmaster). Information on who the podcast `guest` was, their `rating` for the podcast episode, and the `topic` is available (topic will typically be the latest episode broadcasted). + +
+ +See `podcast` Sample! + +```{r, echo = TRUE, eval = TRUE} +data_sample_list[["podcast"]]$data_sample +``` + +
+ +
+ +See `podcast` Summary! + +```{r, echo = TRUE, eval = TRUE} + data_sample_list[["podcast"]]$data_summary +``` + +
+ +## `profanity` + +The [`profanity` table](https://tdlm.fly.dev/taskmaster/profanity) details the profanity observed on the show. Each record details which `series`, `episode`, `task` the profanity occurred, who was the profanity offender (`speaker`), the offending words (`roots`) and the exact `quote`. Whether the profanity occurred in the studio or not (a pre-recorded task) is also available. + +
+ +See `profanity` Sample! + +```{r, echo = TRUE, eval = TRUE} +data_sample_list[["profanity"]]$data_sample +``` + +
+ +
+ +See `profanity` Summary! + +```{r, echo = TRUE, eval = TRUE} + data_sample_list[["profanity"]]$data_summary +``` + +
+ +## `series` + +The [`series` table](https://tdlm.fly.dev/taskmaster/series) details information at a series level. Information includes the number of `episodes` in the series, the `champion`, the total number of brodcasted `tasks`, and the total number of `points` awarded. Logistical information such as dates associated with the airing and studio record, and whether the series is a `special` is also available. + +`TMI` is a id for the `taskmaster.info` website. + +Further analysis of this table indicates that only information pertaining to the UK series of Taskmaster (regular and New Years Treat specials), are available. + +
+ +See `series` Sample! + +```{r, echo = TRUE, eval = TRUE} +data_sample_list[["series"]]$data_sample +``` + +
+ +
+ +See `series` Summary! + +```{r, echo = TRUE, eval = TRUE} + data_sample_list[["series"]]$data_summary +``` + +
+ +## `series_scores` + +The [`series_scores` table](https://tdlm.fly.dev/taskmaster/series_scores) provides (`series`, `contestant` information). Namely, this is the `score` at the end of the series, and their overall `rank` within the series. + +
+ +See `series_scores` Sample! + +```{r, echo = TRUE, eval = TRUE} +data_sample_list[["series_scores"]]$data_sample +``` + +
+ +
+ +See `series_scores` Summary! + +```{r, echo = TRUE, eval = TRUE} + data_sample_list[["series_scores"]]$data_summary +``` + +
+ +## `special_locations` + +The [`special_locations` table](https://tdlm.fly.dev/taskmaster/special_locations) has information for the location based tasks outside of the Taskmaster house. This includes the `name` and the latitude and longitude co-ordinates (`latlong`). + +
+ +See `special_locations` Sample! + +```{r, echo = TRUE, eval = TRUE} +data_sample_list[["special_locations"]]$data_sample +``` + +
+ +
+ +See `series` Summary! + +```{r, echo = TRUE, eval = TRUE} + data_sample_list[["special_locations"]]$data_summary +``` + +
+ +## `task_briefs` + +The [`task_briefs` table](https://tdlm.fly.dev/taskmaster/task_briefs), as the name suggests provides the exact `brief` that was provided to contestants. + +
+ +See `task_briefs` Sample! + +```{r, echo = TRUE, eval = TRUE} +data_sample_list[["task_briefs"]]$data_sample +``` + +
+ +
+ +See `task_briefs` Summary! + +```{r, echo = TRUE, eval = TRUE} + data_sample_list[["task_briefs"]]$data_summary +``` + +
+ +## `task_readers` + +The [`task_readers` table](https://tdlm.fly.dev/taskmaster/task_readers) contains information on which contestant (`reader`) read a particular task, whether the task was a `team` task, and if the task was `live` or not. + +Note, that a task can have multiple readers associated with it as it is common for multiple readers to be edited together in a show. + +
+ +See `task_readers` Sample! + +```{r, echo = TRUE, eval = TRUE} +data_sample_list[["task_readers"]]$data_sample +``` + +
+ +
+ +See `task_readers` Summary! + +```{r, echo = TRUE, eval = TRUE} + data_sample_list[["task_readers"]]$data_summary +``` + +
+ +## `task_winners` + +The [`task_winners` table](https://tdlm.fly.dev/taskmaster/task_winners) naturally has all the information about the contestant(s) who won the task (`winner`), whether it was a `team` task, and if it was a `live` task or not. + +
+ +See `task_winners` Sample! + +```{r, echo = TRUE, eval = TRUE} +data_sample_list[["task_winners"]]$data_sample +``` + +
+ +
+ +See `task_winners` Summary! + +```{r, echo = TRUE, eval = TRUE} + data_sample_list[["task_winners"]]$data_summary +``` + +
+ +## `tasks` + +The [`tasks` table](https://tdlm.fly.dev/taskmaster/tasks) has high level data about tasks that is mostly independent of the contestants and the outcome. This includes the `series` and `episode` that the task featured in, the main `summary` of the task. Categorisation of the task is also available such as whether it is a subjective or objective task, if it is TM UK original, if it was filmed or live. + +- The `location` field in this table is not limited to the `special_locations` but also the whereabouts in the TM house, and the studio. +- The `points` field highlights the total number of points distributed to contestants by the Taskmaster. +- `std` is a flag to denote whether the task was standard (one having 5 judged attempts) +- `YT` is a YouTube link to the corresponding episode and timestamp of that particular task. + +
+ +See `tasks` Sample! + +```{r, echo = TRUE, eval = TRUE} +data_sample_list[["tasks"]]$data_sample +``` + +
+ +
+ +See `tasks` Summary! + +```{r, echo = TRUE, eval = TRUE} + data_sample_list[["tasks"]]$data_summary +``` + +
+ +## `tasks_by_objective` + +The [`tasks_by_objective` table](https://tdlm.fly.dev/taskmaster/tasks_by_objective) provides a high level overview of the task and the `objective` (the `measurement` and desired direction to be deemed successful). + +
+ +See `tasks_by_objective` Sample! + +```{r, echo = TRUE, eval = TRUE} +data_sample_list[["tasks_by_objective"]]$data_sample +``` + +
+ +
+ +See `tasks_by_objective` Summary! + +```{r, echo = TRUE, eval = TRUE} + data_sample_list[["tasks_by_objective"]]$data_summary +``` + +
+ +## `team_tasks` + +The [`team_tasks` table](https://tdlm.fly.dev/taskmaster/team_tasks) focuses just on team tasks, the teams involved (`team`), and whether that particular team won (`win`). + +
+ +See `team_tasks` Sample! + +```{r, echo = TRUE, eval = TRUE} +data_sample_list[["team_tasks"]]$data_sample +``` + +
+ +
+ +See `team_tasks` Summary! + +```{r, echo = TRUE, eval = TRUE} + data_sample_list[["team_tasks"]]$data_summary +``` + +
+ +## `teams` + +The [`teams` table](https://tdlm.fly.dev/taskmaster/teams) provides information on teams, regardless of the tasks themselves. The contestants who make up the team `members`, the `size` of the team, and whether the team is `irregular` or not, are also outlined. + +An `irregular` team occurs on the rare occasion when the a team for a live task differs to the previous tasks (pre-recorded or live). This namely occurred in Series 9 when someone wanted to the see rage of Ed Gamble, and Series 10's hippogate. + +
+ +See `teams` Sample! + +```{r, echo = TRUE, eval = TRUE} +data_sample_list[["teams"]]$data_sample +``` + +
+ +
+ +See `teams` Summary! + +```{r, echo = TRUE, eval = TRUE} + data_sample_list[["teams"]]$data_summary +``` + +
+ +## `title_coiners` + +The [`title_coiners` table](https://tdlm.fly.dev/taskmaster/title_coiners) archives all episode titles, who was responsible for the title (`coiner`, not limited to contestants and is sometimes blank as it could refer to a general vibe), and during which `task` the title was uttered in. + +
+ +See `title_coiners` Sample! + +```{r, echo = TRUE, eval = TRUE} +data_sample_list[["title_coiners"]]$data_sample +``` + +
+ +
+ +See `title_coiners` Summary! + +```{r, echo = TRUE, eval = TRUE} + data_sample_list[["title_coiners"]]$data_summary +``` + +
+ +## `title_stats` + +The [`title_stats` table](https://tdlm.fly.dev/taskmaster/title_stats) is an insights based table providing various on the statistics on the episode titles, namely the number of `words` and `syllables` in the title. + +
+ +See `title_stats` Sample! + +```{r, echo = TRUE, eval = TRUE} +data_sample_list[["title_stats"]]$data_sample +``` + +
+ +
+ +See `title_stats` Summary! + +```{r, echo = TRUE, eval = TRUE} + data_sample_list[["title_stats"]]$data_summary +``` + +
diff --git a/content/posts/2024-07-31-data-dictionary/index.html b/content/posts/2024-07-31-data-dictionary/index.html new file mode 100644 index 0000000..17a4bee --- /dev/null +++ b/content/posts/2024-07-31-data-dictionary/index.html @@ -0,0 +1,1969 @@ +--- +title: "A Data Dic(tionary) pic of TdlM" +author: Christopher Nam +date: '2024-08-31' +slug: tdlm-data-dictionary +categories: [] +tags: ["TdlM", "Beginner"] +draft: no +output: + blogdown::html_page: + toc: true + toc_depth: 1 + number_sections: false + df_print: "default" + highlighter: tango +--- + + + + + + + + + + + + + + + + +
+ +
+ +
+

Your Task

+
+

Obtain a good overview of the tables in the TdLM database, what these tables contain, how these tables are linked together, and which ones are the most important for this project.

+
+
+
+

Don’t be a Data Dic (tionary) about this…

+

This article assumes that you are able to connect to the TdlM database successfully (database connection post).

+

A reminder that these are the tables available to us in TdlM database are.

+
tm_db_tables <- dbListTables(tm_db)
+tm_db_tables
+
##  [1] "attempts"           "discrepancies"      "episode_scores"     "episodes"           "intros"             "measurements"       "normalized_scores"  "objectives"         "people"             "podcast"            "profanity"          "series"             "series_scores"      "special_locations"  "task_briefs"        "task_readers"       "task_winners"       "tasks"              "tasks_by_objective" "team_tasks"         "teams"              "title_coiners"      "title_stats"
+
+

A Data Dic(tionary) Pic: An Overview of the Plan

+

To formulate our basic data dictionary, we are going to go one by one through these 23 tables, perform a simple query to sample the data and infer what the table and data pertains to. Basic data summaries will be performed on these tables to get a sense of potential distribution of values, and any missing values.

+

In the spirit automation, we will be querying each table through a for loop, cycling through the tables names provided above. This means we won’t be repeating too much work, and if tables are added or changed in the future, we can re-run the code quickly to obtain new samples for inspection.

+

Fulll details of the deep dive can be found in the appendix

+
+
+
+

Summary of Findings

+

Based on the deep dive, here is a brief summary of each table and a heuristic categorisation (Tier) of how important they are to this project. +This categorisation could be used for prioritisation purposes in ensuring that this data is collected in a timely manner, and that we have high quality data for them.1

+ +
+ +

The series table indicates, TdlM only contains data associated with the UK series of Taskmaste (both regular and New Years Treat).

+

Through this deep dive, I also observed that the data output obtained from this R connection, can be less intuitive and comprehensible than that presented throught the Datasette website interface. It is possible that some front end processing is occurring for the website which uses the intrinsic links between the tables to provide intuitive, comprehensible data records. The use of REFERENCES <table>(id) in the CREATE TABLE statement is likely an indication of how this data linked together.

+

For example compare the output in the episode_scores table, when querying through R and through the Datasette website.

+

The episode, contestant columns are numerical in the the R output, whilst they are meaning strings in the website output; namely the actual episode titles, and contestants full names.

+

This indicates some additional work will likely be required in R to get data in this in this similarly intuitive and informative manner. Datasette will have the benefit that some of this back end processing has already been performed, and a lower barrier to entry. Saying this, if execute the raw SQL query directly on the Datasette website, we do get the less intuitive data (link).

+
query <- "SELECT id, episode, contestant, score, rank, series, srank FROM episode_scores WHERE \"id\" >= 51 AND \"id\" <= 55 ORDER BY id LIMIT 101"
+
+
+

Output from the database file through R:

+
+ +
+
+

Output from Datasette website: +

+
+
+
+
+

Final Thoughts

+
+

There are 10 tables in the TdlM database which we consider to be essential to the The Median Duck project. +These tables are attempts, episode_scores, episodes, people, series, series_scores, task_winners, tasks, team_tasks, teams.

+
+
+
+

Appendix Details

+

Comprehensive details on how the data dictionary and heuristic ranking came to be. Data samples and summary statistics also provided.

+

Be warned, it’s very dry and not for the faint heartened! You do however get to see my coding standards and commentary style however.

+
library(Hmisc)  #Library/Function to provide data summaries.
+
+# Initially empty list to contain the data frame samples.
+data_sample_list <- list()
+sample_size <- 10
+
+# For each table...
+
+# Perform a SELECT * FROM {tbl} query to pull data.
+
+# Randomly sample data using R, and also get summary statistics
+
+# Add data sample to list for easy access.
+for (iter in 1:length(tm_db_tables)) {
+    tbl <- tm_db_tables[iter]
+    select_query <- sprintf("SELECT * FROM %s", tbl)
+
+    set.seed(1234)  # Set seed for reproducibility.
+
+    query_output <- dbGetQuery(tm_db, select_query)
+
+    # Random sample from table
+    table_sample <- query_output[sample(1:nrow(query_output), size = sample_size), ]
+
+    # Summary statistics for entire table
+    table_summary <- Hmisc::describe(query_output)
+
+    # List of two objects
+    table_list <- list(data_sample = table_sample, data_summary = table_summary)
+
+    data_sample_list[[iter]] <- table_list
+}
+
+
+# Give the list items the table names we have queried from
+data_sample_list <- setNames(data_sample_list, tm_db_tables)
+
+

attempts

+

The attempts table table fundamentally captures each contestants attempt at each task; that is for each task, contestant the points awarded from their task attempt (points) and their ranking with respect to the other contestants (rank).

+

Information is also provided to the team id (if the task is a team task), and the location id of where the task was held.

+ +
+ +See attempts Sample! + +
data_sample_list[["attempts"]]$data_sample
+
##        id task contestant PO base adjustment points rank episode series team location
+## 3356 3356  693         91  4    5         NA      5   1=       8     97   NA       NA
+## 3920 3920  808        107  2    5         NA      5   1=      12    104   NA       NA
+## 3066 3066  635         81 2=    5         NA      5    1      21     99   NA       NA
+## 3173 3173  657         83  1    0         NA      0 <NA>      11     11   NA       NA
+## 1004 1004  214         37 1=    1         NA      1   2=      10     21   12       NA
+## 623   623  133         20  2    3         NA      3    3       3     95   NA       NA
+## 2953 2953  611         82 1=    4          1      5    2      10     41   NA       NA
+## 2693 2693  559         69 3=    2         NA      2   4=      11     64   NA       NA
+## 934   934  199         30  0    4         NA      4   2=      20     20   NA       NA
+## 400   400   84         15  1    1         NA      1    5       6     49   NA       NA
+
+
+ +See attempts Summary! + +
data_sample_list[["attempts"]]$data_summary
+
## query_output 
+## 
+##  12  Variables      3975  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3975        0     3975        1     1988     1325    199.7    398.4    994.5   1988.0   2981.5   3577.6   3776.3 
+## 
+## lowest :    1    2    3    4    5, highest: 3971 3972 3973 3974 3975
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3975        0      819        1    413.4      272     44.0     84.0    212.5    414.0    617.0    737.6    778.3 
+## 
+## lowest :   1   2   3   4   5, highest: 815 816 817 818 819
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## contestant 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3975        0      106        1    54.53       34        9       16       33       51       79      100      104 
+## 
+## lowest :   1   3   4   5   6, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## PO 
+##        n  missing distinct 
+##     3967        8       10 
+##                                                                       
+## Value          0     1    1=     2    2=     3    3=     4    4=     5
+## Frequency    425   386   850   318   316   355   296   330   240   451
+## Proportion 0.107 0.097 0.214 0.080 0.080 0.089 0.075 0.083 0.060 0.114
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## base 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3795      180       15    0.966    3.008    1.833        0        1        2        3        4        5        5 
+##                                                                                                     
+## Value         -5    -2    -1     0     1     2     3     4     5     6     7    10    12    13    15
+## Frequency      2     2     1   279   511   651   738   717   877     7     1     5     2     1     1
+## Proportion 0.001 0.001 0.000 0.074 0.135 0.172 0.194 0.189 0.231 0.002 0.000 0.001 0.001 0.000 0.000
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## adjustment 
+##        n  missing distinct     Info     Mean      Gmd 
+##       63     3912        7    0.584    0.619    1.269 
+##                                                     
+## Value         -5    -2    -1     1     2     3     5
+## Frequency      3     2     5    47     4     1     1
+## Proportion 0.048 0.032 0.079 0.746 0.063 0.016 0.016
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## points 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3975        0       16    0.969    2.882    1.935        0        0        2        3        4        5        5 
+##                                                                                                           
+## Value         -5    -4    -2    -1     0     1     2     3     4     5     6     7    10    12    13    15
+## Frequency      2     1     2     3   444   520   645   740   717   878    12     2     5     2     1     1
+## Proportion 0.001 0.000 0.001 0.001 0.112 0.131 0.162 0.186 0.180 0.221 0.003 0.001 0.001 0.001 0.000 0.000
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## rank 
+##        n  missing distinct 
+##     3510      465        9 
+##                                                                 
+## Value          1    1=     2    2=     3    3=     4    4=     5
+## Frequency    614   397   515   328   470   160   443   120   463
+## Proportion 0.175 0.113 0.147 0.093 0.134 0.046 0.126 0.034 0.132
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episode 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3974        1       31    0.997    9.421    6.145        2        3        5        9       13       17       19 
+## 
+## lowest : -4  0  1  2  3, highest: 25 26 27 28 30
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3974        1      180        1    71.52    52.22        6       12       32       68      108      136      150 
+## 
+## lowest :   0   1   2   3   4, highest: 175 176 179 181 184
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## team 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      475     3500       36    0.999    21.09    11.56        4        7       13       22       30       34       35 
+## 
+## lowest :  1  2  3  4  5, highest: 32 33 34 35 36
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## location 
+##        n  missing distinct     Info     Mean      Gmd 
+##       50     3925        3    0.271     1.52    2.875 
+##                          
+## Value         0    5   22
+## Frequency    45    2    3
+## Proportion 0.90 0.04 0.06
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

discrepancies

+

The discrepancies table exists +“to account for the two whole points that have gone misplaced in the history of TMUK” 2

+

The table has the series, episode, contestant, task that caused the discrepancy, and the discrepancy between observed and official (truth??). The data summary shows that there are only 10 observations so this table is unlikely to be a top priority.

+
+ +See discrepancies Sample! + +
data_sample_list[["discrepancies"]]$data_sample
+
##    id contestant task episode series observed official
+## 10 10         67   NA      NA     11      159      158
+## 6   6         52   NA      NA      9      160      159
+## 5   5         51   NA      NA      9      157      158
+## 4   4         52   NA      72     NA       18       17
+## 1   1         51  416      NA     NA        2        3
+## 8   8         67   NA      86     NA       19       18
+## 2   2         52  416      NA     NA        3        2
+## 7   7         66   NA      86     NA       16       17
+## 9   9         66   NA      NA     11      153      154
+## 3   3         51   NA      72     NA       14       15
+
+
+ +See discrepancies Summary! + +
data_sample_list[["discrepancies"]]$data_summary
+
## query_output 
+## 
+##  7  Variables      10  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       10        0       10        1      5.5    3.667     1.45     1.90     3.25     5.50     7.75     9.10     9.55 
+##                                                   
+## Value        1   2   3   4   5   6   7   8   9  10
+## Frequency    1   1   1   1   1   1   1   1   1   1
+## Proportion 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## contestant 
+##        n  missing distinct     Info     Mean      Gmd 
+##       10        0        4    0.939     57.5    8.289 
+##                           
+## Value       51  52  66  67
+## Frequency    3   3   2   2
+## Proportion 0.3 0.3 0.2 0.2
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd 
+##        2        8        1        0      416        0 
+##               
+## Value      416
+## Frequency    2
+## Proportion   1
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episode 
+##        n  missing distinct     Info     Mean      Gmd 
+##        4        6        2      0.8       79    9.333 
+##                   
+## Value       72  86
+## Frequency    2   2
+## Proportion 0.5 0.5
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd 
+##        4        6        2      0.8       10    1.333 
+##                   
+## Value        9  11
+## Frequency    2   2
+## Proportion 0.5 0.5
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## observed 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       10        0       10        1     70.1    80.91     2.45     2.90    14.50    18.50   156.00   159.10   159.55 
+##                                                   
+## Value        2   3  14  16  18  19 153 157 159 160
+## Frequency    1   1   1   1   1   1   1   1   1   1
+## Proportion 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## official 
+##        n  missing distinct     Info     Mean      Gmd 
+##       10        0        8    0.988     70.1    80.56 
+##                                           
+## Value        2   3  15  17  18 154 158 159
+## Frequency    1   1   1   2   1   1   2   1
+## Proportion 0.1 0.1 0.1 0.2 0.1 0.1 0.2 0.1
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

episode_scores

+

The episode_scores table details the total number of points (score) awarded for each contestant in an episode, and their ranking within the episode against other contestants (rank). The cumulative series score and rank are also provided (series and srank respectively).3

+
+ +See episode_scores Sample! + +
data_sample_list[["episode_scores"]]$data_sample
+
##      id episode contestant score rank series srank
+## 284 284      57         46    11    4     40     5
+## 101 101      21         18    21   1=     83     4
+## 623 623     125         90     6    5    113    4=
+## 645 645     129        102    19    1     19     1
+## 400 400      80         57    12    4     97     2
+## 98   98      20         20    15    5     58     5
+## 103 103      21         20    15    4     73     5
+## 726 726     146        103    15   2=    123     2
+## 602 602     121         89    15    3     60     3
+## 326 326      66         48    10    5     24     5
+
+
+ +See episode_scores Summary! + +
data_sample_list[["episode_scores"]]$data_summary
+
## query_output 
+## 
+##  7  Variables      740  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      740        0      740        1    370.5      247    37.95    74.90   185.75   370.50   555.25   666.10   703.05 
+## 
+## lowest :   1   2   3   4   5, highest: 736 737 738 739 740
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episode 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      740        0      148        1     74.5     49.4     8.00    15.00    37.75    74.50   111.25   134.00   141.00 
+## 
+## lowest :   1   2   3   4   5, highest: 144 145 146 147 148
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## contestant 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      740        0      105        1    55.68    34.03      9.0     16.0     34.0     52.5     80.0    100.0    104.0 
+## 
+## lowest :   3   4   5   6   7, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## score 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      740        0       26    0.995    15.47    4.767        9       10       13       16       18       21       22 
+## 
+## lowest :  3  5  6  7  8, highest: 25 26 27 28 30
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## rank 
+##        n  missing distinct 
+##      740        0        9 
+##                                                                 
+## Value          1    1=     2    2=     3    3=     4    4=     5
+## Frequency    123    52   104    41   105    46   108    32   129
+## Proportion 0.166 0.070 0.141 0.055 0.142 0.062 0.146 0.043 0.174
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      740        0      166        1    77.45    52.36     13.0     17.0     37.0     74.5    113.0    142.0    155.0 
+## 
+## lowest :   5   6   7   8   9, highest: 174 175 176 181 184
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## srank 
+##        n  missing distinct 
+##      740        0        9 
+##                                                                 
+## Value          1    1=     2    2=     3    3=     4    4=     5
+## Frequency    140    16   123    37   121    20   125    22   136
+## Proportion 0.189 0.022 0.166 0.050 0.164 0.027 0.169 0.030 0.184
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

episodes

+

The episodes table details key information at the (series, episode) level. Information includes the episode title (title), the winner of the episode (winner), total number of judged tasks in the episode (tasks) and total number of points awarded in the episode (points). Logistical information on the episode such as whether the episode is a finale or not, and the studio and air date are also available.

+

It is not clear at the moment as to what the TMI represents.

+
+ +See episodes Sample! + +
data_sample_list[["episodes"]]$data_sample
+
##      id series episode                     title winner   air_date studio_date points tasks finale TMI
+## 28   28      5       4  Residue around the hoof.     25 2017-10-04  2017-07-04     96     7      0  28
+## 80   80     10       6             Hippopotamus.     56 2020-11-19  2020-07-29     77     5      0  80
+## 101 101     12       6       A chair in a sweet.     70 2021-10-28        <NA>     76     5      0 267
+## 111 111     13       5  Having a little chuckle.     78 2022-05-12  2021-09-20     67     5      0 316
+## 137 137     15       9    A show about pedantry.    101 2023-05-25  2022-09-28     84     5      0 470
+## 133 133     15       5             Old Honkfoot.    102 2023-04-27  2022-09-26     97     5      0 466
+## 132 132     15       4   How heavy is the water?    100 2023-04-20  2022-09-23     57     5      0 465
+## 98   98     12       3 The end of the franchise.     69 2021-10-07        <NA>     80     5      0 264
+## 103 103     12       8       A couple of Ethels.     68 2021-11-11        <NA>     79     5      0 269
+## 90   90     11       5            Slap and tong.     63 2021-04-15        <NA>     70     5      0 215
+
+
+ +See episodes Summary! + +
data_sample_list[["episodes"]]$data_summary
+
## query_output 
+## 
+##  11  Variables      148  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0      148        1     74.5    49.67     8.35    15.70    37.75    74.50   111.25   133.30   140.65 
+## 
+## lowest :   1   2   3   4   5, highest: 144 145 146 147 148
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0       21    0.996    8.764    5.553        1        2        5        9       13       15       16 
+## 
+## lowest : -5 -4 -3 -2 -1, highest: 12 13 14 15 16
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episode 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0       10    0.989    4.966    3.286        1        1        2        5        7        9       10 
+##                                                                       
+## Value          1     2     3     4     5     6     7     8     9    10
+## Frequency     21    17    16    16    16    14    13    13    11    11
+## Proportion 0.142 0.115 0.108 0.108 0.108 0.095 0.088 0.088 0.074 0.074
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## title 
+##        n  missing distinct 
+##      148        0      148 
+## 
+## lowest : 100% Bosco.              A chair in a sweet.      A coquettish fascinator. A couple of Ethels.      A cuddle.               , highest: Welcome to Rico Face.    What kind of pictures?   Wiley giraffe blower.    You've got no chutzpah.  You tuper super.        
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## winner 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0       78        1    55.77    34.28    10.35    16.00    34.75    52.50    80.00   101.00   103.65 
+## 
+## lowest :   3   4   5   7   8, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## air_date 
+##        n  missing distinct 
+##      148        0      148 
+## 
+## lowest : 2015-07-28 2015-08-04 2015-08-11 2015-08-18 2015-08-25, highest: 2023-10-26 2023-11-02 2023-11-09 2023-11-16 2023-11-23
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## studio_date 
+##        n  missing distinct 
+##      108       40       55 
+## 
+## lowest : 2015-03-23 2015-03-24 2015-03-25 2017-07-03 2017-07-04, highest: 2023-05-02 2023-05-03 2023-05-04 2023-05-11 2023-05-12
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## points 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0       48    0.998    77.36     12.2    61.35    65.00    71.00    77.00    82.25    91.30    98.00 
+## 
+## lowest :  47  53  57  58  59, highest: 103 106 107 110 120
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## tasks 
+##        n  missing distinct     Info     Mean      Gmd 
+##      148        0        3    0.565    5.264   0.4044 
+##                             
+## Value          5     6     7
+## Frequency    111    35     2
+## Proportion 0.750 0.236 0.014
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## finale 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##      148        0        2    0.289       16   0.1081   0.1942 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## TMI 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0      148        1    178.2      187     8.35    15.70    37.75    74.50   317.25   466.30   503.65 
+## 
+## lowest :   1   2   3   4   5, highest: 507 508 509 510 511
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

intros

+

The intros table has information associated with the intro sequence for each series. This intro sequence is assumed to remain the same across all episodes within the same series (except for the end shot which features the episode title).

+

The intro sequence has been decomposed into which person is featured (person is not limited to contestants and can include Greg or Little Alex Horne), and the task it is taken from. The clip field does not seem to have much meaning in its R form, but inspecting this data through the Datasette website highlights that this links to a mp4 of that particular part of the intro on imgur.com. 4

+
+ +See intros Sample! + +
data_sample_list[["intros"]]$data_sample
+
##      id series clip person              task
+## 284 284      7   G6      2 Be the Taskmaster
+## 101 101      3   18     13                86
+## 400 400     10   26     57               464
+## 98   98      3   15     15                91
+## 103 103      3   18     15                86
+## 602 602     16   15      1               811
+## 326 326      9    2     51      unidentified
+## 79   79      3    2     14                68
+## 270 270      7   19     38               272
+## 382 382     10   12      1               466
+
+
+ +See intros Summary! + +
data_sample_list[["intros"]]$data_summary
+
## query_output 
+## 
+##  5  Variables      616  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      616        0      616        1    308.5    205.7    31.75    62.50   154.75   308.50   462.25   554.50   585.25 
+## 
+## lowest :   1   2   3   4   5, highest: 612 613 614 615 616
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      616        0       16    0.996    8.263    5.288        1        2        4        8       12       15       16 
+##                                                                                                           
+## Value          1     2     3     4     5     6     7     8     9    10    11    12    13    14    15    16
+## Frequency     38    38    44    49    38    36    41    39    43    36    34    34    37    37    37    35
+## Proportion 0.062 0.062 0.071 0.080 0.062 0.058 0.067 0.063 0.070 0.058 0.055 0.055 0.060 0.060 0.060 0.057
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## clip 
+##        n  missing distinct 
+##      616        0       36 
+## 
+## lowest : 1  10 11 12 13, highest: G2 G3 G4 G5 G6
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## person 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      616        0       83    0.994    34.97    37.52      1.0      1.0      2.0     24.0     58.5     90.0    101.0 
+## 
+## lowest :   0   1   2   3   4, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct 
+##      616        0      274 
+## 
+## lowest : 101               102               107               113               114              , highest: 92                96                Be the Taskmaster unaired           unidentified     
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

measurements

+

The measurements table table details for a particular task, contestant, the measurable outcome of their attempt.

+

For example, the duration of the time the task lasted for (either to successful completion, or until failure termination) or the longest distance travelled. The objective column provides insight into the units of the measurement and the objective (for example most, least, closest).

+

Care is likely required on the measurement field as to how inconclusive measurements are handed (was not observed and thus measured) and disqualifications.

+
+ +See measurements Sample! + +
data_sample_list[["measurements"]]$data_sample
+
##        id task contestant measurement objective
+## 1308 1308  551         69         0.0         2
+## 1872 1872  762        100         3.8         4
+## 1018 1018  439         57       393.0         2
+## 1942 1942  785        106       474.0         2
+## 1125 1125  486         58      1500.0       111
+## 1004 1004  435         53         8.0       103
+## 623   623  258         33        20.5        27
+## 905   905  381         51         0.0        94
+## 645   645  264         35         0.0        75
+## 934   934  394         50         0.0        97
+
+
+ +See measurements Summary! + +
data_sample_list[["measurements"]]$data_summary
+
## query_output 
+## 
+##  5  Variables      2037  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     2037        0     2037        1     1019    679.3    102.8    204.6    510.0   1019.0   1528.0   1833.4   1935.2 
+## 
+## lowest :    1    2    3    4    5, highest: 2033 2034 2035 2036 2037
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     2037        0      391        1    418.9    279.9       37       73      205      440      627      744      782 
+## 
+## lowest :   2   4   6   8   9, highest: 809 811 813 814 819
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## contestant 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     2037        0      106        1    55.33    35.27        7       14       32       54       80      101      104 
+## 
+## lowest :   1   3   4   5   6, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## measurement 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     1819      218      671    0.999   298921   597507      0.0      0.5      3.0     16.0    270.0    921.2   1527.3 
+## 
+## lowest :     -2143      -128       -40       -35       -33, highest:   4185000  10368000  30305028  30355028 461031285
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## objective 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     2037        0      179    0.967    48.24    57.37        2        2        2       30       91      139      159 
+## 
+## lowest :   1   2   3   4   5, highest: 175 176 177 178 179
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

normalized_scores

+

The normalized_scores table attempts to normalise scores across contestants for a particular task in an episode. This normalisation is required when bonus points are awarded in addition to the main tasak, and to handle ranking ties (two or more contestants achieved the same measurement and/or points in a task attempt), different ranking strategies are employed to handle ties.

+

Columns:

+ +
+ +See normalized_scores Sample! + +
data_sample_list[["normalized_scores"]]$data_sample
+
##        id task contestant base adjustment points rank rigid spread scale 5+3 3+2 3½+2½
+## 3356 3356  693         91    5         NA      5   1=     5    3.5  3.57  NA  NA    NA
+## 3920 3920  808        107    5         NA      5   1=     5    4.5  4.69  NA  NA    NA
+## 3066 3066  635         81    5         NA      5    1     5    5.0  5.00  NA  NA    NA
+## 3173 3173  657         83    0         NA      0 <NA>    NA     NA    NA  NA  NA    NA
+## 1004 1004  214         37    1         NA      1   2=    NA     NA  1.25   3   2   2.5
+## 623   623  133         20    3         NA      3    3     3    3.0  3.00  NA  NA    NA
+## 2953 2953  611         82    4          1      5    2     4    4.0  4.00  NA  NA    NA
+## 2693 2693  559         69    2         NA      2   4=     2    1.5  1.88  NA  NA    NA
+## 934   934  199         30    4         NA      4   2=     4    3.0  3.33  NA  NA    NA
+## 400   400   84         15    1         NA      1    5     1    1.0  1.00  NA  NA    NA
+
+
+ +See normalized_scores Summary! + +
data_sample_list[["normalized_scores"]]$data_summary
+
## query_output 
+## 
+##  13  Variables      3975  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3975        0     3975        1     1988     1325    199.7    398.4    994.5   1988.0   2981.5   3577.6   3776.3 
+## 
+## lowest :    1    2    3    4    5, highest: 3971 3972 3973 3974 3975
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3975        0      819        1    413.4      272     44.0     84.0    212.5    414.0    617.0    737.6    778.3 
+## 
+## lowest :   1   2   3   4   5, highest: 815 816 817 818 819
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## contestant 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3975        0      106        1    54.53       34        9       16       33       51       79      100      104 
+## 
+## lowest :   1   3   4   5   6, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## base 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3795      180       15    0.966    3.008    1.833        0        1        2        3        4        5        5 
+##                                                                                                     
+## Value         -5    -2    -1     0     1     2     3     4     5     6     7    10    12    13    15
+## Frequency      2     2     1   279   511   651   738   717   877     7     1     5     2     1     1
+## Proportion 0.001 0.001 0.000 0.074 0.135 0.172 0.194 0.189 0.231 0.002 0.000 0.001 0.001 0.000 0.000
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## adjustment 
+##        n  missing distinct     Info     Mean      Gmd 
+##       63     3912        7    0.584    0.619    1.269 
+##                                                     
+## Value         -5    -2    -1     1     2     3     5
+## Frequency      3     2     5    47     4     1     1
+## Proportion 0.048 0.032 0.079 0.746 0.063 0.016 0.016
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## points 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3975        0       16    0.969    2.882    1.935        0        0        2        3        4        5        5 
+##                                                                                                           
+## Value         -5    -4    -2    -1     0     1     2     3     4     5     6     7    10    12    13    15
+## Frequency      2     1     2     3   444   520   645   740   717   878    12     2     5     2     1     1
+## Proportion 0.001 0.000 0.001 0.001 0.112 0.131 0.162 0.186 0.180 0.221 0.003 0.001 0.001 0.001 0.000 0.000
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## rank 
+##        n  missing distinct 
+##     3510      465        9 
+##                                                                 
+## Value          1    1=     2    2=     3    3=     4    4=     5
+## Frequency    614   397   515   328   470   160   443   120   463
+## Proportion 0.175 0.113 0.147 0.093 0.134 0.046 0.126 0.034 0.132
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## rigid 
+##        n  missing distinct     Info     Mean      Gmd 
+##     3104      871        5    0.957    3.235    1.566 
+##                                         
+## Value          1     2     3     4     5
+## Frequency    463   563   624   691   763
+## Proportion 0.149 0.181 0.201 0.223 0.246
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## spread 
+##        n  missing distinct     Info     Mean      Gmd 
+##     3084      891        9    0.975    3.098    1.567 
+##                                                                 
+## Value        1.0   1.5   2.0   2.5   3.0   3.5   4.0   4.5   5.0
+## Frequency    460   120   495   130   514   120   543    92   610
+## Proportion 0.149 0.039 0.161 0.042 0.167 0.039 0.176 0.030 0.198
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## scale 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3484      491       53    0.987    3.102    1.504        1        1        2        3        4        5        5 
+## 
+## lowest : 0.385 0.5   0.714 0.75  0.833, highest: 4.41  4.5   4.62  4.69  5    
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## 5+3 
+##        n  missing distinct     Info     Mean      Gmd 
+##      400     3575        2    0.707     4.24   0.9448 
+##                     
+## Value         3    5
+## Frequency   152  248
+## Proportion 0.38 0.62
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## 3+2 
+##        n  missing distinct     Info     Mean      Gmd 
+##      400     3575        2    0.707     2.62   0.4724 
+##                     
+## Value         2    3
+## Frequency   152  248
+## Proportion 0.38 0.62
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## 3½+2½ 
+##        n  missing distinct     Info     Mean      Gmd 
+##      400     3575        2    0.707     3.12   0.4724 
+##                     
+## Value       2.5  3.5
+## Frequency   152  248
+## Proportion 0.38 0.62
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

objectives

+

The objectives table is a supplement of the measurements table and explicitly details the units, the objective (target) of a task. The label column appears to be a concatenation of unit and target.

+
+ +See objectives Sample! + +
data_sample_list[["objectives"]]$data_sample
+
##      id              unit target               label
+## 28   28        sweatdrops   most        sweatdrops ▲
+## 80   80  understood words   most  understood words ▲
+## 150 150     wrong guesses  least     wrong guesses ▼
+## 101 101          balloons   most          balloons ▲
+## 111 111 centimeters cubed   most centimeters cubed ▲
+## 137 137             hertz   most             hertz ▲
+## 133 133        characters   most        characters ▲
+## 166 166  piled pineapples   most  piled pineapples ▲
+## 144 144             signs   most             signs ▲
+## 132 132         questions  least         questions ▼
+
+
+ +See objectives Summary! + +
data_sample_list[["objectives"]]$data_summary
+
## query_output 
+## 
+##  4  Variables      179  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      179        0      179        1       90       60      9.9     18.8     45.5     90.0    134.5    161.2    170.1 
+## 
+## lowest :   1   2   3   4   5, highest: 175 176 177 178 179
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## unit 
+##        n  missing distinct 
+##      179        0      168 
+## 
+## lowest : % sand diverted  % signs obeyed   £                actual facts     alarms          , highest: understood words votes            white circles    wrong guesses    zip-lined items 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## target 
+##        n  missing distinct 
+##      179        0        3 
+##                                
+## Value       least median   most
+## Frequency      42      1    136
+## Proportion  0.235  0.006  0.760
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## label 
+##        n  missing distinct 
+##      179        0      179 
+## 
+## lowest : % sand diverted ▲ % signs obeyed ▲  £ ▲               actual facts ▲    alarms ▼         , highest: votes ▲           white circles ▲   wrong guesses ▲   wrong guesses ▼   zip-lined items ▲
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

people

+

The people table provides a variety information on both contestants, the Taskmaster and Little Alex Horne. Included information is both Taskmaster specific (which seat are they in, the team they were part of, whether they were a champion), and more general information (dob, gender, left or right handed (hand).

+

TMI is an identifier for the on the taskmaster.info website that the data is collated from.

+
+ +See people Sample! + +
data_sample_list[["people"]]$data_sample
+
##      id series seat              name        dob gender hand team champion TMI
+## 28   28     -1    1      Bob Mortimer 1959-05-23      M    R   NA        0  42
+## 80   80     13    3      Chris Ramsey 1986-08-03      M    R   29        0 310
+## 22   22      4    5     Noel Fielding 1973-05-21      M    R    8        1  21
+## 101 101     15    4 Kiell Smith-Bynoe 1989-03-05      M    R   34        0 394
+## 108 108     -6    1    Deborah Meaden 1959-02-11      F    R   NA        0 512
+## 111 111     -6    4   Steve Backshall 1973-04-21      M    R   NA        0 515
+## 9     9      2    2     Joe Wilkinson 1975-05-02      M    R    4        0  70
+## 5     5      1    3     Roisin Conaty 1979-03-26      F    R    2        0  15
+## 38   38      7    1     James Acaster 1985-01-09      M    R   14        0   1
+## 16   16      3    4       Rob Beckett 1986-01-02      M    R    5        1   8
+
+
+ +See people Summary! + +
data_sample_list[["people"]]$data_summary
+
## query_output 
+## 
+##  10  Variables      117  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      117        0      117        1       59    39.33      6.8     12.6     30.0     59.0     88.0    105.4    111.2 
+## 
+## lowest :   1   2   3   4   5, highest: 113 114 115 116 117
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      115        2       23    0.998    4.696    8.146       -6       -5       -2        5       11       14       15 
+## 
+## lowest : -7 -6 -5 -4 -3, highest: 12 13 14 15 16
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## seat 
+##        n  missing distinct     Info     Mean      Gmd 
+##      115        2        5     0.96        3    1.614 
+##                               
+## Value        1   2   3   4   5
+## Frequency   23  23  23  23  23
+## Proportion 0.2 0.2 0.2 0.2 0.2
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## name 
+##        n  missing distinct 
+##      117        0      102 
+## 
+## lowest : Adrian Chiles           Aisling Bea             Al Murray               Alan Davies             Alex Horne             , highest: Susan Wokoma            Tim Key                 Tim Vine                Victoria Coren Mitchell Zoe Ball               
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## dob 
+##        n  missing distinct 
+##      117        0      102 
+## 
+## lowest : 1957-01-28 1957-07-23 1959-02-11 1959-05-23 1959-05-25, highest: 1992-12-29 1993-01-04 1993-05-28 1994-01-30 2009-03-18
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## gender 
+##        n  missing distinct 
+##      117        0        3 
+##                             
+## Value          F     M    NB
+## Frequency     49    67     1
+## Proportion 0.419 0.573 0.009
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## hand 
+##        n  missing distinct 
+##      117        0        2 
+##                     
+## Value         L    R
+## Frequency     7  110
+## Proportion 0.06 0.94
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## team 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       80       37       32    0.999    18.23    12.74     2.00     4.00     8.75    16.50    28.25    33.10    35.00 
+## 
+## lowest :  1  2  3  4  5, highest: 32 33 34 35 36
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## champion 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##      117        0        2    0.354       16   0.1368   0.2381 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## TMI 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      117        0      102        1    170.2    183.8      8.0     14.6     31.0     60.0    320.0    416.4    457.2 
+## 
+## lowest :   1   2   5   6   7, highest: 512 513 514 515 516
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

podcast

+

The podcast table provides information regarding the Official Taskmaster Podcast hosted by Ed Gamble (no the People’s Taskmaster). Information on who the podcast guest was, their rating for the podcast episode, and the topic is available (topic will typically be the latest episode broadcasted).

+
+ +See podcast Sample! + +
data_sample_list[["podcast"]]$data_sample
+
##      id episode guest topic rating
+## 28   28      28    67    90      5
+## 80   80      79    78   110      5
+## 101 101     100    90   120      5
+## 111 111     110    46    56      5
+## 137 137     136    82    71      3
+## 133 133     132    27   137      4
+## 144 144     143   103   142      5
+## 132 132     131     0   136      5
+## 98   98      97    38    53      4
+## 103 103     102    52   122      4
+
+
+ +See podcast Summary! + +
data_sample_list[["podcast"]]$data_summary
+
## query_output 
+## 
+##  5  Variables      150  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      150        0      150        1     75.5    50.33     8.45    15.90    38.25    75.50   112.75   135.10   142.55 
+## 
+## lowest :   1   2   3   4   5, highest: 146 147 148 149 150
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episode 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      150        0      149        1    74.72    49.99     8.45    15.90    37.25    74.50   111.75   134.10   141.55 
+## 
+## lowest :   1   2   3   4   5, highest: 145 146 147 148 149
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## guest 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      150        0       68    0.992    40.54    39.61      0.0      0.0      4.0     40.0     67.0     92.3    100.5 
+## 
+## lowest :   0   1   2   4   6, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## topic 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      150        0      149        1    74.14    49.87     7.45    14.90    37.25    74.50   110.75   133.10   140.55 
+## 
+## lowest :   0   1   2   3   4, highest: 144 145 146 147 148
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## rating 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      149        1       12     0.72    4.829    1.632      2.4      3.0      4.0      5.0      5.0      5.0      5.0 
+##                                                                                               
+## Value       0.000  1.000  2.000  3.000  3.894  4.000  4.600  5.000  6.000  9.000 10.000 50.000
+## Frequency       1      4      3     15      1     21      1     97      3      1      1      1
+## Proportion  0.007  0.027  0.020  0.101  0.007  0.141  0.007  0.651  0.020  0.007  0.007  0.007
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

profanity

+

The profanity table details the profanity observed on the show. Each record details which series, episode, task the profanity occurred, who was the profanity offender (speaker), the offending words (roots) and the exact quote. Whether the profanity occurred in the studio or not (a pre-recorded task) is also available.

+
+ +See profanity Sample! + +
data_sample_list[["profanity"]]$data_sample
+
##        id series episode task speaker                   roots                                                                                                                      quote studio
+## 1308 1308     11      88  503       1                ["fuck"]                                        Well, I wouldn't have used those words, no, I would have said completely fucked it.      1
+## 1872 1872     15     136  751      99                ["damn"]                                       I've had very few points for LOLs-based prize tasks, so here's some goddamn feeling.      1
+## 1018 1018      9      67  393      48 ["ass/arse","ass/arse"]                                                               It just says Broad Arse now. Do you want a Broad Arse Award?      0
+## 1942 1942     16     141  781     107             ["bastard"]                                                                                                       It is Chain Bastard.      0
+## 1125 1125      9      74  428      49                ["fuck"] Were you just thinking, "Why have they saved this boring task for the end of the series?" Because fuck me, strap in, mate.      1
+## 1004 1004      9      67  389       2                ["dick"]                                                                                                    The stick and the dick.      1
+## 623   623      6      39  234      36                ["fuck"]                                                                                                            Oh, fucking...!      0
+## 905   905      8      59  347      43                ["fuck"]                                                              "You may not leave the room." Fuck it, let's do that as well.      0
+## 645   645      6      40  240      36             ["bastard"]                                                                             I'm just gonna have to Sellotape this bastard.      0
+## 934   934      8      62  364       2                ["shit"]                                                                                                              It's so shit!      1
+
+
+ +See profanity Summary! + +
data_sample_list[["profanity"]]$data_summary
+
## query_output 
+## 
+##  8  Variables      2041  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     2041        0     2041        1     1021    680.7      103      205      511     1021     1531     1837     1939 
+## 
+## lowest :    1    2    3    4    5, highest: 2037 2038 2039 2040 2041
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     2041        0       21    0.996    8.271    5.597        1        2        5        8       12       15       16 
+## 
+## lowest : -5 -4 -3 -2 -1, highest: 12 13 14 15 16
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episode 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     2041        0      148        1    70.17    49.61        6       12       34       67      108      132      141 
+## 
+## lowest :   1   2   3   4   5, highest: 144 145 146 147 148
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     2026       15      647        1    399.2      274    36.25    67.00   204.00   396.50   603.75   734.00   781.00 
+## 
+## lowest :   1   2   3   4   6, highest: 814 815 816 817 818
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## speaker 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     2041        0       99    0.974    36.44    37.98        2        2        2       34       63       91      101 
+## 
+## lowest :   0   1   2   3   4, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## roots 
+##        n  missing distinct 
+##     2041        0       69 
+## 
+## lowest : ["ass/arse","ass/arse"]                     ["ass/arse","bitch"]                        ["ass/arse"]                                ["bastard","bastard"]                       ["bastard"]                                , highest: ["twat"]                                    ["wank","cock"]                             ["wank","fuck","shit","cunt","tits","cock"] ["wank"]                                    ["whore"]                                  
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## quote 
+##        n  missing distinct 
+##     2041        0     1791 
+## 
+## lowest : 'Cause I thought I might have a shit while it was brewing.                                                         'Cause it ended up being dogshit!                                                                                  'Cause water's very fundamental to building sand bridges, ain't it? I'm sure that was on Countryfile or some shit. "'Fuck off!' roared Alex, grabbing the axe."                                                                       "And tiny bitch-puppet, Alex Horne."                                                                              
+## highest: You wouldn't have "activated Jamali" at all if he hadn't said "What the fuck am I doing?"                          You wouldn't take some prick with a blow-up walking stick.                                                         You, sir, are shit.                                                                                                Your trophy's been pissed on already.                                                                              Yours looks like a sort of naan matador gone wrong. Fuckin' horrifying!                                           
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## studio 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##     2041        0        2    0.736     1158   0.5674   0.4912 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

series

+

The series table details information at a series level. Information includes the number of episodes in the series, the champion, the total number of brodcasted tasks, and the total number of points awarded. Logistical information such as dates associated with the airing and studio record, and whether the series is a special is also available.

+

TMI is a id for the taskmaster.info website.

+

Further analysis of this table indicates that only information pertaining to the UK series of Taskmaster (regular and New Years Treat specials), are available.

+
+ +See series Sample! + +
data_sample_list[["series"]]$data_sample
+
##    id      name episodes champion  air_start    air_end studio_start studio_end points tasks special TMI
+## 16  9  Series 9       10       49 2019-09-04 2019-11-06   2019-07-18 2019-07-24    766    51       0  10
+## 22 15 Series 15       10      102 2023-03-30 2023-06-01   2022-09-22 2022-09-28    765    50       0  56
+## 5  -3  NYT 2022        1       73 2022-01-01 2022-01-01         <NA>       <NA>     68     5       1  47
+## 12  5  Series 5        8       24 2017-09-13 2017-11-01   2017-07-03 2017-07-06    631    44       0   5
+## 15  8  Series 8       10       45 2019-05-08 2019-07-10   2019-03-21 2019-03-27    749    54       0   9
+## 9   2  Series 2        5       11 2016-06-21 2016-07-19         <NA>       <NA>    417    28       0   2
+## 21 14 Series 14       10       88 2022-09-29 2022-12-01   2022-04-28 2022-05-05    796    52       0  55
+## 6  -2  NYT 2021        1       62 2021-01-01 2021-01-01         <NA>       <NA>     62     5       1  12
+## 4  -4    CoC II        1       87 2022-06-23 2022-06-23   2021-09-15 2021-09-15     66     5       1  46
+## 2  -6  NYT 2024        0       NA 2024-01-01 2024-01-01   2023-11-27 2023-11-27     NA    NA       1  87
+
+
+ +See series Summary! + +
data_sample_list[["series"]]$data_summary
+
## query_output 
+## 
+##  12  Variables      23  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       23        0       23        1    4.696    8.443     -5.9     -4.8     -1.5      5.0     10.5     13.8     14.9 
+## 
+## lowest : -7 -6 -5 -4 -3, highest: 12 13 14 15 16
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## name 
+##        n  missing distinct 
+##       23        0       23 
+## 
+## lowest : CoC      CoC II   CoC III  NYT 2021 NYT 2022, highest: Series 5 Series 6 Series 7 Series 8 Series 9
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episodes 
+##        n  missing distinct     Info     Mean      Gmd 
+##       23        0        7    0.885    6.435    4.466 
+##                                                     
+## Value          0     1     2     5     6     8    10
+## Frequency      2     4     1     2     1     2    11
+## Proportion 0.087 0.174 0.043 0.087 0.043 0.087 0.478
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## champion 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       21        2       21        1    55.48    36.91       11       16       29       57       82       96      102 
+## 
+## lowest :   4  11  16  22  24, highest:  87  88  96 102 105
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## air_start 
+##        n  missing distinct 
+##       23        0       23 
+## 
+## lowest : 2015-07-28 2016-06-21 2016-10-04 2017-04-25 2017-09-13, highest: 2023-01-01 2023-03-30 2023-09-21 2024-??-?? 2024-01-01
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## air_end 
+##        n  missing distinct 
+##       23        0       23 
+## 
+## lowest : 2015-09-01 2016-07-19 2016-11-01 2017-06-13 2017-11-01, highest: 2023-01-01 2023-06-01 2023-11-23 2024-??-?? 2024-01-01
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## studio_start 
+##        n  missing distinct 
+##       16        7       16 
+##                                                                                                                                                                                           
+## Value      2015-03-23 2017-07-03 2017-11-20 2018-03-22 2018-07-19 2019-03-21 2019-07-18 2020-07-25 2021-09-15 2021-09-16 2022-04-28 2022-09-22 2022-11-22 2023-05-02 2023-11-27 2023-11-28
+## Frequency           1          1          1          1          1          1          1          1          1          1          1          1          1          1          1          1
+## Proportion      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## studio_end 
+##        n  missing distinct 
+##       16        7       16 
+##                                                                                                                                                                                           
+## Value      2015-03-25 2017-07-06 2017-11-20 2018-03-28 2018-07-25 2019-03-27 2019-07-24 2020-07-29 2021-09-15 2021-09-22 2022-05-05 2022-09-28 2022-11-22 2023-05-12 2023-11-27 2023-11-28
+## Frequency           1          1          1          1          1          1          1          1          1          1          1          1          1          1          1          1
+## Proportion      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## points 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       21        2       21        1    545.2    319.3       66       68      386      721      766      796      816 
+## 
+## lowest :  62  66  68  76 164, highest: 778 795 796 816 837
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## tasks 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       21        2       13    0.984     37.1    21.22        5        5       27       50       51       54       56 
+##                                                                                         
+## Value          5    10    27    28    32    44    46    50    51    52    54    56    57
+## Frequency      4     1     1     1     1     1     1     4     3     1     1     1     1
+## Proportion 0.190 0.048 0.048 0.048 0.048 0.048 0.048 0.190 0.143 0.048 0.048 0.048 0.048
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## special 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##       23        0        2    0.636        7   0.3043   0.4427 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## TMI 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       23        0       23        1    31.04    32.67      2.1      3.2      6.5     12.0     51.5     71.6     85.6 
+## 
+## lowest :  1  2  3  4  5, highest: 56 66 73 87 88
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

series_scores

+

The series_scores table provides (series, contestant information). Namely, this is the score at the end of the series, and their overall rank within the series.

+
+ +See series_scores Sample! + +
data_sample_list[["series_scores"]]$data_sample
+
##      id series contestant score rank
+## 28   28     -1         30    35    3
+## 80   80     13         82   173    1
+## 22   22      5         24   138    1
+## 101 101     16        103   155    2
+## 9     9      2         11    94    1
+## 5     5      1          7    88    4
+## 38   38      7         40   176    1
+## 16   16      4         18   129    4
+## 4     4      1          6    93   2=
+## 86   86     14         88   184    1
+
+
+ +See series_scores Summary! + +
data_sample_list[["series_scores"]]$data_summary
+
## query_output 
+## 
+##  5  Variables      105  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      105        0      105        1       53    35.33      6.2     11.4     27.0     53.0     79.0     94.6     99.8 
+## 
+## lowest :   1   2   3   4   5, highest: 101 102 103 104 105
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      105        0       21    0.998    5.762    7.418       -4       -3        1        6       11       14       15 
+## 
+## lowest : -5 -4 -3 -2 -1, highest: 12 13 14 15 16
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## contestant 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      105        0      105        1       55    35.33      8.2     13.4     29.0     55.0     81.0     96.6    101.8 
+## 
+## lowest :   3   4   5   6   7, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## score 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      105        0       69        1      109    64.45     12.0     14.0     68.0    133.0    157.0    167.6    174.0 
+## 
+## lowest :   6  10  11  12  13, highest: 174 175 176 181 184
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## rank 
+##        n  missing distinct 
+##      105        0        8 
+##                                                           
+## Value          1     2    2=     3    3=     4    4=     5
+## Frequency     21    18     8    16     4    16     4    18
+## Proportion 0.200 0.171 0.076 0.152 0.038 0.152 0.038 0.171
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

special_locations

+

The special_locations table has information for the location based tasks outside of the Taskmaster house. This includes the name and the latitude and longitude co-ordinates (latlong).

+
+ +See special_locations Sample! + +
data_sample_list[["special_locations"]]$data_sample
+
##    id                             name               latlong
+## 28 28                  Wormsley Estate -0.9316485,51.6428272
+## 16 16                 J P S Stationers -0.6131217,51.7036744
+## 26 26   Gatwick Airport South Terminal -0.1631023,51.1557464
+## 22 22 Dukes Meadows Golf, Tennis & Ski -0.2653105,51.4737559
+## 5   5                  Northala Fields -0.3716583,51.5396963
+## 12 12     Chesham United Football Club  -0.613986,51.6988773
+## 15 15        Girl Guiding Headquarters -0.6168708,51.7049596
+## 9   9           Barn Elms Sports Trust -0.2328479,51.4741326
+## 24 24         Chiltern Open Air Museum -0.5422757,51.6358058
+## 6   6                Chesham Town Hall -0.6138502,51.7048446
+
+
+ +See series Summary! + +
data_sample_list[["special_locations"]]$data_summary
+
## query_output 
+## 
+##  3  Variables      28  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       28        0       28        1     14.5    9.667     2.35     3.70     7.75    14.50    21.25    25.30    26.65 
+## 
+## lowest :  1  2  3  4  5, highest: 24 25 26 27 28
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## name 
+##        n  missing distinct 
+##       28        0       28 
+## 
+## lowest : All Saints Pastoral Centre     Barn Elms Sports Trust         Barnes Hockey Club             Barnes Sports Club             Buckinghamshire Railway Centre, highest: Thames Riverbank               The Black Horse Inn            White Waltham Airfield         Woodrow High House             Wormsley Estate               
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## latlong 
+##        n  missing distinct 
+##       28        0       28 
+## 
+## lowest : -0.043288,51.4979182  -0.1631023,51.1557464 -0.2328479,51.4741326 -0.2477399,51.477788  -0.2522033,51.4765784, highest: -0.7557284,51.6302973 -0.7735901,51.4945097 -0.7917774,51.1575941 -0.9280446,51.8644793 -0.9316485,51.6428272
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

task_briefs

+

The task_briefs table, as the name suggests provides the exact brief that was provided to contestants.

+
+ +See task_briefs Sample! + +
data_sample_list[["task_briefs"]]$data_sample
+
##      id task                                                                                                                                                                                                                                                                                                                                                                                       brief
+## 284 284  284                 Dramatically alter your appearance.\nMost dramatic alteration wins.\nYou may start altering your appearance when you are inside the lift and the doors are closed.\nYou must stop altering your appearance when the doors open again.\nYou may inspect the contents of the briefcase for five minutes before the lift doors open for the first time.\nYour time starts now.
+## 101 101  101                                                                                                                                                                                                                                       Paint the best picture of the Taskmaster.\nOnly the paint and brush may touch the mat, easel and canvas.\nYou have 10 minutes.\nYour time starts now.
+## 623 623  623                                                                                                                    Answer Alex's phone call.\nIf you find a cuddly toy, you must carry it with you until you answer Alex's phone call.\nAlso, you must be making a noise over 50 decibels for at least 50% of the time until you answer Alex's phone.\nFastest wins.\nYour time starts now.
+## 645 645  645                                                       Poke a part of your body out of the shower curtain and waggle it about for 10 seconds.\nThe Taskmaster will guess what part of the body it is.\nThe biggest part of the body that the Taskmaster incorrectly identifies wins.\nYou must poke your body part out of the shower curtain and waggle it about within the next 15 minutes.
+## 400 400  400                                                                                                                                                                                                                                                                                                                                                            Bring in the best defunct thing.
+## 98   98   98                                   Make the most juice.\nYou must pick one fruit and one tool.\nIf you pick the same tool as someone else, you must juice blindfolded.\nIf you pick the same fruit as someone else, you must juice one-handed.\nIf you pick the same fruit and tool as someone else, you must juice blindfolded, one-handed, and bouncing up and down.\nYou have one minute.
+## 103 103  103                                                                      Without touching the egg or the eggcup, get the egg into the eggcup.\nYou may only use the equipment currently on the table.\nIf you touch a piece of equipment that another contestant touches, you will both receive a one minute time penalty per piece of equipment touched.\nFastest wins.\nYour time starts now.
+## 726 726  726                                                                                                                                                                                                                                                                                                                                                             Bring in the most heroic thing.
+## 602 602  602 Count to 13 as a group, each player taking it in turns to say a number.\nEvery time you say an odd number, you must also squat.\nEvery time you say an even number, you must also jump.\nIf you make a mistake, you are out.\nIf you reach 13, or someone is eliminated, other rules will be introduced.\nIf the Taskmaster thinks you have hesitated for too long, you will be eliminated.
+## 326 326  326                                      Alex is on the bridge in the distance with lights on his head.\nGet as close as you can to Alex without him noticing you.\nAlex will duck down the wall for 10 seconds, then pop up for 10 seconds, then duck down for 10 seconds and so on until he notices you.\nThe task starts when Alex first ducks down behind the wall, in one minute from now.
+
+
+ +See task_briefs Summary! + +
data_sample_list[["task_briefs"]]$data_summary
+
## query_output 
+## 
+##  3  Variables      819  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      819        0      819        1      410    273.3     41.9     82.8    205.5    410.0    614.5    737.2    778.1 
+## 
+## lowest :   1   2   3   4   5, highest: 815 816 817 818 819
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      819        0      819        1      410    273.3     41.9     82.8    205.5    410.0    614.5    737.2    778.1 
+## 
+## lowest :   1   2   3   4   5, highest: 815 816 817 818 819
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## brief 
+##        n  missing distinct 
+##      819        0      819 
+## 
+## lowest : Accurately and emotionally recreate a great moment from history using these two traffic cones.
+## Most accurate and emotional recreation wins.
+## You've got 30 minutes.
+## Your time starts now.                                                                                                                                                                Achieve a rally of exactly 24 shots.
+## You much each take the same amount of shots.
+## You must be stood at least 6’8” apart from one another.
+## The object stuck must neither touch the ground nor be held at any point during the rally.
+## There is a bonus point for the team which uses the most ambitious equipment.
+## Fastest wins.
+## Your time starts now. Achieve the greatest splat.
+## One teammate must be splatted for the splat to be valid.
+## You have 10 minutes to choose your splatting materials, and then 10 minutes to pull off your splat.
+## Your time starts now.                                                                                                                                          Achieve the most impressive effect with a single breath.
+## You must take your breath and achieve your effect within the next 20 minutes.                                                                                                                                                                                                                    Act out the nursery rhymes for the Taskmaster to guess.
+## Each team has three minutes to act out their nursery rhymes.
+## Most nursery rhymes guessed by the taskmaster wins.
+## You must remain silent and on your spots throughout.                                                                                                                          
+## highest: Write the name of a different animal on each face of your dice.
+## You have 100 seconds.                                                                                                                                                                                                                                                                     Write the name of a profession in this hole then open the task.
+## 
+## Perform an original lullaby for [your profession].
+## Most soporific profession-specific lullaby wins.
+## You have 30 minutes.
+## Your time starts now.                                                                                                                                       Write your name and draw a picture of a happy horse on your overhead projector acetate, upside-down.
+## You must not rotate or manipulate your acetate.
+## You have 100 seconds.
+## Most accurate picture and writing when your acetate is overhead projected wins.                                                                                              Write, illustrate and read out a bedtime story for grown-ups.
+## Your bedtime story for grown-ups may be no more or fewer than 50 words.
+## Most engrossing bedtime story for grown-ups wins.
+## You have one hour.
+## Your time starts now.                                                                                                                       You will each be given a category.
+## You each have 10 seconds to say things that fall into that category.
+## First, you must each predict how many correct answers you will give.
+## The person who has successfully predicted the highest number wins.                                                                                                        
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

task_readers

+

The task_readers table contains information on which contestant (reader) read a particular task, whether the task was a team task, and if the task was live or not.

+

Note, that a task can have multiple readers associated with it as it is common for multiple readers to be edited together in a show.

+
+ +See task_readers Sample! + +
data_sample_list[["task_readers"]]$data_sample
+
##      id task reader team live
+## 284 284  785    103    1    0
+## 101 101  315     40    1    0
+## 111 111  343     47    1    0
+## 133 133  388     50    0    1
+## 98   98  303     39    1    0
+## 103 103  316     39    0    1
+## 214 214  615     80    1    0
+## 90   90  286     38    0    1
+## 79   79  252     33    0    1
+## 270 270  755     98    1    1
+
+
+ +See task_readers Summary! + +
data_sample_list[["task_readers"]]$data_summary
+
## query_output 
+## 
+##  5  Variables      300  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      300        0      300        1    150.5    100.3    15.95    30.90    75.75   150.50   225.25   270.10   285.05 
+## 
+## lowest :   1   2   3   4   5, highest: 296 297 298 299 300
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      300        0      218        1    435.6    272.5    58.75    91.00   238.00   437.50   650.00   755.20   785.10 
+## 
+## lowest :   5  11  17  23  26, highest: 806 809 814 818 819
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## reader 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      300        0       86        1    55.08    36.19     4.00    12.00    33.75    51.00    82.00   101.10   104.05 
+## 
+## lowest :   1   3   4   5   6, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## team 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##      300        0        2    0.746      161   0.5367    0.499 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## live 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##      300        0        2    0.749      155   0.5167   0.5011 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

task_winners

+

The task_winners table naturally has all the information about the contestant(s) who won the task (winner), whether it was a team task, and if it was a live task or not.

+
+ +See task_winners Sample! + +
data_sample_list[["task_winners"]]$data_sample
+
##        id task winner team live
+## 1018 1018  805    106    0    0
+## 1004 1004  796    103    1    0
+## 623   623  511     64    0    0
+## 905   905  723     99    1    0
+## 645   645  527     66    0    0
+## 934   934  747     99    0    0
+## 400   400  335     47    0    0
+## 900   900  721    101    0    0
+## 98     98   86     13    1    0
+## 726   726  590     72    1    0
+
+
+ +See task_winners Summary! + +
data_sample_list[["task_winners"]]$data_summary
+
## query_output 
+## 
+##  5  Variables      1036  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     1036        0     1036        1    518.5    345.7    52.75   104.50   259.75   518.50   777.25   932.50   984.25 
+## 
+## lowest :    1    2    3    4    5, highest: 1032 1033 1034 1035 1036
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     1036        0      795        1    423.4    272.9    45.75    91.00   226.00   424.50   633.25   745.50   780.25 
+## 
+## lowest :   1   2   3   4   5, highest: 815 816 817 818 819
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## winner 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     1036        0       99        1     55.8     34.2       10       16       34       52       80      101      104 
+## 
+## lowest :   3   4   5   6   7, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## team 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##     1036        0        2    0.546      248   0.2394   0.3645 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## live 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##     1036        0        2     0.48      207   0.1998   0.3201 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

tasks

+

The tasks table has high level data about tasks that is mostly independent of the contestants and the outcome. This includes the series and episode that the task featured in, the main summary of the task. Categorisation of the task is also available such as whether it is a subjective or objective task, if it is TM UK original, if it was filmed or live.

+ +
+ +See tasks Sample! + +
data_sample_list[["tasks"]]$data_sample
+
##      id series episode                                                         summary                                                                                             tags           location points std  TMI               YT
+## 284 284      7      48                                Change your appearance in a lift                   ["solo","filmed","creative","physical","subjective","single-brief","original"]                 17     15   1  284 M0ZbPzHUiAo|1050
+## 101 101      4      18 Paint a portrait of the Taskmaster without touching the red mat ["solo","filmed","creative","mental","physical","subjective","single-brief","original","handly"]           doorstep     14   1  101  FM73_GZGDbA|832
+## 623 623     13     111                                        Answer Alex's phone call                      ["solo","filmed","mental","physical","objective","single-brief","original"]             lounge     15   1 1947 UOasWQl-Tww|1813
+## 645 645     13     115                      Poke a body part out of the shower curtain                    ["solo","filmed","creative","physical","objective","single-brief","original"] behind the caravan     14   1 2001 bPZ47tW4dOQ|1705
+## 400 400      9      69                                          The best defunct thing                               ["solo","prize","creative","subjective","single-brief","original"]              seats     15   1  401  G_0_mIgC-fw|164
+## 98   98      4      17                                       Make the most fruit juice                                 ["solo","live","physical","objective","single-brief","original"]              stage     15   1   98 DpV3rweizNA|2322
+## 103 103      4      18                Put an egg in an egg cup without touching either                      ["solo","filmed","mental","physical","objective","single-brief","original"]                lab     15   1  103 FM73_GZGDbA|1835
+## 726 726     15     131                                           The most heroic thing                               ["solo","prize","creative","subjective","single-brief","original"]              seats     15   1 2507  7-cPcNMEehU|168
+## 602 602     13     107                                                     Count to 13                                   ["solo","live","mental","objective","single-brief","original"]              stage     15   1 1871 Tv_q0RMaV6Y|2416
+## 326 326      8      55                                                Sneak up on Alex                      ["solo","filmed","physical","social","objective","single-brief","original"]                 18     16   1  327 39n5LJel7qk|1708
+
+
+ +See tasks Summary! + +
data_sample_list[["tasks"]]$data_summary
+
## query_output 
+## 
+##  10  Variables      819  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      819        0      819        1      410    273.3     41.9     82.8    205.5    410.0    614.5    737.2    778.1 
+## 
+## lowest :   1   2   3   4   5, highest: 815 816 817 818 819
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      819        0       21    0.996    8.549    5.522        1        2        5        9       13       15       16 
+## 
+## lowest : -5 -4 -3 -2 -1, highest: 12 13 14 15 16
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episode 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      819        0      148        1    72.18    49.65      7.0     14.8     34.5     71.0    110.0    133.0    141.0 
+## 
+## lowest :   1   2   3   4   5, highest: 144 145 146 147 148
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## summary 
+##        n  missing distinct 
+##      819        0      817 
+## 
+## lowest : A photo of an object that looks like you               Achieve an impressive effect with a single breath      Act out nursery rhymes                                 An upside-down condiment self-portrait                 Anchor balloons using bread                           , highest: Write and perform a 30-second jingle                   Write and perform a song about a stranger              Write and perform lyrics for the Taskmaster theme tune Write down things that fit the category                Zipwire items to the Taskmaster                       
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## tags 
+##        n  missing distinct 
+##      819        0      200 
+## 
+## lowest : ["solo","filmed","creative","combination","single-brief","original","novel-brief"]                             ["solo","filmed","creative","mental","physical","objective","single-brief","adapted"]                          ["solo","filmed","creative","mental","physical","objective","single-brief","original","bonus-points","handly"] ["solo","filmed","creative","mental","physical","objective","single-brief","original","bonus-points"]          ["solo","filmed","creative","mental","physical","objective","single-brief","original"]                        
+## highest: ["team","split","filmed","mental","physical","subjective","single-brief","original"]                           ["team","split","filmed","mental","social","objective","single-brief","original"]                              ["team","split","filmed","physical","social","objective","multiple-brief","original"]                          ["team","split","filmed","physical","social","objective","single-brief","adapted"]                             ["team","split","filmed","physical","social","objective","single-brief","original"]                           
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## location 
+##        n  missing distinct 
+##      819        0       65 
+## 
+## lowest : 1             10            11            12            13           , highest: shed entryway split special stage         studio        unknown      
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## points 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      782       37       28    0.913    14.65    3.681     5.05    10.00    14.00    15.00    16.00    18.00    20.00 
+## 
+## lowest :  0  1  2  3  4, highest: 23 24 25 30 50
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## std 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##      819        0        2    0.139      779   0.9512  0.09302 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## TMI 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      814        5      814        1      926    993.8    41.65    82.30   204.25   408.50  1908.75  2519.70  2725.35 
+## 
+## lowest :    1    2    3    4    5, highest: 2845 2846 2847 2848 2849
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## YT 
+##        n  missing distinct 
+##      819        0      819 
+## 
+## lowest : __fkje7NnP4|1210 __fkje7NnP4|162  __fkje7NnP4|1946 __fkje7NnP4|2478 __fkje7NnP4|408 , highest: ZWmqBUj680A|168  ZWmqBUj680A|1806 ZWmqBUj680A|2351 ZWmqBUj680A|430  ZWmqBUj680A|976 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

tasks_by_objective

+

The tasks_by_objective table provides a high level overview of the task and the objective (the measurement and desired direction to be deemed successful).

+
+ +See tasks_by_objective Sample! + +
data_sample_list[["tasks_by_objective"]]$data_sample
+
##      id task objective
+## 284 284  565        35
+## 336 336  662         1
+## 406 406  787       173
+## 101 101  188        54
+## 111 111  210        60
+## 393 393  768        48
+## 133 133  259        73
+## 400 400  779         2
+## 388 388  758       168
+## 98   98  184        51
+
+
+ +See tasks_by_objective Summary! + +
data_sample_list[["tasks_by_objective"]]$data_summary
+
## query_output 
+## 
+##  3  Variables      425  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      425        0      425        1      213      142     22.2     43.4    107.0    213.0    319.0    382.6    403.8 
+## 
+## lowest :   1   2   3   4   5, highest: 421 422 423 424 425
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      425        0      391        1      418    280.9     37.4     73.8    202.0    439.0    627.0    745.8    781.6 
+## 
+## lowest :   2   4   6   8   9, highest: 809 811 813 814 819
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## objective 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      425        0      179    0.968    48.86    57.95      2.0      2.0      2.0     32.0     91.0    138.6    159.8 
+## 
+## lowest :   1   2   3   4   5, highest: 175 176 177 178 179
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

team_tasks

+

The team_tasks table focuses just on team tasks, the teams involved (team), and whether that particular team won (win).

+
+ +See team_tasks Sample! + +
data_sample_list[["team_tasks"]]$data_sample
+
##      id task team win
+## 28   28  155   10   0
+## 80   80  403   18   1
+## 150 150  670   32   1
+## 101 101  481   21   1
+## 111 111  518   25   1
+## 137 137  615   29   1
+## 133 133  606   29   1
+## 166 166  729   34   0
+## 144 144  650   30   1
+## 132 132  590   28   0
+
+
+ +See team_tasks Summary! + +
data_sample_list[["team_tasks"]]$data_summary
+
## query_output 
+## 
+##  4  Variables      190  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      190        0      190        1     95.5    63.67    10.45    19.90    48.25    95.50   142.75   171.10   180.55 
+## 
+## lowest :   1   2   3   4   5, highest: 186 187 188 189 190
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      190        0       95        1    448.6    261.4     60.8    102.0    277.0    462.0    647.8    748.0    776.1 
+## 
+## lowest :  23  30  35  53  59, highest: 782 785 796 809 818
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## team 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      190        0       36    0.999    20.99     11.6        4        7       13       22       30       34       35 
+## 
+## lowest :  1  2  3  4  5, highest: 32 33 34 35 36
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## win 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##      190        0        2    0.746      102   0.5368   0.4999 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

teams

+

The teams table provides information on teams, regardless of the tasks themselves. The contestants who make up the team members, the size of the team, and whether the team is irregular or not, are also outlined.

+

An irregular team occurs on the rare occasion when the a team for a live task differs to the previous tasks (pre-recorded or live). This namely occurred in Series 9 when someone wanted to the see rage of Ed Gamble, and Series 10’s hippogate.

+
+ +See teams Sample! + +
data_sample_list[["teams"]]$data_sample
+
##    id series                      members size initials irregular
+## 28 28     12     Desiree, Guz and Morgana    3     DG+M         0
+## 16 16      8           Iain, Lou and Paul    3     IL+P         0
+## 22 22     10 Johnny, Katherine and Mawaan    3     JK+M         0
+## 9   9      5                Mark and Nish    2      M+N         0
+## 5   5      3                 Rob and Sara    2      R+S         0
+## 6   6      3            Al, Dave and Paul    3     AD+P         0
+## 35 35     16                Sue and Susan    2      S+S         0
+## 4   4      2       Doc, Joe and Katherine    3     DJ+K         0
+## 2   2      1      Josh, Roisin and Romesh    3     JR+R         0
+## 7   7      4                 Hugh and Mel    2      H+M         0
+
+
+ +See teams Summary! + +
data_sample_list[["teams"]]$data_summary
+
## query_output 
+## 
+##  6  Variables      36  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       36        0       36        1     18.5    12.33     2.75     4.50     9.75    18.50    27.25    32.50    34.25 
+## 
+## lowest :  1  2  3  4  5, highest: 32 33 34 35 36
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       36        0       16    0.996    8.611    5.149     1.75     2.50     5.00     9.00    12.00    14.50    15.25 
+##                                                                                                           
+## Value          1     2     3     4     5     6     7     8     9    10    11    12    13    14    15    16
+## Frequency      2     2     2     2     2     2     2     2     4     4     2     2     2     2     2     2
+## Proportion 0.056 0.056 0.056 0.056 0.056 0.056 0.056 0.056 0.111 0.111 0.056 0.056 0.056 0.056 0.056 0.056
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## members 
+##        n  missing distinct 
+##       36        0       36 
+## 
+## lowest : Aisling, Bob and Sally Al, Dave and Paul      Alan and Victoria      Alice and Russell      Ardal and Chris       , highest: Lee and Mike           Mark and Nish          Munya and Sarah        Rob and Sara           Sue and Susan         
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## size 
+##        n  missing distinct     Info     Mean      Gmd 
+##       36        0        2    0.751      2.5   0.5143 
+##                   
+## Value        2   3
+## Frequency   18  18
+## Proportion 0.5 0.5
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## initials 
+##        n  missing distinct 
+##       36        0       35 
+## 
+## lowest : A+C  A+R  A+V  AB+S AD+P, highest: L+M  M+N  M+S  R+S  S+S 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## irregular 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##       36        0        2    0.297        4   0.1111   0.2032 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

title_coiners

+

The title_coiners table archives all episode titles, who was responsible for the title (coiner, not limited to contestants and is sometimes blank as it could refer to a general vibe), and during which task the title was uttered in.

+
+ +See title_coiners Sample! + +
data_sample_list[["title_coiners"]]$data_sample
+
##      id episode coiner task
+## 28   28      28     24  163
+## 80   80      80     NA  462
+## 101 101     101     72  570
+## 111 111     111     78  624
+## 137 137     137     98  757
+## 133 133     133      2  738
+## 132 132     132    101  733
+## 98   98      98      2  555
+## 103 103     103     70  578
+## 90   90      90      2  514
+
+
+ +See title_coiners Summary! + +
data_sample_list[["title_coiners"]]$data_summary
+
## query_output 
+## 
+##  4  Variables      148  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0      148        1     74.5    49.67     8.35    15.70    37.75    74.50   111.25   133.30   140.65 
+## 
+## lowest :   1   2   3   4   5, highest: 144 145 146 147 148
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episode 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0      148        1     74.5    49.67     8.35    15.70    37.75    74.50   111.25   133.30   140.65 
+## 
+## lowest :   1   2   3   4   5, highest: 144 145 146 147 148
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## coiner 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      142        6       50    0.978    39.76    42.46      1.0      2.0      2.0     34.0     78.0     98.0    102.9 
+## 
+## lowest :   1   2   5   7   9, highest: 102 103 104 105 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0      148        1      423    272.9    48.05    88.80   224.00   431.00   625.25   739.80   777.90 
+## 
+## lowest :   2   9  16  20  31, highest: 797 803 807 812 818
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

title_stats

+

The title_stats table is an insights based table providing various on the statistics on the episode titles, namely the number of words and syllables in the title.

+
+ +See title_stats Sample! + +
data_sample_list[["title_stats"]]$data_sample
+
##      id series episode                     title words syllables
+## 28   28      5       4  Residue around the hoof.     4         7
+## 80   80     10       6             Hippopotamus.     1         5
+## 101 101     12       6       A chair in a sweet.     5         5
+## 111 111     13       5  Having a little chuckle.     4         7
+## 137 137     15       9    A show about pedantry.     4         7
+## 133 133     15       5             Old Honkfoot.     2         3
+## 132 132     15       4   How heavy is the water?     5         7
+## 98   98     12       3 The end of the franchise.     5         6
+## 103 103     12       8       A couple of Ethels.     4         6
+## 90   90     11       5            Slap and tong.     3         3
+
+
+ +See title_stats Summary! + +
data_sample_list[["title_stats"]]$data_summary
+
## query_output 
+## 
+##  6  Variables      148  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0      148        1     74.5    49.67     8.35    15.70    37.75    74.50   111.25   133.30   140.65 
+## 
+## lowest :   1   2   3   4   5, highest: 144 145 146 147 148
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0       21    0.996    8.764    5.553        1        2        5        9       13       15       16 
+## 
+## lowest : -5 -4 -3 -2 -1, highest: 12 13 14 15 16
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episode 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0       10    0.989    4.966    3.286        1        1        2        5        7        9       10 
+##                                                                       
+## Value          1     2     3     4     5     6     7     8     9    10
+## Frequency     21    17    16    16    16    14    13    13    11    11
+## Proportion 0.142 0.115 0.108 0.108 0.108 0.095 0.088 0.088 0.074 0.074
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## title 
+##        n  missing distinct 
+##      148        0      148 
+## 
+## lowest : 100% Bosco.              A chair in a sweet.      A coquettish fascinator. A couple of Ethels.      A cuddle.               , highest: Welcome to Rico Face.    What kind of pictures?   Wiley giraffe blower.    You've got no chutzpah.  You tuper super.        
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## words 
+##        n  missing distinct     Info     Mean      Gmd 
+##      148        0        7     0.95    3.338    1.443 
+##                                                     
+## Value          1     2     3     4     5     6     7
+## Frequency     13    26    42    37    26     3     1
+## Proportion 0.088 0.176 0.284 0.250 0.176 0.020 0.007
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## syllables 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0       10    0.968    5.081    2.032        2        3        4        5        6        7        8 
+##                                                                       
+## Value          1     2     3     4     5     6     7     8     9    11
+## Frequency      4     6    16    30    37    24    20     4     5     2
+## Proportion 0.027 0.041 0.108 0.203 0.250 0.162 0.135 0.027 0.034 0.014
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+
+
+
    +
  1. This is definitely the corporate side of me talking. If you’ve ever experienced with dealing with large scale systems with multiple moving parts, limited resources and knowing what hard bottlenecks in your work, you’ll know what I mean.↩︎

  2. +
  3. Honestly, I didn’t know that points had gone misplaced. I should return my card to the TM fan club…↩︎

  4. +
  5. I’m not a big fan of “1=”, etc. being used to denote a tied ranking. It ultimately means the field is no longer an integer and needs additional care to be treated correctly.↩︎

  6. +
  7. I’m very surprised that such a dataset exists, and someone has gone to the effort of dissecting each intro sequence to such a minutiae. Saying that, this is the TM fan base…↩︎

  8. +
+
diff --git a/content/posts/2024-07-31-data-dictionary/index_files/crosstalk/css/crosstalk.min.css b/content/posts/2024-07-31-data-dictionary/index_files/crosstalk/css/crosstalk.min.css new file mode 100644 index 0000000..6b45382 --- /dev/null +++ b/content/posts/2024-07-31-data-dictionary/index_files/crosstalk/css/crosstalk.min.css @@ -0,0 +1 @@ +.container-fluid.crosstalk-bscols{margin-left:-30px;margin-right:-30px;white-space:normal}body>.container-fluid.crosstalk-bscols{margin-left:auto;margin-right:auto}.crosstalk-input-checkboxgroup .crosstalk-options-group .crosstalk-options-column{display:inline-block;padding-right:12px;vertical-align:top}@media only screen and (max-width: 480px){.crosstalk-input-checkboxgroup .crosstalk-options-group .crosstalk-options-column{display:block;padding-right:inherit}}.crosstalk-input{margin-bottom:15px}.crosstalk-input .control-label{margin-bottom:0;vertical-align:middle}.crosstalk-input input[type="checkbox"]{margin:4px 0 0;margin-top:1px;line-height:normal}.crosstalk-input .checkbox{position:relative;display:block;margin-top:10px;margin-bottom:10px}.crosstalk-input .checkbox>label{padding-left:20px;margin-bottom:0;font-weight:400;cursor:pointer}.crosstalk-input .checkbox input[type="checkbox"],.crosstalk-input .checkbox-inline input[type="checkbox"]{position:absolute;margin-top:2px;margin-left:-20px}.crosstalk-input .checkbox+.checkbox{margin-top:-5px}.crosstalk-input .checkbox-inline{position:relative;display:inline-block;padding-left:20px;margin-bottom:0;font-weight:400;vertical-align:middle;cursor:pointer}.crosstalk-input .checkbox-inline+.checkbox-inline{margin-top:0;margin-left:10px} diff --git a/content/posts/2024-07-31-data-dictionary/index_files/crosstalk/js/crosstalk.js b/content/posts/2024-07-31-data-dictionary/index_files/crosstalk/js/crosstalk.js new file mode 100644 index 0000000..fd9eb53 --- /dev/null +++ b/content/posts/2024-07-31-data-dictionary/index_files/crosstalk/js/crosstalk.js @@ -0,0 +1,1474 @@ +(function(){function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require=="function"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error("Cannot find module '"+o+"'");throw f.code="MODULE_NOT_FOUND",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require=="function"&&require;for(var o=0;o b) { + return 1; + } +} + +/** + * @private + */ + +var FilterSet = function () { + function FilterSet() { + _classCallCheck(this, FilterSet); + + this.reset(); + } + + _createClass(FilterSet, [{ + key: "reset", + value: function reset() { + // Key: handle ID, Value: array of selected keys, or null + this._handles = {}; + // Key: key string, Value: count of handles that include it + this._keys = {}; + this._value = null; + this._activeHandles = 0; + } + }, { + key: "update", + value: function update(handleId, keys) { + if (keys !== null) { + keys = keys.slice(0); // clone before sorting + keys.sort(naturalComparator); + } + + var _diffSortedLists = (0, _util.diffSortedLists)(this._handles[handleId], keys), + added = _diffSortedLists.added, + removed = _diffSortedLists.removed; + + this._handles[handleId] = keys; + + for (var i = 0; i < added.length; i++) { + this._keys[added[i]] = (this._keys[added[i]] || 0) + 1; + } + for (var _i = 0; _i < removed.length; _i++) { + this._keys[removed[_i]]--; + } + + this._updateValue(keys); + } + + /** + * @param {string[]} keys Sorted array of strings that indicate + * a superset of possible keys. + * @private + */ + + }, { + key: "_updateValue", + value: function _updateValue() { + var keys = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : this._allKeys; + + var handleCount = Object.keys(this._handles).length; + if (handleCount === 0) { + this._value = null; + } else { + this._value = []; + for (var i = 0; i < keys.length; i++) { + var count = this._keys[keys[i]]; + if (count === handleCount) { + this._value.push(keys[i]); + } + } + } + } + }, { + key: "clear", + value: function clear(handleId) { + if (typeof this._handles[handleId] === "undefined") { + return; + } + + var keys = this._handles[handleId]; + if (!keys) { + keys = []; + } + + for (var i = 0; i < keys.length; i++) { + this._keys[keys[i]]--; + } + delete this._handles[handleId]; + + this._updateValue(); + } + }, { + key: "value", + get: function get() { + return this._value; + } + }, { + key: "_allKeys", + get: function get() { + var allKeys = Object.keys(this._keys); + allKeys.sort(naturalComparator); + return allKeys; + } + }]); + + return FilterSet; +}(); + +exports.default = FilterSet; + +},{"./util":11}],4:[function(require,module,exports){ +(function (global){ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); + +var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }(); + +var _typeof = typeof Symbol === "function" && typeof Symbol.iterator === "symbol" ? function (obj) { return typeof obj; } : function (obj) { return obj && typeof Symbol === "function" && obj.constructor === Symbol && obj !== Symbol.prototype ? "symbol" : typeof obj; }; + +exports.default = group; + +var _var2 = require("./var"); + +var _var3 = _interopRequireDefault(_var2); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } + +// Use a global so that multiple copies of crosstalk.js can be loaded and still +// have groups behave as singletons across all copies. +global.__crosstalk_groups = global.__crosstalk_groups || {}; +var groups = global.__crosstalk_groups; + +function group(groupName) { + if (groupName && typeof groupName === "string") { + if (!groups.hasOwnProperty(groupName)) { + groups[groupName] = new Group(groupName); + } + return groups[groupName]; + } else if ((typeof groupName === "undefined" ? "undefined" : _typeof(groupName)) === "object" && groupName._vars && groupName.var) { + // Appears to already be a group object + return groupName; + } else if (Array.isArray(groupName) && groupName.length == 1 && typeof groupName[0] === "string") { + return group(groupName[0]); + } else { + throw new Error("Invalid groupName argument"); + } +} + +var Group = function () { + function Group(name) { + _classCallCheck(this, Group); + + this.name = name; + this._vars = {}; + } + + _createClass(Group, [{ + key: "var", + value: function _var(name) { + if (!name || typeof name !== "string") { + throw new Error("Invalid var name"); + } + + if (!this._vars.hasOwnProperty(name)) this._vars[name] = new _var3.default(this, name); + return this._vars[name]; + } + }, { + key: "has", + value: function has(name) { + if (!name || typeof name !== "string") { + throw new Error("Invalid var name"); + } + + return this._vars.hasOwnProperty(name); + } + }]); + + return Group; +}(); + +}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) + +},{"./var":12}],5:[function(require,module,exports){ +(function (global){ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); + +var _group = require("./group"); + +var _group2 = _interopRequireDefault(_group); + +var _selection = require("./selection"); + +var _filter = require("./filter"); + +var _input = require("./input"); + +require("./input_selectize"); + +require("./input_checkboxgroup"); + +require("./input_slider"); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +var defaultGroup = (0, _group2.default)("default"); + +function var_(name) { + return defaultGroup.var(name); +} + +function has(name) { + return defaultGroup.has(name); +} + +if (global.Shiny) { + global.Shiny.addCustomMessageHandler("update-client-value", function (message) { + if (typeof message.group === "string") { + (0, _group2.default)(message.group).var(message.name).set(message.value); + } else { + var_(message.name).set(message.value); + } + }); +} + +var crosstalk = { + group: _group2.default, + var: var_, + has: has, + SelectionHandle: _selection.SelectionHandle, + FilterHandle: _filter.FilterHandle, + bind: _input.bind +}; + +/** + * @namespace crosstalk + */ +exports.default = crosstalk; + +global.crosstalk = crosstalk; + +}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) + +},{"./filter":2,"./group":4,"./input":6,"./input_checkboxgroup":7,"./input_selectize":8,"./input_slider":9,"./selection":10}],6:[function(require,module,exports){ +(function (global){ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.register = register; +exports.bind = bind; +var $ = global.jQuery; + +var bindings = {}; + +function register(reg) { + bindings[reg.className] = reg; + if (global.document && global.document.readyState !== "complete") { + $(function () { + bind(); + }); + } else if (global.document) { + setTimeout(bind, 100); + } +} + +function bind() { + Object.keys(bindings).forEach(function (className) { + var binding = bindings[className]; + $("." + binding.className).not(".crosstalk-input-bound").each(function (i, el) { + bindInstance(binding, el); + }); + }); +} + +// Escape jQuery identifier +function $escape(val) { + return val.replace(/([!"#$%&'()*+,./:;<=>?@[\\\]^`{|}~])/g, "\\$1"); +} + +function bindEl(el) { + var $el = $(el); + Object.keys(bindings).forEach(function (className) { + if ($el.hasClass(className) && !$el.hasClass("crosstalk-input-bound")) { + var binding = bindings[className]; + bindInstance(binding, el); + } + }); +} + +function bindInstance(binding, el) { + var jsonEl = $(el).find("script[type='application/json'][data-for='" + $escape(el.id) + "']"); + var data = JSON.parse(jsonEl[0].innerText); + + var instance = binding.factory(el, data); + $(el).data("crosstalk-instance", instance); + $(el).addClass("crosstalk-input-bound"); +} + +if (global.Shiny) { + var inputBinding = new global.Shiny.InputBinding(); + var _$ = global.jQuery; + _$.extend(inputBinding, { + find: function find(scope) { + return _$(scope).find(".crosstalk-input"); + }, + initialize: function initialize(el) { + if (!_$(el).hasClass("crosstalk-input-bound")) { + bindEl(el); + } + }, + getId: function getId(el) { + return el.id; + }, + getValue: function getValue(el) {}, + setValue: function setValue(el, value) {}, + receiveMessage: function receiveMessage(el, data) {}, + subscribe: function subscribe(el, callback) { + _$(el).data("crosstalk-instance").resume(); + }, + unsubscribe: function unsubscribe(el) { + _$(el).data("crosstalk-instance").suspend(); + } + }); + global.Shiny.inputBindings.register(inputBinding, "crosstalk.inputBinding"); +} + +}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) + +},{}],7:[function(require,module,exports){ +(function (global){ +"use strict"; + +var _input = require("./input"); + +var input = _interopRequireWildcard(_input); + +var _filter = require("./filter"); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +var $ = global.jQuery; + +input.register({ + className: "crosstalk-input-checkboxgroup", + + factory: function factory(el, data) { + /* + * map: {"groupA": ["keyA", "keyB", ...], ...} + * group: "ct-groupname" + */ + var ctHandle = new _filter.FilterHandle(data.group); + + var lastKnownKeys = void 0; + var $el = $(el); + $el.on("change", "input[type='checkbox']", function () { + var checked = $el.find("input[type='checkbox']:checked"); + if (checked.length === 0) { + lastKnownKeys = null; + ctHandle.clear(); + } else { + var keys = {}; + checked.each(function () { + data.map[this.value].forEach(function (key) { + keys[key] = true; + }); + }); + var keyArray = Object.keys(keys); + keyArray.sort(); + lastKnownKeys = keyArray; + ctHandle.set(keyArray); + } + }); + + return { + suspend: function suspend() { + ctHandle.clear(); + }, + resume: function resume() { + if (lastKnownKeys) ctHandle.set(lastKnownKeys); + } + }; + } +}); + +}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) + +},{"./filter":2,"./input":6}],8:[function(require,module,exports){ +(function (global){ +"use strict"; + +var _input = require("./input"); + +var input = _interopRequireWildcard(_input); + +var _util = require("./util"); + +var util = _interopRequireWildcard(_util); + +var _filter = require("./filter"); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +var $ = global.jQuery; + +input.register({ + className: "crosstalk-input-select", + + factory: function factory(el, data) { + /* + * items: {value: [...], label: [...]} + * map: {"groupA": ["keyA", "keyB", ...], ...} + * group: "ct-groupname" + */ + + var first = [{ value: "", label: "(All)" }]; + var items = util.dataframeToD3(data.items); + var opts = { + options: first.concat(items), + valueField: "value", + labelField: "label", + searchField: "label" + }; + + var select = $(el).find("select")[0]; + + var selectize = $(select).selectize(opts)[0].selectize; + + var ctHandle = new _filter.FilterHandle(data.group); + + var lastKnownKeys = void 0; + selectize.on("change", function () { + if (selectize.items.length === 0) { + lastKnownKeys = null; + ctHandle.clear(); + } else { + var keys = {}; + selectize.items.forEach(function (group) { + data.map[group].forEach(function (key) { + keys[key] = true; + }); + }); + var keyArray = Object.keys(keys); + keyArray.sort(); + lastKnownKeys = keyArray; + ctHandle.set(keyArray); + } + }); + + return { + suspend: function suspend() { + ctHandle.clear(); + }, + resume: function resume() { + if (lastKnownKeys) ctHandle.set(lastKnownKeys); + } + }; + } +}); + +}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) + +},{"./filter":2,"./input":6,"./util":11}],9:[function(require,module,exports){ +(function (global){ +"use strict"; + +var _slicedToArray = function () { function sliceIterator(arr, i) { var _arr = []; var _n = true; var _d = false; var _e = undefined; try { for (var _i = arr[Symbol.iterator](), _s; !(_n = (_s = _i.next()).done); _n = true) { _arr.push(_s.value); if (i && _arr.length === i) break; } } catch (err) { _d = true; _e = err; } finally { try { if (!_n && _i["return"]) _i["return"](); } finally { if (_d) throw _e; } } return _arr; } return function (arr, i) { if (Array.isArray(arr)) { return arr; } else if (Symbol.iterator in Object(arr)) { return sliceIterator(arr, i); } else { throw new TypeError("Invalid attempt to destructure non-iterable instance"); } }; }(); + +var _input = require("./input"); + +var input = _interopRequireWildcard(_input); + +var _filter = require("./filter"); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +var $ = global.jQuery; +var strftime = global.strftime; + +input.register({ + className: "crosstalk-input-slider", + + factory: function factory(el, data) { + /* + * map: {"groupA": ["keyA", "keyB", ...], ...} + * group: "ct-groupname" + */ + var ctHandle = new _filter.FilterHandle(data.group); + + var opts = {}; + var $el = $(el).find("input"); + var dataType = $el.data("data-type"); + var timeFormat = $el.data("time-format"); + var round = $el.data("round"); + var timeFormatter = void 0; + + // Set up formatting functions + if (dataType === "date") { + timeFormatter = strftime.utc(); + opts.prettify = function (num) { + return timeFormatter(timeFormat, new Date(num)); + }; + } else if (dataType === "datetime") { + var timezone = $el.data("timezone"); + if (timezone) timeFormatter = strftime.timezone(timezone);else timeFormatter = strftime; + + opts.prettify = function (num) { + return timeFormatter(timeFormat, new Date(num)); + }; + } else if (dataType === "number") { + if (typeof round !== "undefined") opts.prettify = function (num) { + var factor = Math.pow(10, round); + return Math.round(num * factor) / factor; + }; + } + + $el.ionRangeSlider(opts); + + function getValue() { + var result = $el.data("ionRangeSlider").result; + + // Function for converting numeric value from slider to appropriate type. + var convert = void 0; + var dataType = $el.data("data-type"); + if (dataType === "date") { + convert = function convert(val) { + return formatDateUTC(new Date(+val)); + }; + } else if (dataType === "datetime") { + convert = function convert(val) { + // Convert ms to s + return +val / 1000; + }; + } else { + convert = function convert(val) { + return +val; + }; + } + + if ($el.data("ionRangeSlider").options.type === "double") { + return [convert(result.from), convert(result.to)]; + } else { + return convert(result.from); + } + } + + var lastKnownKeys = null; + + $el.on("change.crosstalkSliderInput", function (event) { + if (!$el.data("updating") && !$el.data("animating")) { + var _getValue = getValue(), + _getValue2 = _slicedToArray(_getValue, 2), + from = _getValue2[0], + to = _getValue2[1]; + + var keys = []; + for (var i = 0; i < data.values.length; i++) { + var val = data.values[i]; + if (val >= from && val <= to) { + keys.push(data.keys[i]); + } + } + keys.sort(); + ctHandle.set(keys); + lastKnownKeys = keys; + } + }); + + // let $el = $(el); + // $el.on("change", "input[type="checkbox"]", function() { + // let checked = $el.find("input[type="checkbox"]:checked"); + // if (checked.length === 0) { + // ctHandle.clear(); + // } else { + // let keys = {}; + // checked.each(function() { + // data.map[this.value].forEach(function(key) { + // keys[key] = true; + // }); + // }); + // let keyArray = Object.keys(keys); + // keyArray.sort(); + // ctHandle.set(keyArray); + // } + // }); + + return { + suspend: function suspend() { + ctHandle.clear(); + }, + resume: function resume() { + if (lastKnownKeys) ctHandle.set(lastKnownKeys); + } + }; + } +}); + +// Convert a number to a string with leading zeros +function padZeros(n, digits) { + var str = n.toString(); + while (str.length < digits) { + str = "0" + str; + }return str; +} + +// Given a Date object, return a string in yyyy-mm-dd format, using the +// UTC date. This may be a day off from the date in the local time zone. +function formatDateUTC(date) { + if (date instanceof Date) { + return date.getUTCFullYear() + "-" + padZeros(date.getUTCMonth() + 1, 2) + "-" + padZeros(date.getUTCDate(), 2); + } else { + return null; + } +} + +}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) + +},{"./filter":2,"./input":6}],10:[function(require,module,exports){ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.SelectionHandle = undefined; + +var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }(); + +var _events = require("./events"); + +var _events2 = _interopRequireDefault(_events); + +var _group = require("./group"); + +var _group2 = _interopRequireDefault(_group); + +var _util = require("./util"); + +var util = _interopRequireWildcard(_util); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } + +/** + * Use this class to read and write (and listen for changes to) the selection + * for a Crosstalk group. This is intended to be used for linked brushing. + * + * If two (or more) `SelectionHandle` instances in the same webpage share the + * same group name, they will share the same state. Setting the selection using + * one `SelectionHandle` instance will result in the `value` property instantly + * changing across the others, and `"change"` event listeners on all instances + * (including the one that initiated the sending) will fire. + * + * @param {string} [group] - The name of the Crosstalk group, or if none, + * null or undefined (or any other falsy value). This can be changed later + * via the [SelectionHandle#setGroup](#setGroup) method. + * @param {Object} [extraInfo] - An object whose properties will be copied to + * the event object whenever an event is emitted. + */ +var SelectionHandle = exports.SelectionHandle = function () { + function SelectionHandle() { + var group = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : null; + var extraInfo = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : null; + + _classCallCheck(this, SelectionHandle); + + this._eventRelay = new _events2.default(); + this._emitter = new util.SubscriptionTracker(this._eventRelay); + + // Name of the group we're currently tracking, if any. Can change over time. + this._group = null; + // The Var we're currently tracking, if any. Can change over time. + this._var = null; + // The event handler subscription we currently have on var.on("change"). + this._varOnChangeSub = null; + + this._extraInfo = util.extend({ sender: this }, extraInfo); + + this.setGroup(group); + } + + /** + * Changes the Crosstalk group membership of this SelectionHandle. The group + * being switched away from (if any) will not have its selection value + * modified as a result of calling `setGroup`, even if this handle was the + * most recent handle to set the selection of the group. + * + * The group being switched to (if any) will also not have its selection value + * modified as a result of calling `setGroup`. If you want to set the + * selection value of the new group, call `set` explicitly. + * + * @param {string} group - The name of the Crosstalk group, or null (or + * undefined) to clear the group. + */ + + + _createClass(SelectionHandle, [{ + key: "setGroup", + value: function setGroup(group) { + var _this = this; + + // If group is unchanged, do nothing + if (this._group === group) return; + // Treat null, undefined, and other falsy values the same + if (!this._group && !group) return; + + if (this._var) { + this._var.off("change", this._varOnChangeSub); + this._var = null; + this._varOnChangeSub = null; + } + + this._group = group; + + if (group) { + this._var = (0, _group2.default)(group).var("selection"); + var sub = this._var.on("change", function (e) { + _this._eventRelay.trigger("change", e, _this); + }); + this._varOnChangeSub = sub; + } + } + + /** + * Retrieves the current selection for the group represented by this + * `SelectionHandle`. + * + * - If no selection is active, then this value will be falsy. + * - If a selection is active, but no data points are selected, then this + * value will be an empty array. + * - If a selection is active, and data points are selected, then the keys + * of the selected data points will be present in the array. + */ + + }, { + key: "_mergeExtraInfo", + + + /** + * Combines the given `extraInfo` (if any) with the handle's default + * `_extraInfo` (if any). + * @private + */ + value: function _mergeExtraInfo(extraInfo) { + // Important incidental effect: shallow clone is returned + return util.extend({}, this._extraInfo ? this._extraInfo : null, extraInfo ? extraInfo : null); + } + + /** + * Overwrites the current selection for the group, and raises the `"change"` + * event among all of the group's '`SelectionHandle` instances (including + * this one). + * + * @fires SelectionHandle#change + * @param {string[]} selectedKeys - Falsy, empty array, or array of keys (see + * {@link SelectionHandle#value}). + * @param {Object} [extraInfo] - Extra properties to be included on the event + * object that's passed to listeners (in addition to any options that were + * passed into the `SelectionHandle` constructor). + */ + + }, { + key: "set", + value: function set(selectedKeys, extraInfo) { + if (this._var) this._var.set(selectedKeys, this._mergeExtraInfo(extraInfo)); + } + + /** + * Overwrites the current selection for the group, and raises the `"change"` + * event among all of the group's '`SelectionHandle` instances (including + * this one). + * + * @fires SelectionHandle#change + * @param {Object} [extraInfo] - Extra properties to be included on the event + * object that's passed to listeners (in addition to any that were passed + * into the `SelectionHandle` constructor). + */ + + }, { + key: "clear", + value: function clear(extraInfo) { + if (this._var) this.set(void 0, this._mergeExtraInfo(extraInfo)); + } + + /** + * Subscribes to events on this `SelectionHandle`. + * + * @param {string} eventType - Indicates the type of events to listen to. + * Currently, only `"change"` is supported. + * @param {SelectionHandle~listener} listener - The callback function that + * will be invoked when the event occurs. + * @return {string} - A token to pass to {@link SelectionHandle#off} to cancel + * this subscription. + */ + + }, { + key: "on", + value: function on(eventType, listener) { + return this._emitter.on(eventType, listener); + } + + /** + * Cancels event subscriptions created by {@link SelectionHandle#on}. + * + * @param {string} eventType - The type of event to unsubscribe. + * @param {string|SelectionHandle~listener} listener - Either the callback + * function previously passed into {@link SelectionHandle#on}, or the + * string that was returned from {@link SelectionHandle#on}. + */ + + }, { + key: "off", + value: function off(eventType, listener) { + return this._emitter.off(eventType, listener); + } + + /** + * Shuts down the `SelectionHandle` object. + * + * Removes all event listeners that were added through this handle. + */ + + }, { + key: "close", + value: function close() { + this._emitter.removeAllListeners(); + this.setGroup(null); + } + }, { + key: "value", + get: function get() { + return this._var ? this._var.get() : null; + } + }]); + + return SelectionHandle; +}(); + +/** + * @callback SelectionHandle~listener + * @param {Object} event - An object containing details of the event. For + * `"change"` events, this includes the properties `value` (the new + * value of the selection, or `undefined` if no selection is active), + * `oldValue` (the previous value of the selection), and `sender` (the + * `SelectionHandle` instance that made the change). + */ + +/** + * @event SelectionHandle#change + * @type {object} + * @property {object} value - The new value of the selection, or `undefined` + * if no selection is active. + * @property {object} oldValue - The previous value of the selection. + * @property {SelectionHandle} sender - The `SelectionHandle` instance that + * changed the value. + */ + +},{"./events":1,"./group":4,"./util":11}],11:[function(require,module,exports){ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); + +var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }(); + +var _typeof = typeof Symbol === "function" && typeof Symbol.iterator === "symbol" ? function (obj) { return typeof obj; } : function (obj) { return obj && typeof Symbol === "function" && obj.constructor === Symbol && obj !== Symbol.prototype ? "symbol" : typeof obj; }; + +exports.extend = extend; +exports.checkSorted = checkSorted; +exports.diffSortedLists = diffSortedLists; +exports.dataframeToD3 = dataframeToD3; + +function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } + +function extend(target) { + for (var _len = arguments.length, sources = Array(_len > 1 ? _len - 1 : 0), _key = 1; _key < _len; _key++) { + sources[_key - 1] = arguments[_key]; + } + + for (var i = 0; i < sources.length; i++) { + var src = sources[i]; + if (typeof src === "undefined" || src === null) continue; + + for (var key in src) { + if (src.hasOwnProperty(key)) { + target[key] = src[key]; + } + } + } + return target; +} + +function checkSorted(list) { + for (var i = 1; i < list.length; i++) { + if (list[i] <= list[i - 1]) { + throw new Error("List is not sorted or contains duplicate"); + } + } +} + +function diffSortedLists(a, b) { + var i_a = 0; + var i_b = 0; + + if (!a) a = []; + if (!b) b = []; + + var a_only = []; + var b_only = []; + + checkSorted(a); + checkSorted(b); + + while (i_a < a.length && i_b < b.length) { + if (a[i_a] === b[i_b]) { + i_a++; + i_b++; + } else if (a[i_a] < b[i_b]) { + a_only.push(a[i_a++]); + } else { + b_only.push(b[i_b++]); + } + } + + if (i_a < a.length) a_only = a_only.concat(a.slice(i_a)); + if (i_b < b.length) b_only = b_only.concat(b.slice(i_b)); + return { + removed: a_only, + added: b_only + }; +} + +// Convert from wide: { colA: [1,2,3], colB: [4,5,6], ... } +// to long: [ {colA: 1, colB: 4}, {colA: 2, colB: 5}, ... ] +function dataframeToD3(df) { + var names = []; + var length = void 0; + for (var name in df) { + if (df.hasOwnProperty(name)) names.push(name); + if (_typeof(df[name]) !== "object" || typeof df[name].length === "undefined") { + throw new Error("All fields must be arrays"); + } else if (typeof length !== "undefined" && length !== df[name].length) { + throw new Error("All fields must be arrays of the same length"); + } + length = df[name].length; + } + var results = []; + var item = void 0; + for (var row = 0; row < length; row++) { + item = {}; + for (var col = 0; col < names.length; col++) { + item[names[col]] = df[names[col]][row]; + } + results.push(item); + } + return results; +} + +/** + * Keeps track of all event listener additions/removals and lets all active + * listeners be removed with a single operation. + * + * @private + */ + +var SubscriptionTracker = exports.SubscriptionTracker = function () { + function SubscriptionTracker(emitter) { + _classCallCheck(this, SubscriptionTracker); + + this._emitter = emitter; + this._subs = {}; + } + + _createClass(SubscriptionTracker, [{ + key: "on", + value: function on(eventType, listener) { + var sub = this._emitter.on(eventType, listener); + this._subs[sub] = eventType; + return sub; + } + }, { + key: "off", + value: function off(eventType, listener) { + var sub = this._emitter.off(eventType, listener); + if (sub) { + delete this._subs[sub]; + } + return sub; + } + }, { + key: "removeAllListeners", + value: function removeAllListeners() { + var _this = this; + + var current_subs = this._subs; + this._subs = {}; + Object.keys(current_subs).forEach(function (sub) { + _this._emitter.off(current_subs[sub], sub); + }); + } + }]); + + return SubscriptionTracker; +}(); + +},{}],12:[function(require,module,exports){ +(function (global){ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); + +var _typeof = typeof Symbol === "function" && typeof Symbol.iterator === "symbol" ? function (obj) { return typeof obj; } : function (obj) { return obj && typeof Symbol === "function" && obj.constructor === Symbol && obj !== Symbol.prototype ? "symbol" : typeof obj; }; + +var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }(); + +var _events = require("./events"); + +var _events2 = _interopRequireDefault(_events); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } + +var Var = function () { + function Var(group, name, /*optional*/value) { + _classCallCheck(this, Var); + + this._group = group; + this._name = name; + this._value = value; + this._events = new _events2.default(); + } + + _createClass(Var, [{ + key: "get", + value: function get() { + return this._value; + } + }, { + key: "set", + value: function set(value, /*optional*/event) { + if (this._value === value) { + // Do nothing; the value hasn't changed + return; + } + var oldValue = this._value; + this._value = value; + // Alert JavaScript listeners that the value has changed + var evt = {}; + if (event && (typeof event === "undefined" ? "undefined" : _typeof(event)) === "object") { + for (var k in event) { + if (event.hasOwnProperty(k)) evt[k] = event[k]; + } + } + evt.oldValue = oldValue; + evt.value = value; + this._events.trigger("change", evt, this); + + // TODO: Make this extensible, to let arbitrary back-ends know that + // something has changed + if (global.Shiny && global.Shiny.onInputChange) { + global.Shiny.onInputChange(".clientValue-" + (this._group.name !== null ? this._group.name + "-" : "") + this._name, typeof value === "undefined" ? null : value); + } + } + }, { + key: "on", + value: function on(eventType, listener) { + return this._events.on(eventType, listener); + } + }, { + key: "off", + value: function off(eventType, listener) { + return this._events.off(eventType, listener); + } + }]); + + return Var; +}(); + +exports.default = Var; + +}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) + +},{"./events":1}]},{},[5]) +//# sourceMappingURL=crosstalk.js.map diff --git a/content/posts/2024-07-31-data-dictionary/index_files/crosstalk/js/crosstalk.js.map b/content/posts/2024-07-31-data-dictionary/index_files/crosstalk/js/crosstalk.js.map new file mode 100644 index 0000000..cff94f0 --- /dev/null +++ b/content/posts/2024-07-31-data-dictionary/index_files/crosstalk/js/crosstalk.js.map @@ -0,0 +1,37 @@ +{ + "version": 3, + "sources": [ + "node_modules/browser-pack/_prelude.js", + "javascript/src/events.js", + "javascript/src/filter.js", + "javascript/src/filterset.js", + "javascript/src/group.js", + "javascript/src/index.js", + "javascript/src/input.js", + "javascript/src/input_checkboxgroup.js", + "javascript/src/input_selectize.js", + "javascript/src/input_slider.js", + "javascript/src/selection.js", + "javascript/src/util.js", + "javascript/src/var.js" + ], + "names": [], + "mappings": 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+ "file": "generated.js", + "sourceRoot": "", + "sourcesContent": [ + "(function(){function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require==\"function\"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error(\"Cannot find module '\"+o+\"'\");throw f.code=\"MODULE_NOT_FOUND\",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require==\"function\"&&require;for(var o=0;o {\n this._eventRelay.trigger(\"change\", e, this);\n });\n this._varOnChangeSub = sub;\n }\n }\n\n /**\n * Combine the given `extraInfo` (if any) with the handle's default\n * `_extraInfo` (if any).\n * @private\n */\n _mergeExtraInfo(extraInfo) {\n return util.extend({},\n this._extraInfo ? this._extraInfo : null,\n extraInfo ? extraInfo : null);\n }\n\n /**\n * Close the handle. This clears this handle's contribution to the filter set,\n * and unsubscribes all event listeners.\n */\n close() {\n this._emitter.removeAllListeners();\n this.clear();\n this.setGroup(null);\n }\n\n /**\n * Clear this handle's contribution to the filter set.\n *\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any options that were\n * passed into the `FilterHandle` constructor).\n * \n * @fires FilterHandle#change\n */\n clear(extraInfo) {\n if (!this._filterSet)\n return;\n this._filterSet.clear(this._id);\n this._onChange(extraInfo);\n }\n\n /**\n * Set this handle's contribution to the filter set. This array should consist\n * of the keys of the rows that _should_ be displayed; any keys that are not\n * present in the array will be considered _filtered out_. Note that multiple\n * `FilterHandle` instances in the group may each contribute an array of keys,\n * and only those keys that appear in _all_ of the arrays make it through the\n * filter.\n *\n * @param {string[]} keys - Empty array, or array of keys. To clear the\n * filter, don't pass an empty array; instead, use the\n * {@link FilterHandle#clear} method.\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any options that were\n * passed into the `FilterHandle` constructor).\n * \n * @fires FilterHandle#change\n */\n set(keys, extraInfo) {\n if (!this._filterSet)\n return;\n this._filterSet.update(this._id, keys);\n this._onChange(extraInfo);\n }\n\n /**\n * @return {string[]|null} - Either: 1) an array of keys that made it through\n * all of the `FilterHandle` instances, or, 2) `null`, which means no filter\n * is being applied (all data should be displayed).\n */\n get filteredKeys() {\n return this._filterSet ? this._filterSet.value : null;\n }\n\n /**\n * Subscribe to events on this `FilterHandle`.\n *\n * @param {string} eventType - Indicates the type of events to listen to.\n * Currently, only `\"change\"` is supported.\n * @param {FilterHandle~listener} listener - The callback function that\n * will be invoked when the event occurs.\n * @return {string} - A token to pass to {@link FilterHandle#off} to cancel\n * this subscription.\n */\n on(eventType, listener) {\n return this._emitter.on(eventType, listener);\n }\n\n /**\n * Cancel event subscriptions created by {@link FilterHandle#on}.\n *\n * @param {string} eventType - The type of event to unsubscribe.\n * @param {string|FilterHandle~listener} listener - Either the callback\n * function previously passed into {@link FilterHandle#on}, or the\n * string that was returned from {@link FilterHandle#on}.\n */\n off(eventType, listener) {\n return this._emitter.off(eventType, listener);\n }\n\n _onChange(extraInfo) {\n if (!this._filterSet)\n return;\n this._filterVar.set(this._filterSet.value, this._mergeExtraInfo(extraInfo));\n }\n\n /**\n * @callback FilterHandle~listener\n * @param {Object} event - An object containing details of the event. For\n * `\"change\"` events, this includes the properties `value` (the new\n * value of the filter set, or `null` if no filter set is active),\n * `oldValue` (the previous value of the filter set), and `sender` (the\n * `FilterHandle` instance that made the change).\n */\n\n}\n\n/**\n * @event FilterHandle#change\n * @type {object}\n * @property {object} value - The new value of the filter set, or `null`\n * if no filter set is active.\n * @property {object} oldValue - The previous value of the filter set.\n * @property {FilterHandle} sender - The `FilterHandle` instance that\n * changed the value.\n */\n", + "import { diffSortedLists } from \"./util\";\n\nfunction naturalComparator(a, b) {\n if (a === b) {\n return 0;\n } else if (a < b) {\n return -1;\n } else if (a > b) {\n return 1;\n }\n}\n\n/**\n * @private\n */\nexport default class FilterSet {\n constructor() {\n this.reset();\n }\n\n reset() {\n // Key: handle ID, Value: array of selected keys, or null\n this._handles = {};\n // Key: key string, Value: count of handles that include it\n this._keys = {};\n this._value = null;\n this._activeHandles = 0;\n }\n\n get value() {\n return this._value;\n }\n\n update(handleId, keys) {\n if (keys !== null) {\n keys = keys.slice(0); // clone before sorting\n keys.sort(naturalComparator);\n }\n\n let {added, removed} = diffSortedLists(this._handles[handleId], keys);\n this._handles[handleId] = keys;\n\n for (let i = 0; i < added.length; i++) {\n this._keys[added[i]] = (this._keys[added[i]] || 0) + 1;\n }\n for (let i = 0; i < removed.length; i++) {\n this._keys[removed[i]]--;\n }\n\n this._updateValue(keys);\n }\n\n /**\n * @param {string[]} keys Sorted array of strings that indicate\n * a superset of possible keys.\n * @private\n */\n _updateValue(keys = this._allKeys) {\n let handleCount = Object.keys(this._handles).length;\n if (handleCount === 0) {\n this._value = null;\n } else {\n this._value = [];\n for (let i = 0; i < keys.length; i++) {\n let count = this._keys[keys[i]];\n if (count === handleCount) {\n this._value.push(keys[i]);\n }\n }\n }\n }\n\n clear(handleId) {\n if (typeof(this._handles[handleId]) === \"undefined\") {\n return;\n }\n\n let keys = this._handles[handleId];\n if (!keys) {\n keys = [];\n }\n\n for (let i = 0; i < keys.length; i++) {\n this._keys[keys[i]]--;\n }\n delete this._handles[handleId];\n\n this._updateValue();\n }\n\n get _allKeys() {\n let allKeys = Object.keys(this._keys);\n allKeys.sort(naturalComparator);\n return allKeys;\n }\n}\n", + "import Var from \"./var\";\n\n// Use a global so that multiple copies of crosstalk.js can be loaded and still\n// have groups behave as singletons across all copies.\nglobal.__crosstalk_groups = global.__crosstalk_groups || {};\nlet groups = global.__crosstalk_groups;\n\nexport default function group(groupName) {\n if (groupName && typeof(groupName) === \"string\") {\n if (!groups.hasOwnProperty(groupName)) {\n groups[groupName] = new Group(groupName);\n }\n return groups[groupName];\n } else if (typeof(groupName) === \"object\" && groupName._vars && groupName.var) {\n // Appears to already be a group object\n return groupName;\n } else if (Array.isArray(groupName) &&\n groupName.length == 1 &&\n typeof(groupName[0]) === \"string\") {\n return group(groupName[0]);\n } else {\n throw new Error(\"Invalid groupName argument\");\n }\n}\n\nclass Group {\n constructor(name) {\n this.name = name;\n this._vars = {};\n }\n\n var(name) {\n if (!name || typeof(name) !== \"string\") {\n throw new Error(\"Invalid var name\");\n }\n\n if (!this._vars.hasOwnProperty(name))\n this._vars[name] = new Var(this, name);\n return this._vars[name];\n }\n\n has(name) {\n if (!name || typeof(name) !== \"string\") {\n throw new Error(\"Invalid var name\");\n }\n\n return this._vars.hasOwnProperty(name);\n }\n}\n", + "import group from \"./group\";\nimport { SelectionHandle } from \"./selection\";\nimport { FilterHandle } from \"./filter\";\nimport { bind } from \"./input\";\nimport \"./input_selectize\";\nimport \"./input_checkboxgroup\";\nimport \"./input_slider\";\n\nconst defaultGroup = group(\"default\");\n\nfunction var_(name) {\n return defaultGroup.var(name);\n}\n\nfunction has(name) {\n return defaultGroup.has(name);\n}\n\nif (global.Shiny) {\n global.Shiny.addCustomMessageHandler(\"update-client-value\", function(message) {\n if (typeof(message.group) === \"string\") {\n group(message.group).var(message.name).set(message.value);\n } else {\n var_(message.name).set(message.value);\n }\n });\n}\n\nconst crosstalk = {\n group: group,\n var: var_,\n has: has,\n SelectionHandle: SelectionHandle,\n FilterHandle: FilterHandle,\n bind: bind\n};\n\n/**\n * @namespace crosstalk\n */\nexport default crosstalk;\nglobal.crosstalk = crosstalk;\n", + "let $ = global.jQuery;\n\nlet bindings = {};\n\nexport function register(reg) {\n bindings[reg.className] = reg;\n if (global.document && global.document.readyState !== \"complete\") {\n $(() => {\n bind();\n });\n } else if (global.document) {\n setTimeout(bind, 100);\n }\n}\n\nexport function bind() {\n Object.keys(bindings).forEach(function(className) {\n let binding = bindings[className];\n $(\".\" + binding.className).not(\".crosstalk-input-bound\").each(function(i, el) {\n bindInstance(binding, el);\n });\n });\n}\n\n// Escape jQuery identifier\nfunction $escape(val) {\n return val.replace(/([!\"#$%&'()*+,./:;<=>?@[\\\\\\]^`{|}~])/g, \"\\\\$1\");\n}\n\nfunction bindEl(el) {\n let $el = $(el);\n Object.keys(bindings).forEach(function(className) {\n if ($el.hasClass(className) && !$el.hasClass(\"crosstalk-input-bound\")) {\n let binding = bindings[className];\n bindInstance(binding, el);\n }\n });\n}\n\nfunction bindInstance(binding, el) {\n let jsonEl = $(el).find(\"script[type='application/json'][data-for='\" + $escape(el.id) + \"']\");\n let data = JSON.parse(jsonEl[0].innerText);\n\n let instance = binding.factory(el, data);\n $(el).data(\"crosstalk-instance\", instance);\n $(el).addClass(\"crosstalk-input-bound\");\n}\n\nif (global.Shiny) {\n let inputBinding = new global.Shiny.InputBinding();\n let $ = global.jQuery;\n $.extend(inputBinding, {\n find: function(scope) {\n return $(scope).find(\".crosstalk-input\");\n },\n initialize: function(el) {\n if (!$(el).hasClass(\"crosstalk-input-bound\")) {\n bindEl(el);\n }\n },\n getId: function(el) {\n return el.id;\n },\n getValue: function(el) {\n\n },\n setValue: function(el, value) {\n\n },\n receiveMessage: function(el, data) {\n\n },\n subscribe: function(el, callback) {\n $(el).data(\"crosstalk-instance\").resume();\n },\n unsubscribe: function(el) {\n $(el).data(\"crosstalk-instance\").suspend();\n }\n });\n global.Shiny.inputBindings.register(inputBinding, \"crosstalk.inputBinding\");\n}\n", + "import * as input from \"./input\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\n\ninput.register({\n className: \"crosstalk-input-checkboxgroup\",\n\n factory: function(el, data) {\n /*\n * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n * group: \"ct-groupname\"\n */\n let ctHandle = new FilterHandle(data.group);\n\n let lastKnownKeys;\n let $el = $(el);\n $el.on(\"change\", \"input[type='checkbox']\", function() {\n let checked = $el.find(\"input[type='checkbox']:checked\");\n if (checked.length === 0) {\n lastKnownKeys = null;\n ctHandle.clear();\n } else {\n let keys = {};\n checked.each(function() {\n data.map[this.value].forEach(function(key) {\n keys[key] = true;\n });\n });\n let keyArray = Object.keys(keys);\n keyArray.sort();\n lastKnownKeys = keyArray;\n ctHandle.set(keyArray);\n }\n });\n\n return {\n suspend: function() {\n ctHandle.clear();\n },\n resume: function() {\n if (lastKnownKeys)\n ctHandle.set(lastKnownKeys);\n }\n };\n }\n});\n", + "import * as input from \"./input\";\nimport * as util from \"./util\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\n\ninput.register({\n className: \"crosstalk-input-select\",\n\n factory: function(el, data) {\n /*\n * items: {value: [...], label: [...]}\n * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n * group: \"ct-groupname\"\n */\n\n let first = [{value: \"\", label: \"(All)\"}];\n let items = util.dataframeToD3(data.items);\n let opts = {\n options: first.concat(items),\n valueField: \"value\",\n labelField: \"label\",\n searchField: \"label\"\n };\n\n let select = $(el).find(\"select\")[0];\n\n let selectize = $(select).selectize(opts)[0].selectize;\n\n let ctHandle = new FilterHandle(data.group);\n\n let lastKnownKeys;\n selectize.on(\"change\", function() {\n if (selectize.items.length === 0) {\n lastKnownKeys = null;\n ctHandle.clear();\n } else {\n let keys = {};\n selectize.items.forEach(function(group) {\n data.map[group].forEach(function(key) {\n keys[key] = true;\n });\n });\n let keyArray = Object.keys(keys);\n keyArray.sort();\n lastKnownKeys = keyArray;\n ctHandle.set(keyArray);\n }\n });\n\n return {\n suspend: function() {\n ctHandle.clear();\n },\n resume: function() {\n if (lastKnownKeys)\n ctHandle.set(lastKnownKeys);\n }\n };\n }\n});\n", + "import * as input from \"./input\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\nlet strftime = global.strftime;\n\ninput.register({\n className: \"crosstalk-input-slider\",\n\n factory: function(el, data) {\n /*\n * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n * group: \"ct-groupname\"\n */\n let ctHandle = new FilterHandle(data.group);\n\n let opts = {};\n let $el = $(el).find(\"input\");\n let dataType = $el.data(\"data-type\");\n let timeFormat = $el.data(\"time-format\");\n let round = $el.data(\"round\");\n let timeFormatter;\n\n // Set up formatting functions\n if (dataType === \"date\") {\n timeFormatter = strftime.utc();\n opts.prettify = function(num) {\n return timeFormatter(timeFormat, new Date(num));\n };\n\n } else if (dataType === \"datetime\") {\n let timezone = $el.data(\"timezone\");\n if (timezone)\n timeFormatter = strftime.timezone(timezone);\n else\n timeFormatter = strftime;\n\n opts.prettify = function(num) {\n return timeFormatter(timeFormat, new Date(num));\n };\n } else if (dataType === \"number\") {\n if (typeof round !== \"undefined\")\n opts.prettify = function(num) {\n let factor = Math.pow(10, round);\n return Math.round(num * factor) / factor;\n };\n }\n\n $el.ionRangeSlider(opts);\n\n function getValue() {\n let result = $el.data(\"ionRangeSlider\").result;\n\n // Function for converting numeric value from slider to appropriate type.\n let convert;\n let dataType = $el.data(\"data-type\");\n if (dataType === \"date\") {\n convert = function(val) {\n return formatDateUTC(new Date(+val));\n };\n } else if (dataType === \"datetime\") {\n convert = function(val) {\n // Convert ms to s\n return +val / 1000;\n };\n } else {\n convert = function(val) { return +val; };\n }\n\n if ($el.data(\"ionRangeSlider\").options.type === \"double\") {\n return [convert(result.from), convert(result.to)];\n } else {\n return convert(result.from);\n }\n }\n\n let lastKnownKeys = null;\n\n $el.on(\"change.crosstalkSliderInput\", function(event) {\n if (!$el.data(\"updating\") && !$el.data(\"animating\")) {\n let [from, to] = getValue();\n let keys = [];\n for (let i = 0; i < data.values.length; i++) {\n let val = data.values[i];\n if (val >= from && val <= to) {\n keys.push(data.keys[i]);\n }\n }\n keys.sort();\n ctHandle.set(keys);\n lastKnownKeys = keys;\n }\n });\n\n\n // let $el = $(el);\n // $el.on(\"change\", \"input[type=\"checkbox\"]\", function() {\n // let checked = $el.find(\"input[type=\"checkbox\"]:checked\");\n // if (checked.length === 0) {\n // ctHandle.clear();\n // } else {\n // let keys = {};\n // checked.each(function() {\n // data.map[this.value].forEach(function(key) {\n // keys[key] = true;\n // });\n // });\n // let keyArray = Object.keys(keys);\n // keyArray.sort();\n // ctHandle.set(keyArray);\n // }\n // });\n\n return {\n suspend: function() {\n ctHandle.clear();\n },\n resume: function() {\n if (lastKnownKeys)\n ctHandle.set(lastKnownKeys);\n }\n };\n }\n});\n\n\n// Convert a number to a string with leading zeros\nfunction padZeros(n, digits) {\n let str = n.toString();\n while (str.length < digits)\n str = \"0\" + str;\n return str;\n}\n\n// Given a Date object, return a string in yyyy-mm-dd format, using the\n// UTC date. This may be a day off from the date in the local time zone.\nfunction formatDateUTC(date) {\n if (date instanceof Date) {\n return date.getUTCFullYear() + \"-\" +\n padZeros(date.getUTCMonth()+1, 2) + \"-\" +\n padZeros(date.getUTCDate(), 2);\n\n } else {\n return null;\n }\n}\n", + "import Events from \"./events\";\nimport grp from \"./group\";\nimport * as util from \"./util\";\n\n/**\n * Use this class to read and write (and listen for changes to) the selection\n * for a Crosstalk group. This is intended to be used for linked brushing.\n *\n * If two (or more) `SelectionHandle` instances in the same webpage share the\n * same group name, they will share the same state. Setting the selection using\n * one `SelectionHandle` instance will result in the `value` property instantly\n * changing across the others, and `\"change\"` event listeners on all instances\n * (including the one that initiated the sending) will fire.\n *\n * @param {string} [group] - The name of the Crosstalk group, or if none,\n * null or undefined (or any other falsy value). This can be changed later\n * via the [SelectionHandle#setGroup](#setGroup) method.\n * @param {Object} [extraInfo] - An object whose properties will be copied to\n * the event object whenever an event is emitted.\n */\nexport class SelectionHandle {\n\n constructor(group = null, extraInfo = null) {\n this._eventRelay = new Events();\n this._emitter = new util.SubscriptionTracker(this._eventRelay);\n\n // Name of the group we're currently tracking, if any. Can change over time.\n this._group = null;\n // The Var we're currently tracking, if any. Can change over time.\n this._var = null;\n // The event handler subscription we currently have on var.on(\"change\").\n this._varOnChangeSub = null;\n\n this._extraInfo = util.extend({ sender: this }, extraInfo);\n\n this.setGroup(group);\n }\n\n /**\n * Changes the Crosstalk group membership of this SelectionHandle. The group\n * being switched away from (if any) will not have its selection value\n * modified as a result of calling `setGroup`, even if this handle was the\n * most recent handle to set the selection of the group.\n *\n * The group being switched to (if any) will also not have its selection value\n * modified as a result of calling `setGroup`. If you want to set the\n * selection value of the new group, call `set` explicitly.\n *\n * @param {string} group - The name of the Crosstalk group, or null (or\n * undefined) to clear the group.\n */\n setGroup(group) {\n // If group is unchanged, do nothing\n if (this._group === group)\n return;\n // Treat null, undefined, and other falsy values the same\n if (!this._group && !group)\n return;\n\n if (this._var) {\n this._var.off(\"change\", this._varOnChangeSub);\n this._var = null;\n this._varOnChangeSub = null;\n }\n\n this._group = group;\n\n if (group) {\n this._var = grp(group).var(\"selection\");\n let sub = this._var.on(\"change\", (e) => {\n this._eventRelay.trigger(\"change\", e, this);\n });\n this._varOnChangeSub = sub;\n }\n }\n\n /**\n * Retrieves the current selection for the group represented by this\n * `SelectionHandle`.\n *\n * - If no selection is active, then this value will be falsy.\n * - If a selection is active, but no data points are selected, then this\n * value will be an empty array.\n * - If a selection is active, and data points are selected, then the keys\n * of the selected data points will be present in the array.\n */\n get value() {\n return this._var ? this._var.get() : null;\n }\n\n /**\n * Combines the given `extraInfo` (if any) with the handle's default\n * `_extraInfo` (if any).\n * @private\n */\n _mergeExtraInfo(extraInfo) {\n // Important incidental effect: shallow clone is returned\n return util.extend({},\n this._extraInfo ? this._extraInfo : null,\n extraInfo ? extraInfo : null);\n }\n\n /**\n * Overwrites the current selection for the group, and raises the `\"change\"`\n * event among all of the group's '`SelectionHandle` instances (including\n * this one).\n *\n * @fires SelectionHandle#change\n * @param {string[]} selectedKeys - Falsy, empty array, or array of keys (see\n * {@link SelectionHandle#value}).\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any options that were\n * passed into the `SelectionHandle` constructor).\n */\n set(selectedKeys, extraInfo) {\n if (this._var)\n this._var.set(selectedKeys, this._mergeExtraInfo(extraInfo));\n }\n\n /**\n * Overwrites the current selection for the group, and raises the `\"change\"`\n * event among all of the group's '`SelectionHandle` instances (including\n * this one).\n *\n * @fires SelectionHandle#change\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any that were passed\n * into the `SelectionHandle` constructor).\n */\n clear(extraInfo) {\n if (this._var)\n this.set(void 0, this._mergeExtraInfo(extraInfo));\n }\n\n /**\n * Subscribes to events on this `SelectionHandle`.\n *\n * @param {string} eventType - Indicates the type of events to listen to.\n * Currently, only `\"change\"` is supported.\n * @param {SelectionHandle~listener} listener - The callback function that\n * will be invoked when the event occurs.\n * @return {string} - A token to pass to {@link SelectionHandle#off} to cancel\n * this subscription.\n */\n on(eventType, listener) {\n return this._emitter.on(eventType, listener);\n }\n\n /**\n * Cancels event subscriptions created by {@link SelectionHandle#on}.\n *\n * @param {string} eventType - The type of event to unsubscribe.\n * @param {string|SelectionHandle~listener} listener - Either the callback\n * function previously passed into {@link SelectionHandle#on}, or the\n * string that was returned from {@link SelectionHandle#on}.\n */\n off(eventType, listener) {\n return this._emitter.off(eventType, listener);\n }\n\n /**\n * Shuts down the `SelectionHandle` object.\n *\n * Removes all event listeners that were added through this handle.\n */\n close() {\n this._emitter.removeAllListeners();\n this.setGroup(null);\n }\n}\n\n/**\n * @callback SelectionHandle~listener\n * @param {Object} event - An object containing details of the event. For\n * `\"change\"` events, this includes the properties `value` (the new\n * value of the selection, or `undefined` if no selection is active),\n * `oldValue` (the previous value of the selection), and `sender` (the\n * `SelectionHandle` instance that made the change).\n */\n\n/**\n * @event SelectionHandle#change\n * @type {object}\n * @property {object} value - The new value of the selection, or `undefined`\n * if no selection is active.\n * @property {object} oldValue - The previous value of the selection.\n * @property {SelectionHandle} sender - The `SelectionHandle` instance that\n * changed the value.\n */\n", + "export function extend(target, ...sources) {\n for (let i = 0; i < sources.length; i++) {\n let src = sources[i];\n if (typeof(src) === \"undefined\" || src === null)\n continue;\n\n for (let key in src) {\n if (src.hasOwnProperty(key)) {\n target[key] = src[key];\n }\n }\n }\n return target;\n}\n\nexport function checkSorted(list) {\n for (let i = 1; i < list.length; i++) {\n if (list[i] <= list[i-1]) {\n throw new Error(\"List is not sorted or contains duplicate\");\n }\n }\n}\n\nexport function diffSortedLists(a, b) {\n let i_a = 0;\n let i_b = 0;\n\n if (!a) a = [];\n if (!b) b = [];\n\n let a_only = [];\n let b_only = [];\n\n checkSorted(a);\n checkSorted(b);\n\n while (i_a < a.length && i_b < b.length) {\n if (a[i_a] === b[i_b]) {\n i_a++;\n i_b++;\n } else if (a[i_a] < b[i_b]) {\n a_only.push(a[i_a++]);\n } else {\n b_only.push(b[i_b++]);\n }\n }\n\n if (i_a < a.length)\n a_only = a_only.concat(a.slice(i_a));\n if (i_b < b.length)\n b_only = b_only.concat(b.slice(i_b));\n return {\n removed: a_only,\n added: b_only\n };\n}\n\n// Convert from wide: { colA: [1,2,3], colB: [4,5,6], ... }\n// to long: [ {colA: 1, colB: 4}, {colA: 2, colB: 5}, ... ]\nexport function dataframeToD3(df) {\n let names = [];\n let length;\n for (let name in df) {\n if (df.hasOwnProperty(name))\n names.push(name);\n if (typeof(df[name]) !== \"object\" || typeof(df[name].length) === \"undefined\") {\n throw new Error(\"All fields must be arrays\");\n } else if (typeof(length) !== \"undefined\" && length !== df[name].length) {\n throw new Error(\"All fields must be arrays of the same length\");\n }\n length = df[name].length;\n }\n let results = [];\n let item;\n for (let row = 0; row < length; row++) {\n item = {};\n for (let col = 0; col < names.length; col++) {\n item[names[col]] = df[names[col]][row];\n }\n results.push(item);\n }\n return results;\n}\n\n/**\n * Keeps track of all event listener additions/removals and lets all active\n * listeners be removed with a single operation.\n *\n * @private\n */\nexport class SubscriptionTracker {\n constructor(emitter) {\n this._emitter = emitter;\n this._subs = {};\n }\n\n on(eventType, listener) {\n let sub = this._emitter.on(eventType, listener);\n this._subs[sub] = eventType;\n return sub;\n }\n\n off(eventType, listener) {\n let sub = this._emitter.off(eventType, listener);\n if (sub) {\n delete this._subs[sub];\n }\n return sub;\n }\n\n removeAllListeners() {\n let current_subs = this._subs;\n this._subs = {};\n Object.keys(current_subs).forEach((sub) => {\n this._emitter.off(current_subs[sub], sub);\n });\n }\n}\n", + "import Events from \"./events\";\n\nexport default class Var {\n constructor(group, name, /*optional*/ value) {\n this._group = group;\n this._name = name;\n this._value = value;\n this._events = new Events();\n }\n\n get() {\n return this._value;\n }\n\n set(value, /*optional*/ event) {\n if (this._value === value) {\n // Do nothing; the value hasn't changed\n return;\n }\n let oldValue = this._value;\n this._value = value;\n // Alert JavaScript listeners that the value has changed\n let evt = {};\n if (event && typeof(event) === \"object\") {\n for (let k in event) {\n if (event.hasOwnProperty(k))\n evt[k] = event[k];\n }\n }\n evt.oldValue = oldValue;\n evt.value = value;\n this._events.trigger(\"change\", evt, this);\n\n // TODO: Make this extensible, to let arbitrary back-ends know that\n // something has changed\n if (global.Shiny && global.Shiny.onInputChange) {\n global.Shiny.onInputChange(\n \".clientValue-\" +\n (this._group.name !== null ? this._group.name + \"-\" : \"\") +\n this._name,\n typeof(value) === \"undefined\" ? null : value\n );\n }\n }\n\n on(eventType, listener) {\n return this._events.on(eventType, listener);\n }\n\n off(eventType, listener) {\n return this._events.off(eventType, listener);\n }\n}\n" + ] +} \ No newline at end of file diff --git a/content/posts/2024-07-31-data-dictionary/index_files/crosstalk/js/crosstalk.min.js b/content/posts/2024-07-31-data-dictionary/index_files/crosstalk/js/crosstalk.min.js new file mode 100644 index 0000000..b7ec0ac --- /dev/null +++ b/content/posts/2024-07-31-data-dictionary/index_files/crosstalk/js/crosstalk.min.js @@ -0,0 +1,2 @@ +!function o(u,a,l){function s(n,e){if(!a[n]){if(!u[n]){var t="function"==typeof require&&require;if(!e&&t)return t(n,!0);if(f)return f(n,!0);var r=new Error("Cannot find module '"+n+"'");throw r.code="MODULE_NOT_FOUND",r}var i=a[n]={exports:{}};u[n][0].call(i.exports,function(e){var t=u[n][1][e];return s(t||e)},i,i.exports,o,u,a,l)}return a[n].exports}for(var f="function"==typeof require&&require,e=0;e?@[\\\]^`{|}~])/g,"\\$1")+"']"),r=JSON.parse(n[0].innerText),i=e.factory(t,r);o(t).data("crosstalk-instance",i),o(t).addClass("crosstalk-input-bound")}if(t.Shiny){var e=new t.Shiny.InputBinding,u=t.jQuery;u.extend(e,{find:function(e){return u(e).find(".crosstalk-input")},initialize:function(e){var t,n;u(e).hasClass("crosstalk-input-bound")||(n=o(t=e),Object.keys(r).forEach(function(e){n.hasClass(e)&&!n.hasClass("crosstalk-input-bound")&&i(r[e],t)}))},getId:function(e){return e.id},getValue:function(e){},setValue:function(e,t){},receiveMessage:function(e,t){},subscribe:function(e,t){u(e).data("crosstalk-instance").resume()},unsubscribe:function(e){u(e).data("crosstalk-instance").suspend()}}),t.Shiny.inputBindings.register(e,"crosstalk.inputBinding")}}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{}],7:[function(r,e,t){(function(e){"use strict";var t=function(e){{if(e&&e.__esModule)return e;var t={};if(null!=e)for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n]);return t.default=e,t}}(r("./input")),n=r("./filter");var a=e.jQuery;t.register({className:"crosstalk-input-checkboxgroup",factory:function(e,r){var i=new n.FilterHandle(r.group),o=void 0,u=a(e);return u.on("change","input[type='checkbox']",function(){var e=u.find("input[type='checkbox']:checked");if(0===e.length)o=null,i.clear();else{var t={};e.each(function(){r.map[this.value].forEach(function(e){t[e]=!0})});var n=Object.keys(t);n.sort(),o=n,i.set(n)}}),{suspend:function(){i.clear()},resume:function(){o&&i.set(o)}}}})}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"./filter":2,"./input":6}],8:[function(r,e,t){(function(e){"use strict";var t=n(r("./input")),l=n(r("./util")),s=r("./filter");function n(e){if(e&&e.__esModule)return e;var t={};if(null!=e)for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n]);return t.default=e,t}var f=e.jQuery;t.register({className:"crosstalk-input-select",factory:function(e,n){var t=l.dataframeToD3(n.items),r={options:[{value:"",label:"(All)"}].concat(t),valueField:"value",labelField:"label",searchField:"label"},i=f(e).find("select")[0],o=f(i).selectize(r)[0].selectize,u=new s.FilterHandle(n.group),a=void 0;return o.on("change",function(){if(0===o.items.length)a=null,u.clear();else{var t={};o.items.forEach(function(e){n.map[e].forEach(function(e){t[e]=!0})});var e=Object.keys(t);e.sort(),a=e,u.set(e)}}),{suspend:function(){u.clear()},resume:function(){a&&u.set(a)}}}})}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"./filter":2,"./input":6,"./util":11}],9:[function(n,e,t){(function(e){"use strict";var d=function(e,t){if(Array.isArray(e))return e;if(Symbol.iterator in Object(e))return function(e,t){var n=[],r=!0,i=!1,o=void 0;try{for(var u,a=e[Symbol.iterator]();!(r=(u=a.next()).done)&&(n.push(u.value),!t||n.length!==t);r=!0);}catch(e){i=!0,o=e}finally{try{!r&&a.return&&a.return()}finally{if(i)throw o}}return n}(e,t);throw new TypeError("Invalid attempt to destructure non-iterable instance")},t=function(e){{if(e&&e.__esModule)return e;var t={};if(null!=e)for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n]);return t.default=e,t}}(n("./input")),a=n("./filter");var v=e.jQuery,p=e.strftime;function y(e,t){for(var n=e.toString();n.length {\n this._eventRelay.trigger(\"change\", e, this);\n });\n this._varOnChangeSub = sub;\n }\n }\n\n /**\n * Combine the given `extraInfo` (if any) with the handle's default\n * `_extraInfo` (if any).\n * @private\n */\n _mergeExtraInfo(extraInfo) {\n return util.extend({},\n this._extraInfo ? this._extraInfo : null,\n extraInfo ? extraInfo : null);\n }\n\n /**\n * Close the handle. This clears this handle's contribution to the filter set,\n * and unsubscribes all event listeners.\n */\n close() {\n this._emitter.removeAllListeners();\n this.clear();\n this.setGroup(null);\n }\n\n /**\n * Clear this handle's contribution to the filter set.\n *\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any options that were\n * passed into the `FilterHandle` constructor).\n * \n * @fires FilterHandle#change\n */\n clear(extraInfo) {\n if (!this._filterSet)\n return;\n this._filterSet.clear(this._id);\n this._onChange(extraInfo);\n }\n\n /**\n * Set this handle's contribution to the filter set. This array should consist\n * of the keys of the rows that _should_ be displayed; any keys that are not\n * present in the array will be considered _filtered out_. Note that multiple\n * `FilterHandle` instances in the group may each contribute an array of keys,\n * and only those keys that appear in _all_ of the arrays make it through the\n * filter.\n *\n * @param {string[]} keys - Empty array, or array of keys. To clear the\n * filter, don't pass an empty array; instead, use the\n * {@link FilterHandle#clear} method.\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any options that were\n * passed into the `FilterHandle` constructor).\n * \n * @fires FilterHandle#change\n */\n set(keys, extraInfo) {\n if (!this._filterSet)\n return;\n this._filterSet.update(this._id, keys);\n this._onChange(extraInfo);\n }\n\n /**\n * @return {string[]|null} - Either: 1) an array of keys that made it through\n * all of the `FilterHandle` instances, or, 2) `null`, which means no filter\n * is being applied (all data should be displayed).\n */\n get filteredKeys() {\n return this._filterSet ? this._filterSet.value : null;\n }\n\n /**\n * Subscribe to events on this `FilterHandle`.\n *\n * @param {string} eventType - Indicates the type of events to listen to.\n * Currently, only `\"change\"` is supported.\n * @param {FilterHandle~listener} listener - The callback function that\n * will be invoked when the event occurs.\n * @return {string} - A token to pass to {@link FilterHandle#off} to cancel\n * this subscription.\n */\n on(eventType, listener) {\n return this._emitter.on(eventType, listener);\n }\n\n /**\n * Cancel event subscriptions created by {@link FilterHandle#on}.\n *\n * @param {string} eventType - The type of event to unsubscribe.\n * @param {string|FilterHandle~listener} listener - Either the callback\n * function previously passed into {@link FilterHandle#on}, or the\n * string that was returned from {@link FilterHandle#on}.\n */\n off(eventType, listener) {\n return this._emitter.off(eventType, listener);\n }\n\n _onChange(extraInfo) {\n if (!this._filterSet)\n return;\n this._filterVar.set(this._filterSet.value, this._mergeExtraInfo(extraInfo));\n }\n\n /**\n * @callback FilterHandle~listener\n * @param {Object} event - An object containing details of the event. For\n * `\"change\"` events, this includes the properties `value` (the new\n * value of the filter set, or `null` if no filter set is active),\n * `oldValue` (the previous value of the filter set), and `sender` (the\n * `FilterHandle` instance that made the change).\n */\n\n}\n\n/**\n * @event FilterHandle#change\n * @type {object}\n * @property {object} value - The new value of the filter set, or `null`\n * if no filter set is active.\n * @property {object} oldValue - The previous value of the filter set.\n * @property {FilterHandle} sender - The `FilterHandle` instance that\n * changed the value.\n */\n","import { diffSortedLists } from \"./util\";\n\nfunction naturalComparator(a, b) {\n if (a === b) {\n return 0;\n } else if (a < b) {\n return -1;\n } else if (a > b) {\n return 1;\n }\n}\n\n/**\n * @private\n */\nexport default class FilterSet {\n constructor() {\n this.reset();\n }\n\n reset() {\n // Key: handle ID, Value: array of selected keys, or null\n this._handles = {};\n // Key: key string, Value: count of handles that include it\n this._keys = {};\n this._value = null;\n this._activeHandles = 0;\n }\n\n get value() {\n return this._value;\n }\n\n update(handleId, keys) {\n if (keys !== null) {\n keys = keys.slice(0); // clone before sorting\n keys.sort(naturalComparator);\n }\n\n let {added, removed} = diffSortedLists(this._handles[handleId], keys);\n this._handles[handleId] = keys;\n\n for (let i = 0; i < added.length; i++) {\n this._keys[added[i]] = (this._keys[added[i]] || 0) + 1;\n }\n for (let i = 0; i < removed.length; i++) {\n this._keys[removed[i]]--;\n }\n\n this._updateValue(keys);\n }\n\n /**\n * @param {string[]} keys Sorted array of strings that indicate\n * a superset of possible keys.\n * @private\n */\n _updateValue(keys = this._allKeys) {\n let handleCount = Object.keys(this._handles).length;\n if (handleCount === 0) {\n this._value = null;\n } else {\n this._value = [];\n for (let i = 0; i < keys.length; i++) {\n let count = this._keys[keys[i]];\n if (count === handleCount) {\n this._value.push(keys[i]);\n }\n }\n }\n }\n\n clear(handleId) {\n if (typeof(this._handles[handleId]) === \"undefined\") {\n return;\n }\n\n let keys = this._handles[handleId];\n if (!keys) {\n keys = [];\n }\n\n for (let i = 0; i < keys.length; i++) {\n this._keys[keys[i]]--;\n }\n delete this._handles[handleId];\n\n this._updateValue();\n }\n\n get _allKeys() {\n let allKeys = Object.keys(this._keys);\n allKeys.sort(naturalComparator);\n return allKeys;\n }\n}\n","import Var from \"./var\";\n\n// Use a global so that multiple copies of crosstalk.js can be loaded and still\n// have groups behave as singletons across all copies.\nglobal.__crosstalk_groups = global.__crosstalk_groups || {};\nlet groups = global.__crosstalk_groups;\n\nexport default function group(groupName) {\n if (groupName && typeof(groupName) === \"string\") {\n if (!groups.hasOwnProperty(groupName)) {\n groups[groupName] = new Group(groupName);\n }\n return groups[groupName];\n } else if (typeof(groupName) === \"object\" && groupName._vars && groupName.var) {\n // Appears to already be a group object\n return groupName;\n } else if (Array.isArray(groupName) &&\n groupName.length == 1 &&\n typeof(groupName[0]) === \"string\") {\n return group(groupName[0]);\n } else {\n throw new Error(\"Invalid groupName argument\");\n }\n}\n\nclass Group {\n constructor(name) {\n this.name = name;\n this._vars = {};\n }\n\n var(name) {\n if (!name || typeof(name) !== \"string\") {\n throw new Error(\"Invalid var name\");\n }\n\n if (!this._vars.hasOwnProperty(name))\n this._vars[name] = new Var(this, name);\n return this._vars[name];\n }\n\n has(name) {\n if (!name || typeof(name) !== \"string\") {\n throw new Error(\"Invalid var name\");\n }\n\n return this._vars.hasOwnProperty(name);\n }\n}\n","import group from \"./group\";\nimport { SelectionHandle } from \"./selection\";\nimport { FilterHandle } from \"./filter\";\nimport { bind } from \"./input\";\nimport \"./input_selectize\";\nimport \"./input_checkboxgroup\";\nimport \"./input_slider\";\n\nconst defaultGroup = group(\"default\");\n\nfunction var_(name) {\n return defaultGroup.var(name);\n}\n\nfunction has(name) {\n return defaultGroup.has(name);\n}\n\nif (global.Shiny) {\n global.Shiny.addCustomMessageHandler(\"update-client-value\", function(message) {\n if (typeof(message.group) === \"string\") {\n group(message.group).var(message.name).set(message.value);\n } else {\n var_(message.name).set(message.value);\n }\n });\n}\n\nconst crosstalk = {\n group: group,\n var: var_,\n has: has,\n SelectionHandle: SelectionHandle,\n FilterHandle: FilterHandle,\n bind: bind\n};\n\n/**\n * @namespace crosstalk\n */\nexport default crosstalk;\nglobal.crosstalk = crosstalk;\n","let $ = global.jQuery;\n\nlet bindings = {};\n\nexport function register(reg) {\n bindings[reg.className] = reg;\n if (global.document && global.document.readyState !== \"complete\") {\n $(() => {\n bind();\n });\n } else if (global.document) {\n setTimeout(bind, 100);\n }\n}\n\nexport function bind() {\n Object.keys(bindings).forEach(function(className) {\n let binding = bindings[className];\n $(\".\" + binding.className).not(\".crosstalk-input-bound\").each(function(i, el) {\n bindInstance(binding, el);\n });\n });\n}\n\n// Escape jQuery identifier\nfunction $escape(val) {\n return val.replace(/([!\"#$%&'()*+,./:;<=>?@[\\\\\\]^`{|}~])/g, \"\\\\$1\");\n}\n\nfunction bindEl(el) {\n let $el = $(el);\n Object.keys(bindings).forEach(function(className) {\n if ($el.hasClass(className) && !$el.hasClass(\"crosstalk-input-bound\")) {\n let binding = bindings[className];\n bindInstance(binding, el);\n }\n });\n}\n\nfunction bindInstance(binding, el) {\n let jsonEl = $(el).find(\"script[type='application/json'][data-for='\" + $escape(el.id) + \"']\");\n let data = JSON.parse(jsonEl[0].innerText);\n\n let instance = binding.factory(el, data);\n $(el).data(\"crosstalk-instance\", instance);\n $(el).addClass(\"crosstalk-input-bound\");\n}\n\nif (global.Shiny) {\n let inputBinding = new global.Shiny.InputBinding();\n let $ = global.jQuery;\n $.extend(inputBinding, {\n find: function(scope) {\n return $(scope).find(\".crosstalk-input\");\n },\n initialize: function(el) {\n if (!$(el).hasClass(\"crosstalk-input-bound\")) {\n bindEl(el);\n }\n },\n getId: function(el) {\n return el.id;\n },\n getValue: function(el) {\n\n },\n setValue: function(el, value) {\n\n },\n receiveMessage: function(el, data) {\n\n },\n subscribe: function(el, callback) {\n $(el).data(\"crosstalk-instance\").resume();\n },\n unsubscribe: function(el) {\n $(el).data(\"crosstalk-instance\").suspend();\n }\n });\n global.Shiny.inputBindings.register(inputBinding, \"crosstalk.inputBinding\");\n}\n","import * as input from \"./input\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\n\ninput.register({\n className: \"crosstalk-input-checkboxgroup\",\n\n factory: function(el, data) {\n /*\n * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n * group: \"ct-groupname\"\n */\n let ctHandle = new FilterHandle(data.group);\n\n let lastKnownKeys;\n let $el = $(el);\n $el.on(\"change\", \"input[type='checkbox']\", function() {\n let checked = $el.find(\"input[type='checkbox']:checked\");\n if (checked.length === 0) {\n lastKnownKeys = null;\n ctHandle.clear();\n } else {\n let keys = {};\n checked.each(function() {\n data.map[this.value].forEach(function(key) {\n keys[key] = true;\n });\n });\n let keyArray = Object.keys(keys);\n keyArray.sort();\n lastKnownKeys = keyArray;\n ctHandle.set(keyArray);\n }\n });\n\n return {\n suspend: function() {\n ctHandle.clear();\n },\n resume: function() {\n if (lastKnownKeys)\n ctHandle.set(lastKnownKeys);\n }\n };\n }\n});\n","import * as input from \"./input\";\nimport * as util from \"./util\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\n\ninput.register({\n className: \"crosstalk-input-select\",\n\n factory: function(el, data) {\n /*\n * items: {value: [...], label: [...]}\n * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n * group: \"ct-groupname\"\n */\n\n let first = [{value: \"\", label: \"(All)\"}];\n let items = util.dataframeToD3(data.items);\n let opts = {\n options: first.concat(items),\n valueField: \"value\",\n labelField: \"label\",\n searchField: \"label\"\n };\n\n let select = $(el).find(\"select\")[0];\n\n let selectize = $(select).selectize(opts)[0].selectize;\n\n let ctHandle = new FilterHandle(data.group);\n\n let lastKnownKeys;\n selectize.on(\"change\", function() {\n if (selectize.items.length === 0) {\n lastKnownKeys = null;\n ctHandle.clear();\n } else {\n let keys = {};\n selectize.items.forEach(function(group) {\n data.map[group].forEach(function(key) {\n keys[key] = true;\n });\n });\n let keyArray = Object.keys(keys);\n keyArray.sort();\n lastKnownKeys = keyArray;\n ctHandle.set(keyArray);\n }\n });\n\n return {\n suspend: function() {\n ctHandle.clear();\n },\n resume: function() {\n if (lastKnownKeys)\n ctHandle.set(lastKnownKeys);\n }\n };\n }\n});\n","import * as input from \"./input\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\nlet strftime = global.strftime;\n\ninput.register({\n className: \"crosstalk-input-slider\",\n\n factory: function(el, data) {\n /*\n * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n * group: \"ct-groupname\"\n */\n let ctHandle = new FilterHandle(data.group);\n\n let opts = {};\n let $el = $(el).find(\"input\");\n let dataType = $el.data(\"data-type\");\n let timeFormat = $el.data(\"time-format\");\n let round = $el.data(\"round\");\n let timeFormatter;\n\n // Set up formatting functions\n if (dataType === \"date\") {\n timeFormatter = strftime.utc();\n opts.prettify = function(num) {\n return timeFormatter(timeFormat, new Date(num));\n };\n\n } else if (dataType === \"datetime\") {\n let timezone = $el.data(\"timezone\");\n if (timezone)\n timeFormatter = strftime.timezone(timezone);\n else\n timeFormatter = strftime;\n\n opts.prettify = function(num) {\n return timeFormatter(timeFormat, new Date(num));\n };\n } else if (dataType === \"number\") {\n if (typeof round !== \"undefined\")\n opts.prettify = function(num) {\n let factor = Math.pow(10, round);\n return Math.round(num * factor) / factor;\n };\n }\n\n $el.ionRangeSlider(opts);\n\n function getValue() {\n let result = $el.data(\"ionRangeSlider\").result;\n\n // Function for converting numeric value from slider to appropriate type.\n let convert;\n let dataType = $el.data(\"data-type\");\n if (dataType === \"date\") {\n convert = function(val) {\n return formatDateUTC(new Date(+val));\n };\n } else if (dataType === \"datetime\") {\n convert = function(val) {\n // Convert ms to s\n return +val / 1000;\n };\n } else {\n convert = function(val) { return +val; };\n }\n\n if ($el.data(\"ionRangeSlider\").options.type === \"double\") {\n return [convert(result.from), convert(result.to)];\n } else {\n return convert(result.from);\n }\n }\n\n let lastKnownKeys = null;\n\n $el.on(\"change.crosstalkSliderInput\", function(event) {\n if (!$el.data(\"updating\") && !$el.data(\"animating\")) {\n let [from, to] = getValue();\n let keys = [];\n for (let i = 0; i < data.values.length; i++) {\n let val = data.values[i];\n if (val >= from && val <= to) {\n keys.push(data.keys[i]);\n }\n }\n keys.sort();\n ctHandle.set(keys);\n lastKnownKeys = keys;\n }\n });\n\n\n // let $el = $(el);\n // $el.on(\"change\", \"input[type=\"checkbox\"]\", function() {\n // let checked = $el.find(\"input[type=\"checkbox\"]:checked\");\n // if (checked.length === 0) {\n // ctHandle.clear();\n // } else {\n // let keys = {};\n // checked.each(function() {\n // data.map[this.value].forEach(function(key) {\n // keys[key] = true;\n // });\n // });\n // let keyArray = Object.keys(keys);\n // keyArray.sort();\n // ctHandle.set(keyArray);\n // }\n // });\n\n return {\n suspend: function() {\n ctHandle.clear();\n },\n resume: function() {\n if (lastKnownKeys)\n ctHandle.set(lastKnownKeys);\n }\n };\n }\n});\n\n\n// Convert a number to a string with leading zeros\nfunction padZeros(n, digits) {\n let str = n.toString();\n while (str.length < digits)\n str = \"0\" + str;\n return str;\n}\n\n// Given a Date object, return a string in yyyy-mm-dd format, using the\n// UTC date. This may be a day off from the date in the local time zone.\nfunction formatDateUTC(date) {\n if (date instanceof Date) {\n return date.getUTCFullYear() + \"-\" +\n padZeros(date.getUTCMonth()+1, 2) + \"-\" +\n padZeros(date.getUTCDate(), 2);\n\n } else {\n return null;\n }\n}\n","import Events from \"./events\";\nimport grp from \"./group\";\nimport * as util from \"./util\";\n\n/**\n * Use this class to read and write (and listen for changes to) the selection\n * for a Crosstalk group. This is intended to be used for linked brushing.\n *\n * If two (or more) `SelectionHandle` instances in the same webpage share the\n * same group name, they will share the same state. Setting the selection using\n * one `SelectionHandle` instance will result in the `value` property instantly\n * changing across the others, and `\"change\"` event listeners on all instances\n * (including the one that initiated the sending) will fire.\n *\n * @param {string} [group] - The name of the Crosstalk group, or if none,\n * null or undefined (or any other falsy value). This can be changed later\n * via the [SelectionHandle#setGroup](#setGroup) method.\n * @param {Object} [extraInfo] - An object whose properties will be copied to\n * the event object whenever an event is emitted.\n */\nexport class SelectionHandle {\n\n constructor(group = null, extraInfo = null) {\n this._eventRelay = new Events();\n this._emitter = new util.SubscriptionTracker(this._eventRelay);\n\n // Name of the group we're currently tracking, if any. Can change over time.\n this._group = null;\n // The Var we're currently tracking, if any. Can change over time.\n this._var = null;\n // The event handler subscription we currently have on var.on(\"change\").\n this._varOnChangeSub = null;\n\n this._extraInfo = util.extend({ sender: this }, extraInfo);\n\n this.setGroup(group);\n }\n\n /**\n * Changes the Crosstalk group membership of this SelectionHandle. The group\n * being switched away from (if any) will not have its selection value\n * modified as a result of calling `setGroup`, even if this handle was the\n * most recent handle to set the selection of the group.\n *\n * The group being switched to (if any) will also not have its selection value\n * modified as a result of calling `setGroup`. If you want to set the\n * selection value of the new group, call `set` explicitly.\n *\n * @param {string} group - The name of the Crosstalk group, or null (or\n * undefined) to clear the group.\n */\n setGroup(group) {\n // If group is unchanged, do nothing\n if (this._group === group)\n return;\n // Treat null, undefined, and other falsy values the same\n if (!this._group && !group)\n return;\n\n if (this._var) {\n this._var.off(\"change\", this._varOnChangeSub);\n this._var = null;\n this._varOnChangeSub = null;\n }\n\n this._group = group;\n\n if (group) {\n this._var = grp(group).var(\"selection\");\n let sub = this._var.on(\"change\", (e) => {\n this._eventRelay.trigger(\"change\", e, this);\n });\n this._varOnChangeSub = sub;\n }\n }\n\n /**\n * Retrieves the current selection for the group represented by this\n * `SelectionHandle`.\n *\n * - If no selection is active, then this value will be falsy.\n * - If a selection is active, but no data points are selected, then this\n * value will be an empty array.\n * - If a selection is active, and data points are selected, then the keys\n * of the selected data points will be present in the array.\n */\n get value() {\n return this._var ? this._var.get() : null;\n }\n\n /**\n * Combines the given `extraInfo` (if any) with the handle's default\n * `_extraInfo` (if any).\n * @private\n */\n _mergeExtraInfo(extraInfo) {\n // Important incidental effect: shallow clone is returned\n return util.extend({},\n this._extraInfo ? this._extraInfo : null,\n extraInfo ? extraInfo : null);\n }\n\n /**\n * Overwrites the current selection for the group, and raises the `\"change\"`\n * event among all of the group's '`SelectionHandle` instances (including\n * this one).\n *\n * @fires SelectionHandle#change\n * @param {string[]} selectedKeys - Falsy, empty array, or array of keys (see\n * {@link SelectionHandle#value}).\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any options that were\n * passed into the `SelectionHandle` constructor).\n */\n set(selectedKeys, extraInfo) {\n if (this._var)\n this._var.set(selectedKeys, this._mergeExtraInfo(extraInfo));\n }\n\n /**\n * Overwrites the current selection for the group, and raises the `\"change\"`\n * event among all of the group's '`SelectionHandle` instances (including\n * this one).\n *\n * @fires SelectionHandle#change\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any that were passed\n * into the `SelectionHandle` constructor).\n */\n clear(extraInfo) {\n if (this._var)\n this.set(void 0, this._mergeExtraInfo(extraInfo));\n }\n\n /**\n * Subscribes to events on this `SelectionHandle`.\n *\n * @param {string} eventType - Indicates the type of events to listen to.\n * Currently, only `\"change\"` is supported.\n * @param {SelectionHandle~listener} listener - The callback function that\n * will be invoked when the event occurs.\n * @return {string} - A token to pass to {@link SelectionHandle#off} to cancel\n * this subscription.\n */\n on(eventType, listener) {\n return this._emitter.on(eventType, listener);\n }\n\n /**\n * Cancels event subscriptions created by {@link SelectionHandle#on}.\n *\n * @param {string} eventType - The type of event to unsubscribe.\n * @param {string|SelectionHandle~listener} listener - Either the callback\n * function previously passed into {@link SelectionHandle#on}, or the\n * string that was returned from {@link SelectionHandle#on}.\n */\n off(eventType, listener) {\n return this._emitter.off(eventType, listener);\n }\n\n /**\n * Shuts down the `SelectionHandle` object.\n *\n * Removes all event listeners that were added through this handle.\n */\n close() {\n this._emitter.removeAllListeners();\n this.setGroup(null);\n }\n}\n\n/**\n * @callback SelectionHandle~listener\n * @param {Object} event - An object containing details of the event. For\n * `\"change\"` events, this includes the properties `value` (the new\n * value of the selection, or `undefined` if no selection is active),\n * `oldValue` (the previous value of the selection), and `sender` (the\n * `SelectionHandle` instance that made the change).\n */\n\n/**\n * @event SelectionHandle#change\n * @type {object}\n * @property {object} value - The new value of the selection, or `undefined`\n * if no selection is active.\n * @property {object} oldValue - The previous value of the selection.\n * @property {SelectionHandle} sender - The `SelectionHandle` instance that\n * changed the value.\n */\n","export function extend(target, ...sources) {\n for (let i = 0; i < sources.length; i++) {\n let src = sources[i];\n if (typeof(src) === \"undefined\" || src === null)\n continue;\n\n for (let key in src) {\n if (src.hasOwnProperty(key)) {\n target[key] = src[key];\n }\n }\n }\n return target;\n}\n\nexport function checkSorted(list) {\n for (let i = 1; i < list.length; i++) {\n if (list[i] <= list[i-1]) {\n throw new Error(\"List is not sorted or contains duplicate\");\n }\n }\n}\n\nexport function diffSortedLists(a, b) {\n let i_a = 0;\n let i_b = 0;\n\n if (!a) a = [];\n if (!b) b = [];\n\n let a_only = [];\n let b_only = [];\n\n checkSorted(a);\n checkSorted(b);\n\n while (i_a < a.length && i_b < b.length) {\n if (a[i_a] === b[i_b]) {\n i_a++;\n i_b++;\n } else if (a[i_a] < b[i_b]) {\n a_only.push(a[i_a++]);\n } else {\n b_only.push(b[i_b++]);\n }\n }\n\n if (i_a < a.length)\n a_only = a_only.concat(a.slice(i_a));\n if (i_b < b.length)\n b_only = b_only.concat(b.slice(i_b));\n return {\n removed: a_only,\n added: b_only\n };\n}\n\n// Convert from wide: { colA: [1,2,3], colB: [4,5,6], ... }\n// to long: [ {colA: 1, colB: 4}, {colA: 2, colB: 5}, ... ]\nexport function dataframeToD3(df) {\n let names = [];\n let length;\n for (let name in df) {\n if (df.hasOwnProperty(name))\n names.push(name);\n if (typeof(df[name]) !== \"object\" || typeof(df[name].length) === \"undefined\") {\n throw new Error(\"All fields must be arrays\");\n } else if (typeof(length) !== \"undefined\" && length !== df[name].length) {\n throw new Error(\"All fields must be arrays of the same length\");\n }\n length = df[name].length;\n }\n let results = [];\n let item;\n for (let row = 0; row < length; row++) {\n item = {};\n for (let col = 0; col < names.length; col++) {\n item[names[col]] = df[names[col]][row];\n }\n results.push(item);\n }\n return results;\n}\n\n/**\n * Keeps track of all event listener additions/removals and lets all active\n * listeners be removed with a single operation.\n *\n * @private\n */\nexport class SubscriptionTracker {\n constructor(emitter) {\n this._emitter = emitter;\n this._subs = {};\n }\n\n on(eventType, listener) {\n let sub = this._emitter.on(eventType, listener);\n this._subs[sub] = eventType;\n return sub;\n }\n\n off(eventType, listener) {\n let sub = this._emitter.off(eventType, listener);\n if (sub) {\n delete this._subs[sub];\n }\n return sub;\n }\n\n removeAllListeners() {\n let current_subs = this._subs;\n this._subs = {};\n Object.keys(current_subs).forEach((sub) => {\n this._emitter.off(current_subs[sub], sub);\n });\n }\n}\n","import Events from \"./events\";\n\nexport default class Var {\n constructor(group, name, /*optional*/ value) {\n this._group = group;\n this._name = name;\n this._value = value;\n this._events = new Events();\n }\n\n get() {\n return this._value;\n }\n\n set(value, /*optional*/ event) {\n if (this._value === value) {\n // Do nothing; the value hasn't changed\n return;\n }\n let oldValue = this._value;\n this._value = value;\n // Alert JavaScript listeners that the value has changed\n let evt = {};\n if (event && typeof(event) === \"object\") {\n for (let k in event) {\n if (event.hasOwnProperty(k))\n evt[k] = event[k];\n }\n }\n evt.oldValue = oldValue;\n evt.value = value;\n this._events.trigger(\"change\", evt, this);\n\n // TODO: Make this extensible, to let arbitrary back-ends know that\n // something has changed\n if (global.Shiny && global.Shiny.onInputChange) {\n global.Shiny.onInputChange(\n \".clientValue-\" +\n (this._group.name !== null ? this._group.name + \"-\" : \"\") +\n this._name,\n typeof(value) === \"undefined\" ? null : value\n );\n }\n }\n\n on(eventType, listener) {\n return this._events.on(eventType, listener);\n }\n\n off(eventType, listener) {\n return this._events.off(eventType, listener);\n }\n}\n"]} \ No newline at end of file diff --git a/content/posts/2024-07-31-data-dictionary/index_files/crosstalk/scss/crosstalk.scss b/content/posts/2024-07-31-data-dictionary/index_files/crosstalk/scss/crosstalk.scss new file mode 100644 index 0000000..3566561 --- /dev/null +++ b/content/posts/2024-07-31-data-dictionary/index_files/crosstalk/scss/crosstalk.scss @@ -0,0 +1,75 @@ +/* Adjust margins outwards, so column contents line up with the edges of the + parent of container-fluid. */ +.container-fluid.crosstalk-bscols { + margin-left: -30px; + margin-right: -30px; + white-space: normal; +} + +/* But don't adjust the margins outwards if we're directly under the body, + i.e. we were the top-level of something at the console. */ +body > .container-fluid.crosstalk-bscols { + margin-left: auto; + margin-right: auto; +} + +.crosstalk-input-checkboxgroup .crosstalk-options-group .crosstalk-options-column { + display: inline-block; + padding-right: 12px; + vertical-align: top; +} + +@media only screen and (max-width:480px) { + .crosstalk-input-checkboxgroup .crosstalk-options-group .crosstalk-options-column { + display: block; + padding-right: inherit; + } +} + +/* Relevant BS3 styles to make filter_checkbox() look reasonable without Bootstrap */ +.crosstalk-input { + margin-bottom: 15px; /* a la .form-group */ + .control-label { + margin-bottom: 0; + vertical-align: middle; + } + input[type="checkbox"] { + margin: 4px 0 0; + margin-top: 1px; + line-height: normal; + } + .checkbox { + position: relative; + display: block; + margin-top: 10px; + margin-bottom: 10px; + } + .checkbox > label{ + padding-left: 20px; + margin-bottom: 0; + font-weight: 400; + cursor: pointer; + } + .checkbox input[type="checkbox"], + .checkbox-inline input[type="checkbox"] { + position: absolute; + margin-top: 2px; + margin-left: -20px; + } + .checkbox + .checkbox { + margin-top: -5px; + } + .checkbox-inline { + position: relative; + display: inline-block; + padding-left: 20px; + margin-bottom: 0; + font-weight: 400; + vertical-align: middle; + cursor: pointer; + } + .checkbox-inline + .checkbox-inline { + margin-top: 0; + margin-left: 10px; + } +} diff --git a/content/posts/2024-07-31-data-dictionary/index_files/datatables-binding/datatables.js b/content/posts/2024-07-31-data-dictionary/index_files/datatables-binding/datatables.js new file mode 100644 index 0000000..765b53c --- /dev/null +++ b/content/posts/2024-07-31-data-dictionary/index_files/datatables-binding/datatables.js @@ -0,0 +1,1539 @@ +(function() { + +// some helper functions: using a global object DTWidget so that it can be used +// in JS() code, e.g. datatable(options = list(foo = JS('code'))); unlike R's +// dynamic scoping, when 'code' is eval'ed, JavaScript does not know objects +// from the "parent frame", e.g. JS('DTWidget') will not work unless it was made +// a global object +var DTWidget = {}; + +// 123456666.7890 -> 123,456,666.7890 +var markInterval = function(d, digits, interval, mark, decMark, precision) { + x = precision ? d.toPrecision(digits) : d.toFixed(digits); + if (!/^-?[\d.]+$/.test(x)) return x; + var xv = x.split('.'); + if (xv.length > 2) return x; // should have at most one decimal point + xv[0] = xv[0].replace(new RegExp('\\B(?=(\\d{' + interval + '})+(?!\\d))', 'g'), mark); + return xv.join(decMark); +}; + +DTWidget.formatCurrency = function(data, currency, digits, interval, mark, decMark, before, zeroPrint) { + var d = parseFloat(data); + if (isNaN(d)) return ''; + if (zeroPrint !== null && d === 0.0) return zeroPrint; + var res = markInterval(d, digits, interval, mark, decMark); + res = before ? (/^-/.test(res) ? '-' + currency + res.replace(/^-/, '') : currency + res) : + res + currency; + return res; +}; + +DTWidget.formatString = function(data, prefix, suffix) { + var d = data; + if (d === null) return ''; + return prefix + d + suffix; +}; + +DTWidget.formatPercentage = function(data, digits, interval, mark, decMark, zeroPrint) { + var d = parseFloat(data); + if (isNaN(d)) return ''; + if (zeroPrint !== null && d === 0.0) return zeroPrint; + return markInterval(d * 100, digits, interval, mark, decMark) + '%'; +}; + +DTWidget.formatRound = function(data, digits, interval, mark, decMark, zeroPrint) { + var d = parseFloat(data); + if (isNaN(d)) return ''; + if (zeroPrint !== null && d === 0.0) return zeroPrint; + return markInterval(d, digits, interval, mark, decMark); +}; + +DTWidget.formatSignif = function(data, digits, interval, mark, decMark, zeroPrint) { + var d = parseFloat(data); + if (isNaN(d)) return ''; + if (zeroPrint !== null && d === 0.0) return zeroPrint; + return markInterval(d, digits, interval, mark, decMark, true); +}; + +DTWidget.formatDate = function(data, method, params) { + var d = data; + if (d === null) return ''; + // (new Date('2015-10-28')).toDateString() may return 2015-10-27 because the + // actual time created could be like 'Tue Oct 27 2015 19:00:00 GMT-0500 (CDT)', + // i.e. the date-only string is treated as UTC time instead of local time + if ((method === 'toDateString' || method === 'toLocaleDateString') && /^\d{4,}\D\d{2}\D\d{2}$/.test(d)) { + d = d.split(/\D/); + d = new Date(d[0], d[1] - 1, d[2]); + } else { + d = new Date(d); + } + return d[method].apply(d, params); +}; + +window.DTWidget = DTWidget; + +// A helper function to update the properties of existing filters +var setFilterProps = function(td, props) { + // Update enabled/disabled state + var $input = $(td).find('input').first(); + var searchable = $input.data('searchable'); + $input.prop('disabled', !searchable || props.disabled); + + // Based on the filter type, set its new values + var type = td.getAttribute('data-type'); + if (['factor', 'logical'].includes(type)) { + // Reformat the new dropdown options for use with selectize + var new_vals = props.params.options.map(function(item) { + return { text: item, value: item }; + }); + + // Find the selectize object + var dropdown = $(td).find('.selectized').eq(0)[0].selectize; + + // Note the current values + var old_vals = dropdown.getValue(); + + // Remove the existing values + dropdown.clearOptions(); + + // Add the new options + dropdown.addOption(new_vals); + + // Preserve the existing values + dropdown.setValue(old_vals); + + } else if (['number', 'integer', 'date', 'time'].includes(type)) { + // Apply internal scaling to new limits. Updating scale not yet implemented. + var slider = $(td).find('.noUi-target').eq(0); + var scale = Math.pow(10, Math.max(0, +slider.data('scale') || 0)); + var new_vals = [props.params.min * scale, props.params.max * scale]; + + // Note what the new limits will be just for this filter + var new_lims = new_vals.slice(); + + // Determine the current values and limits + var old_vals = slider.val().map(Number); + var old_lims = slider.noUiSlider('options').range; + old_lims = [old_lims.min, old_lims.max]; + + // Preserve the current values if filters have been applied; otherwise, apply no filtering + if (old_vals[0] != old_lims[0]) { + new_vals[0] = Math.max(old_vals[0], new_vals[0]); + } + + if (old_vals[1] != old_lims[1]) { + new_vals[1] = Math.min(old_vals[1], new_vals[1]); + } + + // Update the endpoints of the slider + slider.noUiSlider({ + start: new_vals, + range: {'min': new_lims[0], 'max': new_lims[1]} + }, true); + } +}; + +var transposeArray2D = function(a) { + return a.length === 0 ? a : HTMLWidgets.transposeArray2D(a); +}; + +var crosstalkPluginsInstalled = false; + +function maybeInstallCrosstalkPlugins() { + if (crosstalkPluginsInstalled) + return; + crosstalkPluginsInstalled = true; + + $.fn.dataTable.ext.afnFiltering.push( + function(oSettings, aData, iDataIndex) { + var ctfilter = oSettings.nTable.ctfilter; + if (ctfilter && !ctfilter[iDataIndex]) + return false; + + var ctselect = oSettings.nTable.ctselect; + if (ctselect && !ctselect[iDataIndex]) + return false; + + return true; + } + ); +} + +HTMLWidgets.widget({ + name: "datatables", + type: "output", + renderOnNullValue: true, + initialize: function(el, width, height) { + // in order that the type=number inputs return a number + $.valHooks.number = { + get: function(el) { + var value = parseFloat(el.value); + return isNaN(value) ? "" : value; + } + }; + $(el).html(' '); + return { + data: null, + ctfilterHandle: new crosstalk.FilterHandle(), + ctfilterSubscription: null, + ctselectHandle: new crosstalk.SelectionHandle(), + ctselectSubscription: null + }; + }, + renderValue: function(el, data, instance) { + if (el.offsetWidth === 0 || el.offsetHeight === 0) { + instance.data = data; + return; + } + instance.data = null; + var $el = $(el); + $el.empty(); + + if (data === null) { + $el.append(' '); + // clear previous Shiny inputs (if any) + for (var i in instance.clearInputs) instance.clearInputs[i](); + instance.clearInputs = {}; + return; + } + + var crosstalkOptions = data.crosstalkOptions; + if (!crosstalkOptions) crosstalkOptions = { + 'key': null, 'group': null + }; + if (crosstalkOptions.group) { + maybeInstallCrosstalkPlugins(); + instance.ctfilterHandle.setGroup(crosstalkOptions.group); + instance.ctselectHandle.setGroup(crosstalkOptions.group); + } + + // if we are in the viewer then we always want to fillContainer and + // and autoHideNavigation (unless the user has explicitly set these) + if (window.HTMLWidgets.viewerMode) { + if (!data.hasOwnProperty("fillContainer")) + data.fillContainer = true; + if (!data.hasOwnProperty("autoHideNavigation")) + data.autoHideNavigation = true; + } + + // propagate fillContainer to instance (so we have it in resize) + instance.fillContainer = data.fillContainer; + + var cells = data.data; + + if (cells instanceof Array) cells = transposeArray2D(cells); + + $el.append(data.container); + var $table = $el.find('table'); + if (data.class) $table.addClass(data.class); + if (data.caption) $table.prepend(data.caption); + + if (!data.selection) data.selection = { + mode: 'none', selected: null, target: 'row', selectable: null + }; + if (HTMLWidgets.shinyMode && data.selection.mode !== 'none' && + data.selection.target === 'row+column') { + if ($table.children('tfoot').length === 0) { + $table.append($('')); + $table.find('thead tr').clone().appendTo($table.find('tfoot')); + } + } + + // column filters + var filterRow; + switch (data.filter) { + case 'top': + $table.children('thead').append(data.filterHTML); + filterRow = $table.find('thead tr:last td'); + break; + case 'bottom': + if ($table.children('tfoot').length === 0) { + $table.append($('')); + } + $table.children('tfoot').prepend(data.filterHTML); + filterRow = $table.find('tfoot tr:first td'); + break; + } + + var options = { searchDelay: 1000 }; + if (cells !== null) $.extend(options, { + data: cells + }); + + // options for fillContainer + var bootstrapActive = typeof($.fn.popover) != 'undefined'; + if (instance.fillContainer) { + + // force scrollX/scrollY and turn off autoWidth + options.scrollX = true; + options.scrollY = "100px"; // can be any value, we'll adjust below + + // if we aren't paginating then move around the info/filter controls + // to save space at the bottom and rephrase the info callback + if (data.options.paging === false) { + + // we know how to do this cleanly for bootstrap, not so much + // for other themes/layouts + if (bootstrapActive) { + options.dom = "<'row'<'col-sm-4'i><'col-sm-8'f>>" + + "<'row'<'col-sm-12'tr>>"; + } + + options.fnInfoCallback = function(oSettings, iStart, iEnd, + iMax, iTotal, sPre) { + return Number(iTotal).toLocaleString() + " records"; + }; + } + } + + // auto hide navigation if requested + // Note, this only works on client-side processing mode as on server-side, + // cells (data.data) is null; In addition, we require the pageLength option + // being provided explicitly to enable this. Despite we may be able to deduce + // the default value of pageLength, it may complicate things so we'd rather + // put this responsiblity to users and warn them on the R side. + if (data.autoHideNavigation === true && data.options.paging !== false) { + // strip all nav if length >= cells + if ((cells instanceof Array) && data.options.pageLength >= cells.length) + options.dom = bootstrapActive ? "<'row'<'col-sm-12'tr>>" : "t"; + // alternatively lean things out for flexdashboard mobile portrait + else if (bootstrapActive && window.FlexDashboard && window.FlexDashboard.isMobilePhone()) + options.dom = "<'row'<'col-sm-12'f>>" + + "<'row'<'col-sm-12'tr>>" + + "<'row'<'col-sm-12'p>>"; + } + + $.extend(true, options, data.options || {}); + + var searchCols = options.searchCols; + if (searchCols) { + searchCols = searchCols.map(function(x) { + return x === null ? '' : x.search; + }); + // FIXME: this means I don't respect the escapeRegex setting + delete options.searchCols; + } + + // server-side processing? + var server = options.serverSide === true; + + // use the dataSrc function to pre-process JSON data returned from R + var DT_rows_all = [], DT_rows_current = []; + if (server && HTMLWidgets.shinyMode && typeof options.ajax === 'object' && + /^session\/[\da-z]+\/dataobj/.test(options.ajax.url) && !options.ajax.dataSrc) { + options.ajax.dataSrc = function(json) { + DT_rows_all = $.makeArray(json.DT_rows_all); + DT_rows_current = $.makeArray(json.DT_rows_current); + var data = json.data; + if (!colReorderEnabled()) return data; + var table = $table.DataTable(), order = table.colReorder.order(), flag = true, i, j, row; + for (i = 0; i < order.length; ++i) if (order[i] !== i) flag = false; + if (flag) return data; + for (i = 0; i < data.length; ++i) { + row = data[i].slice(); + for (j = 0; j < order.length; ++j) data[i][j] = row[order[j]]; + } + return data; + }; + } + + var thiz = this; + if (instance.fillContainer) $table.on('init.dt', function(e) { + thiz.fillAvailableHeight(el, $(el).innerHeight()); + }); + // If the page contains serveral datatables and one of which enables colReorder, + // the table.colReorder.order() function will exist but throws error when called. + // So it seems like the only way to know if colReorder is enabled or not is to + // check the options. + var colReorderEnabled = function() { return "colReorder" in options; }; + var table = $table.DataTable(options); + $el.data('datatable', table); + + if ('rowGroup' in options) { + // Maintain RowGroup dataSrc when columns are reordered (#1109) + table.on('column-reorder', function(e, settings, details) { + var oldDataSrc = table.rowGroup().dataSrc(); + var newDataSrc = details.mapping[oldDataSrc]; + table.rowGroup().dataSrc(newDataSrc); + }); + } + + // Unregister previous Crosstalk event subscriptions, if they exist + if (instance.ctfilterSubscription) { + instance.ctfilterHandle.off("change", instance.ctfilterSubscription); + instance.ctfilterSubscription = null; + } + if (instance.ctselectSubscription) { + instance.ctselectHandle.off("change", instance.ctselectSubscription); + instance.ctselectSubscription = null; + } + + if (!crosstalkOptions.group) { + $table[0].ctfilter = null; + $table[0].ctselect = null; + } else { + var key = crosstalkOptions.key; + function keysToMatches(keys) { + if (!keys) { + return null; + } else { + var selectedKeys = {}; + for (var i = 0; i < keys.length; i++) { + selectedKeys[keys[i]] = true; + } + var matches = {}; + for (var j = 0; j < key.length; j++) { + if (selectedKeys[key[j]]) + matches[j] = true; + } + return matches; + } + } + + function applyCrosstalkFilter(e) { + $table[0].ctfilter = keysToMatches(e.value); + table.draw(); + } + instance.ctfilterSubscription = instance.ctfilterHandle.on("change", applyCrosstalkFilter); + applyCrosstalkFilter({value: instance.ctfilterHandle.filteredKeys}); + + function applyCrosstalkSelection(e) { + if (e.sender !== instance.ctselectHandle) { + table + .rows('.' + selClass, {search: 'applied'}) + .nodes() + .to$() + .removeClass(selClass); + if (selectedRows) + changeInput('rows_selected', selectedRows(), void 0, true); + } + + if (e.sender !== instance.ctselectHandle && e.value && e.value.length) { + var matches = keysToMatches(e.value); + + // persistent selection with plotly (& leaflet) + var ctOpts = crosstalk.var("plotlyCrosstalkOpts").get() || {}; + if (ctOpts.persistent === true) { + var matches = $.extend(matches, $table[0].ctselect); + } + + $table[0].ctselect = matches; + table.draw(); + } else { + if ($table[0].ctselect) { + $table[0].ctselect = null; + table.draw(); + } + } + } + instance.ctselectSubscription = instance.ctselectHandle.on("change", applyCrosstalkSelection); + // TODO: This next line doesn't seem to work when renderDataTable is used + applyCrosstalkSelection({value: instance.ctselectHandle.value}); + } + + var inArray = function(val, array) { + return $.inArray(val, $.makeArray(array)) > -1; + }; + + // search the i-th column + var searchColumn = function(i, value) { + var regex = false, ci = true; + if (options.search) { + regex = options.search.regex, + ci = options.search.caseInsensitive !== false; + } + // need to transpose the column index when colReorder is enabled + if (table.colReorder) i = table.colReorder.transpose(i); + return table.column(i).search(value, regex, !regex, ci); + }; + + if (data.filter !== 'none') { + if (!data.hasOwnProperty('filterSettings')) data.filterSettings = {}; + + filterRow.each(function(i, td) { + + var $td = $(td), type = $td.data('type'), filter; + var $input = $td.children('div').first().children('input'); + var disabled = $input.prop('disabled'); + var searchable = table.settings()[0].aoColumns[i].bSearchable; + $input.prop('disabled', !searchable || disabled); + $input.data('searchable', searchable); // for updating later + $input.on('input blur', function() { + $input.next('span').toggle(Boolean($input.val())); + }); + // Bootstrap sets pointer-events to none and we won't be able to click + // the clear button + $input.next('span').css('pointer-events', 'auto').hide().click(function() { + $(this).hide().prev('input').val('').trigger('input').focus(); + }); + var searchCol; // search string for this column + if (searchCols && searchCols[i]) { + searchCol = searchCols[i]; + $input.val(searchCol).trigger('input'); + } + var $x = $td.children('div').last(); + + // remove the overflow: hidden attribute of the scrollHead + // (otherwise the scrolling table body obscures the filters) + // The workaround and the discussion from + // https://github.com/rstudio/DT/issues/554#issuecomment-518007347 + // Otherwise the filter selection will not be anchored to the values + // when the columns number is many and scrollX is enabled. + var scrollHead = $(el).find('.dataTables_scrollHead,.dataTables_scrollFoot'); + var cssOverflowHead = scrollHead.css('overflow'); + var scrollBody = $(el).find('.dataTables_scrollBody'); + var cssOverflowBody = scrollBody.css('overflow'); + var scrollTable = $(el).find('.dataTables_scroll'); + var cssOverflowTable = scrollTable.css('overflow'); + if (cssOverflowHead === 'hidden') { + $x.on('show hide', function(e) { + if (e.type === 'show') { + scrollHead.css('overflow', 'visible'); + scrollBody.css('overflow', 'visible'); + scrollTable.css('overflow-x', 'scroll'); + } else { + scrollHead.css('overflow', cssOverflowHead); + scrollBody.css('overflow', cssOverflowBody); + scrollTable.css('overflow-x', cssOverflowTable); + } + }); + $x.css('z-index', 25); + } + + if (inArray(type, ['factor', 'logical'])) { + $input.on({ + click: function() { + $input.parent().hide(); $x.show().trigger('show'); filter[0].selectize.focus(); + }, + input: function() { + var v1 = JSON.stringify(filter[0].selectize.getValue()), v2 = $input.val(); + if (v1 === '[]') v1 = ''; + if (v1 !== v2) filter[0].selectize.setValue(v2 === '' ? [] : JSON.parse(v2)); + } + }); + var $input2 = $x.children('select'); + filter = $input2.selectize($.extend({ + options: $input2.data('options').map(function(v, i) { + return ({text: v, value: v}); + }), + plugins: ['remove_button'], + hideSelected: true, + onChange: function(value) { + if (value === null) value = []; // compatibility with jQuery 3.0 + $input.val(value.length ? JSON.stringify(value) : ''); + if (value.length) $input.trigger('input'); + $input.attr('title', $input.val()); + if (server) { + searchColumn(i, value.length ? JSON.stringify(value) : '').draw(); + return; + } + // turn off filter if nothing selected + $td.data('filter', value.length > 0); + table.draw(); // redraw table, and filters will be applied + } + }, data.filterSettings.select)); + filter[0].selectize.on('blur', function() { + $x.hide().trigger('hide'); $input.parent().show(); $input.trigger('blur'); + }); + filter.next('div').css('margin-bottom', 'auto'); + } else if (type === 'character') { + var fun = function() { + searchColumn(i, $input.val()).draw(); + }; + // throttle searching for server-side processing + var throttledFun = $.fn.dataTable.util.throttle(fun, options.searchDelay); + $input.on('input', function(e, immediate) { + // always bypass throttling when immediate = true (via the updateSearch method) + (immediate || !server) ? fun() : throttledFun(); + }); + } else if (inArray(type, ['number', 'integer', 'date', 'time'])) { + var $x0 = $x; + $x = $x0.children('div').first(); + $x0.css({ + 'background-color': '#fff', + 'border': '1px #ddd solid', + 'border-radius': '4px', + 'padding': data.vertical ? '35px 20px': '20px 20px 10px 20px' + }); + var $spans = $x0.children('span').css({ + 'margin-top': data.vertical ? '0' : '10px', + 'white-space': 'nowrap' + }); + var $span1 = $spans.first(), $span2 = $spans.last(); + var r1 = +$x.data('min'), r2 = +$x.data('max'); + // when the numbers are too small or have many decimal places, the + // slider may have numeric precision problems (#150) + var scale = Math.pow(10, Math.max(0, +$x.data('scale') || 0)); + r1 = Math.round(r1 * scale); r2 = Math.round(r2 * scale); + var scaleBack = function(x, scale) { + if (scale === 1) return x; + var d = Math.round(Math.log(scale) / Math.log(10)); + // to avoid problems like 3.423/100 -> 0.034230000000000003 + return (x / scale).toFixed(d); + }; + var slider_min = function() { + return filter.noUiSlider('options').range.min; + }; + var slider_max = function() { + return filter.noUiSlider('options').range.max; + }; + $input.on({ + focus: function() { + $x0.show().trigger('show'); + // first, make sure the slider div leaves at least 20px between + // the two (slider value) span's + $x0.width(Math.max(160, $span1.outerWidth() + $span2.outerWidth() + 20)); + // then, if the input is really wide or slider is vertical, + // make the slider the same width as the input + if ($x0.outerWidth() < $input.outerWidth() || data.vertical) { + $x0.outerWidth($input.outerWidth()); + } + // make sure the slider div does not reach beyond the right margin + if ($(window).width() < $x0.offset().left + $x0.width()) { + $x0.offset({ + 'left': $input.offset().left + $input.outerWidth() - $x0.outerWidth() + }); + } + }, + blur: function() { + $x0.hide().trigger('hide'); + }, + input: function() { + if ($input.val() === '') filter.val([slider_min(), slider_max()]); + }, + change: function() { + var v = $input.val().replace(/\s/g, ''); + if (v === '') return; + v = v.split('...'); + if (v.length !== 2) { + $input.parent().addClass('has-error'); + return; + } + if (v[0] === '') v[0] = slider_min(); + if (v[1] === '') v[1] = slider_max(); + $input.parent().removeClass('has-error'); + // treat date as UTC time at midnight + var strTime = function(x) { + var s = type === 'date' ? 'T00:00:00Z' : ''; + var t = new Date(x + s).getTime(); + // add 10 minutes to date since it does not hurt the date, and + // it helps avoid the tricky floating point arithmetic problems, + // e.g. sometimes the date may be a few milliseconds earlier + // than the midnight due to precision problems in noUiSlider + return type === 'date' ? t + 3600000 : t; + }; + if (inArray(type, ['date', 'time'])) { + v[0] = strTime(v[0]); + v[1] = strTime(v[1]); + } + if (v[0] != slider_min()) v[0] *= scale; + if (v[1] != slider_max()) v[1] *= scale; + filter.val(v); + } + }); + var formatDate = function(d) { + d = scaleBack(d, scale); + if (type === 'number') return d; + if (type === 'integer') return parseInt(d); + var x = new Date(+d); + if (type === 'date') { + var pad0 = function(x) { + return ('0' + x).substr(-2, 2); + }; + return x.getUTCFullYear() + '-' + pad0(1 + x.getUTCMonth()) + + '-' + pad0(x.getUTCDate()); + } else { + return x.toISOString(); + } + }; + var opts = type === 'date' ? { step: 60 * 60 * 1000 } : + type === 'integer' ? { step: 1 } : {}; + + opts.orientation = data.vertical ? 'vertical': 'horizontal'; + opts.direction = data.vertical ? 'rtl': 'ltr'; + + filter = $x.noUiSlider($.extend({ + start: [r1, r2], + range: {min: r1, max: r2}, + connect: true + }, opts, data.filterSettings.slider)); + if (scale > 1) (function() { + var t1 = r1, t2 = r2; + var val = filter.val(); + while (val[0] > r1 || val[1] < r2) { + if (val[0] > r1) { + t1 -= val[0] - r1; + } + if (val[1] < r2) { + t2 += r2 - val[1]; + } + filter = $x.noUiSlider($.extend({ + start: [t1, t2], + range: {min: t1, max: t2}, + connect: true + }, opts, data.filterSettings.slider), true); + val = filter.val(); + } + r1 = t1; r2 = t2; + })(); + // format with active column renderer, if defined + var colDef = data.options.columnDefs.find(function(def) { + return (def.targets === i || inArray(i, def.targets)) && 'render' in def; + }); + var updateSliderText = function(v1, v2) { + // we only know how to use function renderers + if (colDef && typeof colDef.render === 'function') { + var restore = function(v) { + v = scaleBack(v, scale); + return inArray(type, ['date', 'time']) ? new Date(+v) : v; + } + $span1.text(colDef.render(restore(v1), 'display')); + $span2.text(colDef.render(restore(v2), 'display')); + } else { + $span1.text(formatDate(v1)); + $span2.text(formatDate(v2)); + } + }; + updateSliderText(r1, r2); + var updateSlider = function(e) { + var val = filter.val(); + // turn off filter if in full range + $td.data('filter', val[0] > slider_min() || val[1] < slider_max()); + var v1 = formatDate(val[0]), v2 = formatDate(val[1]), ival; + if ($td.data('filter')) { + ival = v1 + ' ... ' + v2; + $input.attr('title', ival).val(ival).trigger('input'); + } else { + $input.attr('title', '').val(''); + } + updateSliderText(val[0], val[1]); + if (e.type === 'slide') return; // no searching when sliding only + if (server) { + searchColumn(i, $td.data('filter') ? ival : '').draw(); + return; + } + table.draw(); + }; + filter.on({ + set: updateSlider, + slide: updateSlider + }); + } + + // server-side processing will be handled by R (or whatever server + // language you use); the following code is only needed for client-side + // processing + if (server) { + // if a search string has been pre-set, search now + if (searchCol) $input.trigger('input').trigger('change'); + return; + } + + var customFilter = function(settings, data, dataIndex) { + // there is no way to attach a search function to a specific table, + // and we need to make sure a global search function is not applied to + // all tables (i.e. a range filter in a previous table should not be + // applied to the current table); we use the settings object to + // determine if we want to perform searching on the current table, + // since settings.sTableId will be different to different tables + if (table.settings()[0] !== settings) return true; + // no filter on this column or no need to filter this column + if (typeof filter === 'undefined' || !$td.data('filter')) return true; + + var r = filter.val(), v, r0, r1; + var i_data = function(i) { + if (!colReorderEnabled()) return i; + var order = table.colReorder.order(), k; + for (k = 0; k < order.length; ++k) if (order[k] === i) return k; + return i; // in theory it will never be here... + } + v = data[i_data(i)]; + if (type === 'number' || type === 'integer') { + v = parseFloat(v); + // how to handle NaN? currently exclude these rows + if (isNaN(v)) return(false); + r0 = parseFloat(scaleBack(r[0], scale)) + r1 = parseFloat(scaleBack(r[1], scale)); + if (v >= r0 && v <= r1) return true; + } else if (type === 'date' || type === 'time') { + v = new Date(v); + r0 = new Date(r[0] / scale); r1 = new Date(r[1] / scale); + if (v >= r0 && v <= r1) return true; + } else if (type === 'factor') { + if (r.length === 0 || inArray(v, r)) return true; + } else if (type === 'logical') { + if (r.length === 0) return true; + if (inArray(v === '' ? 'na' : v, r)) return true; + } + return false; + }; + + $.fn.dataTable.ext.search.push(customFilter); + + // search for the preset search strings if it is non-empty + if (searchCol) $input.trigger('input').trigger('change'); + + }); + + } + + // highlight search keywords + var highlight = function() { + var body = $(table.table().body()); + // removing the old highlighting first + body.unhighlight(); + + // don't highlight the "not found" row, so we get the rows using the api + if (table.rows({ filter: 'applied' }).data().length === 0) return; + // highlight global search keywords + body.highlight($.trim(table.search()).split(/\s+/)); + // then highlight keywords from individual column filters + if (filterRow) filterRow.each(function(i, td) { + var $td = $(td), type = $td.data('type'); + if (type !== 'character') return; + var $input = $td.children('div').first().children('input'); + var column = table.column(i).nodes().to$(), + val = $.trim($input.val()); + if (type !== 'character' || val === '') return; + column.highlight(val.split(/\s+/)); + }); + }; + + if (options.searchHighlight) { + table + .on('draw.dt.dth column-visibility.dt.dth column-reorder.dt.dth', highlight) + .on('destroy', function() { + // remove event handler + table.off('draw.dt.dth column-visibility.dt.dth column-reorder.dt.dth'); + }); + + // Set the option for escaping regex characters in our search string. This will be used + // for all future matching. + jQuery.fn.highlight.options.escapeRegex = (!options.search || !options.search.regex); + + // initial highlight for state saved conditions and initial states + highlight(); + } + + // run the callback function on the table instance + if (typeof data.callback === 'function') data.callback(table); + + // double click to edit the cell, row, column, or all cells + if (data.editable) table.on('dblclick.dt', 'tbody td', function(e) { + // only bring up the editor when the cell itself is dbclicked, and ignore + // other dbclick events bubbled up (e.g. from the ) + if (e.target !== this) return; + var target = [], immediate = false; + switch (data.editable.target) { + case 'cell': + target = [this]; + immediate = true; // edit will take effect immediately + break; + case 'row': + target = table.cells(table.cell(this).index().row, '*').nodes(); + break; + case 'column': + target = table.cells('*', table.cell(this).index().column).nodes(); + break; + case 'all': + target = table.cells().nodes(); + break; + default: + throw 'The editable parameter must be "cell", "row", "column", or "all"'; + } + var disableCols = data.editable.disable ? data.editable.disable.columns : null; + var numericCols = data.editable.numeric; + var areaCols = data.editable.area; + var dateCols = data.editable.date; + for (var i = 0; i < target.length; i++) { + (function(cell, current) { + var $cell = $(cell), html = $cell.html(); + var _cell = table.cell(cell), value = _cell.data(), index = _cell.index().column; + var $input; + if (inArray(index, numericCols)) { + $input = $(''); + } else if (inArray(index, areaCols)) { + $input = $(''); + } else if (inArray(index, dateCols)) { + $input = $(''); + } else { + $input = $(''); + } + if (!immediate) { + $cell.data('input', $input).data('html', html); + $input.attr('title', 'Hit Ctrl+Enter to finish editing, or Esc to cancel'); + } + $input.val(value); + if (inArray(index, disableCols)) { + $input.attr('readonly', '').css('filter', 'invert(25%)'); + } + $cell.empty().append($input); + if (cell === current) $input.focus(); + $input.css('width', '100%'); + + if (immediate) $input.on('blur', function(e) { + var valueNew = $input.val(); + if (valueNew !== value) { + _cell.data(valueNew); + if (HTMLWidgets.shinyMode) { + changeInput('cell_edit', [cellInfo(cell)], 'DT.cellInfo', null, {priority: 'event'}); + } + // for server-side processing, users have to call replaceData() to update the table + if (!server) table.draw(false); + } else { + $cell.html(html); + } + }).on('keyup', function(e) { + // hit Escape to cancel editing + if (e.keyCode === 27) $input.trigger('blur'); + }); + + // bulk edit (row, column, or all) + if (!immediate) $input.on('keyup', function(e) { + var removeInput = function($cell, restore) { + $cell.data('input').remove(); + if (restore) $cell.html($cell.data('html')); + } + if (e.keyCode === 27) { + for (var i = 0; i < target.length; i++) { + removeInput($(target[i]), true); + } + } else if (e.keyCode === 13 && e.ctrlKey) { + // Ctrl + Enter + var cell, $cell, _cell, cellData = []; + for (var i = 0; i < target.length; i++) { + cell = target[i]; $cell = $(cell); _cell = table.cell(cell); + _cell.data($cell.data('input').val()); + HTMLWidgets.shinyMode && cellData.push(cellInfo(cell)); + removeInput($cell, false); + } + if (HTMLWidgets.shinyMode) { + changeInput('cell_edit', cellData, 'DT.cellInfo', null, {priority: "event"}); + } + if (!server) table.draw(false); + } + }); + })(target[i], this); + } + }); + + // interaction with shiny + if (!HTMLWidgets.shinyMode && !crosstalkOptions.group) return; + + var methods = {}; + var shinyData = {}; + + methods.updateCaption = function(caption) { + if (!caption) return; + $table.children('caption').replaceWith(caption); + } + + // register clear functions to remove input values when the table is removed + instance.clearInputs = {}; + + var changeInput = function(id, value, type, noCrosstalk, opts) { + var event = id; + id = el.id + '_' + id; + if (type) id = id + ':' + type; + // do not update if the new value is the same as old value + if (event !== 'cell_edit' && !/_clicked$/.test(event) && shinyData.hasOwnProperty(id) && shinyData[id] === JSON.stringify(value)) + return; + shinyData[id] = JSON.stringify(value); + if (HTMLWidgets.shinyMode && Shiny.setInputValue) { + Shiny.setInputValue(id, value, opts); + if (!instance.clearInputs[id]) instance.clearInputs[id] = function() { + Shiny.setInputValue(id, null); + } + } + + // HACK + if (event === "rows_selected" && !noCrosstalk) { + if (crosstalkOptions.group) { + var keys = crosstalkOptions.key; + var selectedKeys = null; + if (value) { + selectedKeys = []; + for (var i = 0; i < value.length; i++) { + // The value array's contents use 1-based row numbers, so we must + // convert to 0-based before indexing into the keys array. + selectedKeys.push(keys[value[i] - 1]); + } + } + instance.ctselectHandle.set(selectedKeys); + } + } + }; + + var addOne = function(x) { + return x.map(function(i) { return 1 + i; }); + }; + + var unique = function(x) { + var ux = []; + $.each(x, function(i, el){ + if ($.inArray(el, ux) === -1) ux.push(el); + }); + return ux; + } + + // change the row index of a cell + var tweakCellIndex = function(cell) { + var info = cell.index(); + // some cell may not be valid. e.g, #759 + // when using the RowGroup extension, datatables will + // generate the row label and the cells are not part of + // the data thus contain no row/col info + if (info === undefined) + return {row: null, col: null}; + if (server) { + info.row = DT_rows_current[info.row]; + } else { + info.row += 1; + } + return {row: info.row, col: info.column}; + } + + var cleanSelectedValues = function() { + changeInput('rows_selected', []); + changeInput('columns_selected', []); + changeInput('cells_selected', transposeArray2D([]), 'shiny.matrix'); + } + // #828 we should clean the selection on the server-side when the table reloads + cleanSelectedValues(); + + // a flag to indicates if select extension is initialized or not + var flagSelectExt = table.settings()[0]._select !== undefined; + // the Select extension should only be used in the client mode and + // when the selection.mode is set to none + if (data.selection.mode === 'none' && !server && flagSelectExt) { + var updateRowsSelected = function() { + var rows = table.rows({selected: true}); + var selected = []; + $.each(rows.indexes().toArray(), function(i, v) { + selected.push(v + 1); + }); + changeInput('rows_selected', selected); + } + var updateColsSelected = function() { + var columns = table.columns({selected: true}); + changeInput('columns_selected', columns.indexes().toArray()); + } + var updateCellsSelected = function() { + var cells = table.cells({selected: true}); + var selected = []; + cells.every(function() { + var row = this.index().row; + var col = this.index().column; + selected = selected.concat([[row + 1, col]]); + }); + changeInput('cells_selected', transposeArray2D(selected), 'shiny.matrix'); + } + table.on('select deselect', function(e, dt, type, indexes) { + updateRowsSelected(); + updateColsSelected(); + updateCellsSelected(); + }) + updateRowsSelected(); + updateColsSelected(); + updateCellsSelected(); + } + + var selMode = data.selection.mode, selTarget = data.selection.target; + var selDisable = data.selection.selectable === false; + if (inArray(selMode, ['single', 'multiple'])) { + var selClass = inArray(data.style, ['bootstrap', 'bootstrap4']) ? 'active' : 'selected'; + // selected1: row indices; selected2: column indices + var initSel = function(x) { + if (x === null || typeof x === 'boolean' || selTarget === 'cell') { + return {rows: [], cols: []}; + } else if (selTarget === 'row') { + return {rows: $.makeArray(x), cols: []}; + } else if (selTarget === 'column') { + return {rows: [], cols: $.makeArray(x)}; + } else if (selTarget === 'row+column') { + return {rows: $.makeArray(x.rows), cols: $.makeArray(x.cols)}; + } + } + var selected = data.selection.selected; + var selected1 = initSel(selected).rows, selected2 = initSel(selected).cols; + // selectable should contain either all positive or all non-positive values, not both + // positive values indicate "selectable" while non-positive values means "nonselectable" + // the assertion is performed on R side. (only column indicides could be zero which indicates + // the row name) + var selectable = data.selection.selectable; + var selectable1 = initSel(selectable).rows, selectable2 = initSel(selectable).cols; + + // After users reorder the rows or filter the table, we cannot use the table index + // directly. Instead, we need this function to find out the rows between the two clicks. + // If user filter the table again between the start click and the end click, the behavior + // would be undefined, but it should not be a problem. + var shiftSelRowsIndex = function(start, end) { + var indexes = server ? DT_rows_all : table.rows({ search: 'applied' }).indexes().toArray(); + start = indexes.indexOf(start); end = indexes.indexOf(end); + // if start is larger than end, we need to swap + if (start > end) { + var tmp = end; end = start; start = tmp; + } + return indexes.slice(start, end + 1); + } + + var serverRowIndex = function(clientRowIndex) { + return server ? DT_rows_current[clientRowIndex] : clientRowIndex + 1; + } + + // row, column, or cell selection + var lastClickedRow; + if (inArray(selTarget, ['row', 'row+column'])) { + // Get the current selected rows. It will also + // update the selected1's value based on the current row selection state + // Note we can't put this function inside selectRows() directly, + // the reason is method.selectRows() will override selected1's value but this + // function will add rows to selected1 (keep the existing selection), which is + // inconsistent with column and cell selection. + var selectedRows = function() { + var rows = table.rows('.' + selClass); + var idx = rows.indexes().toArray(); + if (!server) { + selected1 = addOne(idx); + return selected1; + } + idx = idx.map(function(i) { + return DT_rows_current[i]; + }); + selected1 = selMode === 'multiple' ? unique(selected1.concat(idx)) : idx; + return selected1; + } + // Change selected1's value based on selectable1, then refresh the row state + var onlyKeepSelectableRows = function() { + if (selDisable) { // users can't select; useful when only want backend select + selected1 = []; + return; + } + if (selectable1.length === 0) return; + var nonselectable = selectable1[0] <= 0; + if (nonselectable) { + // should make selectable1 positive + selected1 = $(selected1).not(selectable1.map(function(i) { return -i; })).get(); + } else { + selected1 = $(selected1).filter(selectable1).get(); + } + } + // Change selected1's value based on selectable1, then + // refresh the row selection state according to values in selected1 + var selectRows = function(ignoreSelectable) { + if (!ignoreSelectable) onlyKeepSelectableRows(); + table.$('tr.' + selClass).removeClass(selClass); + if (selected1.length === 0) return; + if (server) { + table.rows({page: 'current'}).every(function() { + if (inArray(DT_rows_current[this.index()], selected1)) { + $(this.node()).addClass(selClass); + } + }); + } else { + var selected0 = selected1.map(function(i) { return i - 1; }); + $(table.rows(selected0).nodes()).addClass(selClass); + } + } + table.on('mousedown.dt', 'tbody tr', function(e) { + var $this = $(this), thisRow = table.row(this); + if (selMode === 'multiple') { + if (e.shiftKey && lastClickedRow !== undefined) { + // select or de-select depends on the last clicked row's status + var flagSel = !$this.hasClass(selClass); + var crtClickedRow = serverRowIndex(thisRow.index()); + if (server) { + var rowsIndex = shiftSelRowsIndex(lastClickedRow, crtClickedRow); + // update current page's selClass + rowsIndex.map(function(i) { + var rowIndex = DT_rows_current.indexOf(i); + if (rowIndex >= 0) { + var row = table.row(rowIndex).nodes().to$(); + var flagRowSel = !row.hasClass(selClass); + if (flagSel === flagRowSel) row.toggleClass(selClass); + } + }); + // update selected1 + if (flagSel) { + selected1 = unique(selected1.concat(rowsIndex)); + } else { + selected1 = selected1.filter(function(index) { + return !inArray(index, rowsIndex); + }); + } + } else { + // js starts from 0 + shiftSelRowsIndex(lastClickedRow - 1, crtClickedRow - 1).map(function(value) { + var row = table.row(value).nodes().to$(); + var flagRowSel = !row.hasClass(selClass); + if (flagSel === flagRowSel) row.toggleClass(selClass); + }); + } + e.preventDefault(); + } else { + $this.toggleClass(selClass); + } + } else { + if ($this.hasClass(selClass)) { + $this.removeClass(selClass); + } else { + table.$('tr.' + selClass).removeClass(selClass); + $this.addClass(selClass); + } + } + if (server && !$this.hasClass(selClass)) { + var id = DT_rows_current[thisRow.index()]; + // remove id from selected1 since its class .selected has been removed + if (inArray(id, selected1)) selected1.splice($.inArray(id, selected1), 1); + } + selectedRows(); // update selected1's value based on selClass + selectRows(false); // only keep the selectable rows + changeInput('rows_selected', selected1); + changeInput('row_last_clicked', serverRowIndex(thisRow.index()), null, null, {priority: 'event'}); + lastClickedRow = serverRowIndex(thisRow.index()); + }); + selectRows(false); // in case users have specified pre-selected rows + // restore selected rows after the table is redrawn (e.g. sort/search/page); + // client-side tables will preserve the selections automatically; for + // server-side tables, we have to *real* row indices are in `selected1` + changeInput('rows_selected', selected1); + if (server) table.on('draw.dt', function(e) { selectRows(false); }); + methods.selectRows = function(selected, ignoreSelectable) { + selected1 = $.makeArray(selected); + selectRows(ignoreSelectable); + changeInput('rows_selected', selected1); + } + } + + if (inArray(selTarget, ['column', 'row+column'])) { + if (selTarget === 'row+column') { + $(table.columns().footer()).css('cursor', 'pointer'); + } + // update selected2's value based on selectable2 + var onlyKeepSelectableCols = function() { + if (selDisable) { // users can't select; useful when only want backend select + selected2 = []; + return; + } + if (selectable2.length === 0) return; + var nonselectable = selectable2[0] <= 0; + if (nonselectable) { + // need to make selectable2 positive + selected2 = $(selected2).not(selectable2.map(function(i) { return -i; })).get(); + } else { + selected2 = $(selected2).filter(selectable2).get(); + } + } + // update selected2 and then + // refresh the col selection state according to values in selected2 + var selectCols = function(ignoreSelectable) { + if (!ignoreSelectable) onlyKeepSelectableCols(); + // if selected2 is not a valide index (e.g., larger than the column number) + // table.columns(selected2) will fail and result in a blank table + // this is different from the table.rows(), where the out-of-range indexes + // doesn't affect at all + selected2 = $(selected2).filter(table.columns().indexes()).get(); + table.columns().nodes().flatten().to$().removeClass(selClass); + if (selected2.length > 0) + table.columns(selected2).nodes().flatten().to$().addClass(selClass); + } + var callback = function() { + var colIdx = selTarget === 'column' ? table.cell(this).index().column : + $.inArray(this, table.columns().footer()), + thisCol = $(table.column(colIdx).nodes()); + if (colIdx === -1) return; + if (thisCol.hasClass(selClass)) { + thisCol.removeClass(selClass); + selected2.splice($.inArray(colIdx, selected2), 1); + } else { + if (selMode === 'single') $(table.cells().nodes()).removeClass(selClass); + thisCol.addClass(selClass); + selected2 = selMode === 'single' ? [colIdx] : unique(selected2.concat([colIdx])); + } + selectCols(false); // update selected2 based on selectable + changeInput('columns_selected', selected2); + } + if (selTarget === 'column') { + $(table.table().body()).on('click.dt', 'td', callback); + } else { + $(table.table().footer()).on('click.dt', 'tr th', callback); + } + selectCols(false); // in case users have specified pre-selected columns + changeInput('columns_selected', selected2); + if (server) table.on('draw.dt', function(e) { selectCols(false); }); + methods.selectColumns = function(selected, ignoreSelectable) { + selected2 = $.makeArray(selected); + selectCols(ignoreSelectable); + changeInput('columns_selected', selected2); + } + } + + if (selTarget === 'cell') { + var selected3 = [], selectable3 = []; + if (selected !== null) selected3 = selected; + if (selectable !== null && typeof selectable !== 'boolean') selectable3 = selectable; + var findIndex = function(ij, sel) { + for (var i = 0; i < sel.length; i++) { + if (ij[0] === sel[i][0] && ij[1] === sel[i][1]) return i; + } + return -1; + } + // Change selected3's value based on selectable3, then refresh the cell state + var onlyKeepSelectableCells = function() { + if (selDisable) { // users can't select; useful when only want backend select + selected3 = []; + return; + } + if (selectable3.length === 0) return; + var nonselectable = selectable3[0][0] <= 0; + var out = []; + if (nonselectable) { + selected3.map(function(ij) { + // should make selectable3 positive + if (findIndex([-ij[0], -ij[1]], selectable3) === -1) { out.push(ij); } + }); + } else { + selected3.map(function(ij) { + if (findIndex(ij, selectable3) > -1) { out.push(ij); } + }); + } + selected3 = out; + } + // Change selected3's value based on selectable3, then + // refresh the cell selection state according to values in selected3 + var selectCells = function(ignoreSelectable) { + if (!ignoreSelectable) onlyKeepSelectableCells(); + table.$('td.' + selClass).removeClass(selClass); + if (selected3.length === 0) return; + if (server) { + table.cells({page: 'current'}).every(function() { + var info = tweakCellIndex(this); + if (findIndex([info.row, info.col], selected3) > -1) + $(this.node()).addClass(selClass); + }); + } else { + selected3.map(function(ij) { + $(table.cell(ij[0] - 1, ij[1]).node()).addClass(selClass); + }); + } + }; + table.on('click.dt', 'tbody td', function() { + var $this = $(this), info = tweakCellIndex(table.cell(this)); + if ($this.hasClass(selClass)) { + $this.removeClass(selClass); + selected3.splice(findIndex([info.row, info.col], selected3), 1); + } else { + if (selMode === 'single') $(table.cells().nodes()).removeClass(selClass); + $this.addClass(selClass); + selected3 = selMode === 'single' ? [[info.row, info.col]] : + unique(selected3.concat([[info.row, info.col]])); + } + selectCells(false); // must call this to update selected3 based on selectable3 + changeInput('cells_selected', transposeArray2D(selected3), 'shiny.matrix'); + }); + selectCells(false); // in case users have specified pre-selected columns + changeInput('cells_selected', transposeArray2D(selected3), 'shiny.matrix'); + + if (server) table.on('draw.dt', function(e) { selectCells(false); }); + methods.selectCells = function(selected, ignoreSelectable) { + selected3 = selected ? selected : []; + selectCells(ignoreSelectable); + changeInput('cells_selected', transposeArray2D(selected3), 'shiny.matrix'); + } + } + } + + // expose some table info to Shiny + var updateTableInfo = function(e, settings) { + // TODO: is anyone interested in the page info? + // changeInput('page_info', table.page.info()); + var updateRowInfo = function(id, modifier) { + var idx; + if (server) { + idx = modifier.page === 'current' ? DT_rows_current : DT_rows_all; + } else { + var rows = table.rows($.extend({ + search: 'applied', + page: 'all' + }, modifier)); + idx = addOne(rows.indexes().toArray()); + } + changeInput('rows' + '_' + id, idx); + }; + updateRowInfo('current', {page: 'current'}); + updateRowInfo('all', {}); + } + table.on('draw.dt', updateTableInfo); + updateTableInfo(); + + // state info + table.on('draw.dt column-visibility.dt', function() { + changeInput('state', table.state()); + }); + changeInput('state', table.state()); + + // search info + var updateSearchInfo = function() { + changeInput('search', table.search()); + if (filterRow) changeInput('search_columns', filterRow.toArray().map(function(td) { + return $(td).find('input').first().val(); + })); + } + table.on('draw.dt', updateSearchInfo); + updateSearchInfo(); + + var cellInfo = function(thiz) { + var info = tweakCellIndex(table.cell(thiz)); + info.value = table.cell(thiz).data(); + return info; + } + // the current cell clicked on + table.on('click.dt', 'tbody td', function() { + changeInput('cell_clicked', cellInfo(this), null, null, {priority: 'event'}); + }) + changeInput('cell_clicked', {}); + + // do not trigger table selection when clicking on links unless they have classes + table.on('mousedown.dt', 'tbody td a', function(e) { + if (this.className === '') e.stopPropagation(); + }); + + methods.addRow = function(data, rowname, resetPaging) { + var n = table.columns().indexes().length, d = n - data.length; + if (d === 1) { + data = rowname.concat(data) + } else if (d !== 0) { + console.log(data); + console.log(table.columns().indexes()); + throw 'New data must be of the same length as current data (' + n + ')'; + }; + table.row.add(data).draw(resetPaging); + } + + methods.updateSearch = function(keywords) { + if (keywords.global !== null) + $(table.table().container()).find('input[type=search]').first() + .val(keywords.global).trigger('input'); + var columns = keywords.columns; + if (!filterRow || columns === null) return; + filterRow.toArray().map(function(td, i) { + var v = typeof columns === 'string' ? columns : columns[i]; + if (typeof v === 'undefined') { + console.log('The search keyword for column ' + i + ' is undefined') + return; + } + // Update column search string and values on linked filter widgets. + // 'input' for factor and char filters, 'change' for numeric filters. + $(td).find('input').first().val(v).trigger('input', [true]).trigger('change'); + }); + table.draw(); + } + + methods.hideCols = function(hide, reset) { + if (reset) table.columns().visible(true, false); + table.columns(hide).visible(false); + } + + methods.showCols = function(show, reset) { + if (reset) table.columns().visible(false, false); + table.columns(show).visible(true); + } + + methods.colReorder = function(order, origOrder) { + table.colReorder.order(order, origOrder); + } + + methods.selectPage = function(page) { + if (table.page.info().pages < page || page < 1) { + throw 'Selected page is out of range'; + }; + table.page(page - 1).draw(false); + } + + methods.reloadData = function(resetPaging, clearSelection) { + // empty selections first if necessary + if (methods.selectRows && inArray('row', clearSelection)) methods.selectRows([]); + if (methods.selectColumns && inArray('column', clearSelection)) methods.selectColumns([]); + if (methods.selectCells && inArray('cell', clearSelection)) methods.selectCells([]); + table.ajax.reload(null, resetPaging); + } + + // update table filters (set new limits of sliders) + methods.updateFilters = function(newProps) { + // loop through each filter in the filter row + filterRow.each(function(i, td) { + var k = i; + if (filterRow.length > newProps.length) { + if (i === 0) return; // first column is row names + k = i - 1; + } + // Update the filters to reflect the updated data. + // Allow "falsy" (e.g. NULL) to signify a no-op. + if (newProps[k]) { + setFilterProps(td, newProps[k]); + } + }); + }; + + table.shinyMethods = methods; + }, + resize: function(el, width, height, instance) { + if (instance.data) this.renderValue(el, instance.data, instance); + + // dynamically adjust height if fillContainer = TRUE + if (instance.fillContainer) + this.fillAvailableHeight(el, height); + + this.adjustWidth(el); + }, + + // dynamically set the scroll body to fill available height + // (used with fillContainer = TRUE) + fillAvailableHeight: function(el, availableHeight) { + + // see how much of the table is occupied by header/footer elements + // and use that to compute a target scroll body height + var dtWrapper = $(el).find('div.dataTables_wrapper'); + var dtScrollBody = $(el).find($('div.dataTables_scrollBody')); + var framingHeight = dtWrapper.innerHeight() - dtScrollBody.innerHeight(); + var scrollBodyHeight = availableHeight - framingHeight; + + // we need to set `max-height` to none as datatables library now sets this + // to a fixed height, disabling the ability to resize to fill the window, + // as it will be set to a fixed 100px under such circumstances, e.g., RStudio IDE, + // or FlexDashboard + // see https://github.com/rstudio/DT/issues/951#issuecomment-1026464509 + dtScrollBody.css('max-height', 'none'); + // set the height + dtScrollBody.height(scrollBodyHeight + 'px'); + }, + + // adjust the width of columns; remove the hard-coded widths on table and the + // scroll header when scrollX/Y are enabled + adjustWidth: function(el) { + var $el = $(el), table = $el.data('datatable'); + if (table) table.columns.adjust(); + $el.find('.dataTables_scrollHeadInner').css('width', '') + .children('table').css('margin-left', ''); + } +}); + + if (!HTMLWidgets.shinyMode) return; + + Shiny.addCustomMessageHandler('datatable-calls', function(data) { + var id = data.id; + var el = document.getElementById(id); + var table = el ? $(el).data('datatable') : null; + if (!table) { + console.log("Couldn't find table with id " + id); + return; + } + + var methods = table.shinyMethods, call = data.call; + if (methods[call.method]) { + methods[call.method].apply(table, call.args); + } else { + console.log("Unknown method " + call.method); + } + }); + +})(); diff --git a/content/posts/2024-07-31-data-dictionary/index_files/datatables-css/datatables-crosstalk.css b/content/posts/2024-07-31-data-dictionary/index_files/datatables-css/datatables-crosstalk.css new file mode 100644 index 0000000..bd1159c --- /dev/null +++ b/content/posts/2024-07-31-data-dictionary/index_files/datatables-css/datatables-crosstalk.css @@ -0,0 +1,32 @@ +.dt-crosstalk-fade { + opacity: 0.2; +} + +html body div.DTS div.dataTables_scrollBody { + background: none; +} + + +/* +Fix https://github.com/rstudio/DT/issues/563 +If the `table.display` is set to "block" (e.g., pkgdown), the browser will display +datatable objects strangely. The search panel and the page buttons will still be +in full-width but the table body will be "compact" and shorter. +In therory, having this attributes will affect `dom="t"` +with `display: block` users. But in reality, there should be no one. +We may remove the below lines in the future if the upstream agree to have this there. +See https://github.com/DataTables/DataTablesSrc/issues/160 +*/ + +table.dataTable { + display: table; +} + + +/* +When DTOutput(fill = TRUE), it receives a .html-fill-item class (via htmltools::bindFillRole()), which effectively amounts to `flex: 1 1 auto`. That's mostly fine, but the case where `fillContainer=TRUE`+`height:auto`+`flex-basis:auto` and the container (e.g., a bslib::card()) doesn't have a defined height is a bit problematic since the table wants to fit the parent but the parent wants to fit the table, which results pretty small table height (maybe because there is a minimum height somewhere?). It seems better in this case to impose a 400px height default for the table, which we can do by setting `flex-basis` to 400px (the table is still allowed to grow/shrink when the container has an opinionated height). +*/ + +.html-fill-container > .html-fill-item.datatables { + flex-basis: 400px; +} diff --git a/content/posts/2024-07-31-data-dictionary/index_files/dt-core/css/jquery.dataTables.extra.css b/content/posts/2024-07-31-data-dictionary/index_files/dt-core/css/jquery.dataTables.extra.css new file mode 100644 index 0000000..b2dd141 --- /dev/null +++ b/content/posts/2024-07-31-data-dictionary/index_files/dt-core/css/jquery.dataTables.extra.css @@ -0,0 +1,28 @@ +/* Selected rows/cells */ +table.dataTable tr.selected td, table.dataTable td.selected { + background-color: #b0bed9 !important; +} +/* In case of scrollX/Y or FixedHeader */ +.dataTables_scrollBody .dataTables_sizing { + visibility: hidden; +} + +/* The datatables' theme CSS file doesn't define +the color but with white background. It leads to an issue that +when the HTML's body color is set to 'white', the user can't +see the text since the background is white. One case happens in the +RStudio's IDE when inline viewing the DT table inside an Rmd file, +if the IDE theme is set to "Cobalt". + +See https://github.com/rstudio/DT/issues/447 for more info + +This fixes should have little side-effects because all the other elements +of the default theme use the #333 font color. + +TODO: The upstream may use relative colors for both the table background +and the color. It means the table can display well without this patch +then. At that time, we need to remove the below CSS attributes. +*/ +div.datatables { + color: #333; +} diff --git a/content/posts/2024-07-31-data-dictionary/index_files/dt-core/css/jquery.dataTables.min.css b/content/posts/2024-07-31-data-dictionary/index_files/dt-core/css/jquery.dataTables.min.css new file mode 100644 index 0000000..ad59f84 --- /dev/null +++ b/content/posts/2024-07-31-data-dictionary/index_files/dt-core/css/jquery.dataTables.min.css @@ -0,0 +1 @@ +:root{--dt-row-selected: 13, 110, 253;--dt-row-selected-text: 255, 255, 255;--dt-row-selected-link: 9, 10, 11;--dt-row-stripe: 0, 0, 0;--dt-row-hover: 0, 0, 0;--dt-column-ordering: 0, 0, 0;--dt-html-background: white}:root.dark{--dt-html-background: rgb(33, 37, 41)}table.dataTable td.dt-control{text-align:center;cursor:pointer}table.dataTable td.dt-control:before{display:inline-block;color:rgba(0, 0, 0, 0.5);content:"►"}table.dataTable tr.dt-hasChild td.dt-control:before{content:"▼"}html.dark table.dataTable 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.paginate_button:active{background:#3a3a3a} diff --git a/content/posts/2024-07-31-data-dictionary/index_files/dt-core/js/jquery.dataTables.min.js b/content/posts/2024-07-31-data-dictionary/index_files/dt-core/js/jquery.dataTables.min.js new file mode 100644 index 0000000..f786b0d --- /dev/null +++ b/content/posts/2024-07-31-data-dictionary/index_files/dt-core/js/jquery.dataTables.min.js @@ -0,0 +1,4 @@ +/*! DataTables 1.13.6 + * ©2008-2023 SpryMedia Ltd - datatables.net/license + */ +!function(n){"use strict";var a;"function"==typeof define&&define.amd?define(["jquery"],function(t){return n(t,window,document)}):"object"==typeof exports?(a=require("jquery"),"undefined"==typeof window?module.exports=function(t,e){return t=t||window,e=e||a(t),n(e,t,t.document)}:n(a,window,window.document)):window.DataTable=n(jQuery,window,document)}(function(P,j,v,H){"use strict";function d(t){var e=parseInt(t,10);return!isNaN(e)&&isFinite(t)?e:null}function l(t,e,n){var a=typeof t,r="string"==a;return"number"==a||"bigint"==a||!!h(t)||(e&&r&&(t=$(t,e)),n&&r&&(t=t.replace(q,"")),!isNaN(parseFloat(t))&&isFinite(t))}function a(t,e,n){var a;return!!h(t)||(h(a=t)||"string"==typeof a)&&!!l(t.replace(V,"").replace(/ + + Data Dictionary - The Median Duck + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +

vires in notitia

+ + +
+
+
+

Data Dictionary

+
Posted on Jul 31, 2024 DRAFT
+
+ + +
+ +
+ +
+ + + + +
+ + + + +
+
+ +
+ + diff --git a/public/2024/07/data-quality-musings/index.html b/public/2024/07/data-quality-musings/index.html index 1395d29..e7c3e23 100644 --- a/public/2024/07/data-quality-musings/index.html +++ b/public/2024/07/data-quality-musings/index.html @@ -32,7 +32,7 @@ - + diff --git a/public/2024/07/database-connection/index.Rmarkdown b/public/2024/07/database-connection/index.Rmarkdown new file mode 100644 index 0000000..483d649 --- /dev/null +++ b/public/2024/07/database-connection/index.Rmarkdown @@ -0,0 +1,163 @@ +--- +title: 'Strength in Data: Connecting to the Taskmaster Database' +author: Christopher Nam +date: '2024-07-10' +keywords: ["intro", "setup"] +slug: database-connection +section: + - intro + - setup + - data +series: "Strength in Data" +tags: ["Strength in Data", "Beginner"] +draft: no +output: + blogdown::html_page: + toc: true + toc_depth: 2 + number_sections: true + df_print: "default" +--- + +```{r setup, include=FALSE, echo = FALSE} +knitr::opts_chunk$set(echo = TRUE, root.dir = "../", + tidy = TRUE + ) +options(width = 1000) +``` + +# Your Task + +> Successfully connect to the Taskmaster database from within `R`. Fastest wins; your time starts now! + +This article provides an overview of *Trabajo de las Mesas*, a pivotal database that will be central to this project. + +The article will also provide guidance on how to connect to the database from within `R`. + +# *Trabajo de las Mesas* Database + +[*Trabajo de las Mesas*](https://tdlm.fly.dev/) (TdlM [^1]) provides a plethora of data associated with Taskmaster in a database format. Data included in the database includes information pertaining to a series, episode, conntestant, task attempts, and even profanity uttered by a contestant. + +[^1]: Taskmaster fanatics will know that this is in reference to the hint in S2E5's task *Build a bridge for the potato.*, which has since become one of key pieces of advice for all Taskmaster contestants. It has been suitably adapted for working on data tables in a database, rather than a piece of furniture. + +The exhaustive nature of the data truly opens the door to potential questions we may want to answer in the Taskmaster universe. For this reasons, I am immensely grateful to the contributors of this project. + +For some musings on TdlM, data quality and assumptions made, see this [post](/themedianduck/2024/07/data-quality-musings/). + +# Connecting to the Database from `R` + +## Downloading the `.db` file + +It is possible to view and query these the numerous tables in TdlM from the [website itself](https://tdlm.fly.dev/). However, this does not lead intuitively to repeatable and reproduceable analysis. Connecting to the database from a (statistical) programming language such as `R` or `python`, naturally leads to repeatablility and reproduceability. + +I am opting choosing to choose `R` for this project due to my familarity with it, and the high level visualisations and modelling that can be employed. + +The tables displayed on the website are powered from the following [database file](https://tdlm.fly.dev/taskmaster.db) which can downloaded and stored locally. The following code chunk downloads the database file locally (based on the repo directory); a corresponding folder location will be created if it does not already exist. + +```{r download, message = FALSE} +library(here) #library to help with identifying the repo working directory + +# URL where Database file resides. We will download from here. +db_url <- "https://tdlm.fly.dev/taskmaster.db" + +# Where the data will be stored locally +db_file_name <- "taskmaster.db" +data_dir <- here("static", "data") + +db_data_location <- file.path(data_dir, db_file_name) + + +# Create Data Directory if does not exist +if(!file.exists(file.path(data_dir))){ + dir.create(file.path(data_dir)) +} + +# Download file specified by URL, save in the local destination. +if(!file.exists(db_data_location)){ + download.file(url = db_url, destfile = db_data_location, mode = "wb") +} + +``` + +## Connecting to the `.db` file + +Now that the database file has been downloaded successfully, we can start to connect to it from `R` directory. The `DBI` package will be employed to establish this connection. + +```{r db_connect} +package_name <- "RSQLite" + +# Install packages if does not exist, then load. +if(!require(package_name, character.only = TRUE)){ + install.packages(package_name, character.only = TRUE) +} else{ + library(package_name, character.only = TRUE) +} + + +# Driver used to establish database connection +sqlite_driver <- dbDriver("SQLite") + +# Making the connection +tm_db <- dbConnect(sqlite_driver, dbname = db_data_location) + +``` + +If successful, we should be able to list all the tables included in the database. + +```{r list_tables} +# List all tables that are available in the database +dbListTables(tm_db) +``` + +## Querying the Database +With the database connection established, we are able to write queries and execute them directly from `R` to access the data. For example: + +### A Basic `SELECT` query + +```{r cols.print=25, series_output} + +# A Basic Select query on the series table. +query <- "SELECT * FROM series LIMIT 10" + +dbGetQuery(tm_db, query) +``` + +### Advanced query + +A more involved query involving `JOIN` and date manipulation is also possible. + +```{r max.print=25, advanced_query} +# A join, and data manipulation +query <- "SELECT ts.name, +ts.special as special_flag, +tp.name as champion_name, +tp.seat as chamption_seat, +DATE(ts.studio_end) as studio_end, +DATE(ts.air_start) as air_start, +-- Days between air start date, and last studio record date +JULIANDAY(ts.air_start) - JULIANDAY(ts.studio_end) as broadcast_lag_days +FROM series ts -- Series information +LEFT JOIN people tp -- People/Contestant information + ON ts.id = tp.series + AND ts.champion = tp.id +WHERE ts.special <> 1 -- Consider regular series +" + +results <- dbGetQuery(tm_db, query) + +results +``` + +```{r longest_lag, include = FALSE} +longest_lag_df <- results[which.max(results$broadcast_lag_days),] +``` + +# A recording to airing insight... +The results of this query already indicate interesting insights; `r longest_lag_df$name` has the largest known delay between studio recording and airing of `r longest_lag_df$broadcast_lag_days` days (approximately `r round(longest_lag_df$broadcast_lag_days/7)` weeks). This is a noticeable deviation from prior series. Future series also seem delayed, although to a lesser extent. + +**Potential followup questions:** +- Could the 2020 pandemic have initiated this lag? +- Were there other production changes that led to this lag? + +# Times Up! +And that concludes this task! Hopefully you've been able to connect to the TdlM database directly through `R` and potentially inspired to start performing your own analysis. diff --git a/public/2024/07/database-connection/index.html b/public/2024/07/database-connection/index.html new file mode 100644 index 0000000..8e90951 --- /dev/null +++ b/public/2024/07/database-connection/index.html @@ -0,0 +1,282 @@ + + + + Strength in Data: Connecting to the Taskmaster Database - The Median Duck + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +

vires in notitia

+ + +
+
+
+

Strength in Data: Connecting to the Taskmaster Database

+
Posted on Jul 10, 2024
+
+ + + + +
+

Your Task

+
+

Successfully connect to the Taskmaster database from within R. Fastest wins; your time starts now!

+
+

This article provides an overview of Trabajo de las Mesas, a pivotal database that will be central to this project.

+

The article will also provide guidance on how to connect to the database from within R.

+

Trabajo de las Mesas Database

+

Trabajo de las Mesas (TdlM 1) provides a plethora of data associated with Taskmaster in a database format. Data included in the database includes information pertaining to a series, episode, conntestant, task attempts, and even profanity uttered by a contestant.

+

The exhaustive nature of the data truly opens the door to potential questions we may want to answer in the Taskmaster universe. For this reasons, I am immensely grateful to the contributors of this project.

+

For some musings on TdlM, data quality and assumptions made, see this post.

+

Connecting to the Database from R

+

Downloading the .db file

+

It is possible to view and query these the numerous tables in TdlM from the website itself. However, this does not lead intuitively to repeatable and reproduceable analysis. Connecting to the database from a (statistical) programming language such as R or python, naturally leads to repeatablility and reproduceability.

+

I am opting choosing to choose R for this project due to my familarity with it, and the high level visualisations and modelling that can be employed.

+

The tables displayed on the website are powered from the following database file which can downloaded and stored locally. The following code chunk downloads the database file locally (based on the repo directory); a corresponding folder location will be created if it does not already exist.

+
library(here)  #library to help with identifying the repo working directory
+
+# URL where Database file resides. We will download from here.
+db_url <- "https://tdlm.fly.dev/taskmaster.db"
+
+# Where the data will be stored locally
+db_file_name <- "taskmaster.db"
+data_dir <- here("static", "data")
+
+db_data_location <- file.path(data_dir, db_file_name)
+
+
+# Create Data Directory if does not exist
+if (!file.exists(file.path(data_dir))) {
+    dir.create(file.path(data_dir))
+}
+
+# Download file specified by URL, save in the local destination.
+if (!file.exists(db_data_location)) {
+    download.file(url = db_url, destfile = db_data_location, mode = "wb")
+}
+

Connecting to the .db file

+

Now that the database file has been downloaded successfully, we can start to connect to it from R directory. The DBI package will be employed to establish this connection.

+
package_name <- "RSQLite"
+
+# Install packages if does not exist, then load.
+if (!require(package_name, character.only = TRUE)) {
+    install.packages(package_name, character.only = TRUE)
+} else {
+    library(package_name, character.only = TRUE)
+}
+
## Loading required package: RSQLite
+
# Driver used to establish database connection
+sqlite_driver <- dbDriver("SQLite")
+
+# Making the connection
+tm_db <- dbConnect(sqlite_driver, dbname = db_data_location)
+

If successful, we should be able to list all the tables included in the database.

+
# List all tables that are available in the database
+dbListTables(tm_db)
+
##  [1] "attempts"           "discrepancies"      "episode_scores"     "episodes"           "intros"             "measurements"       "normalized_scores"  "objectives"         "people"             "podcast"            "profanity"          "series"             "series_scores"      "special_locations"  "task_briefs"        "task_readers"       "task_winners"       "tasks"              "tasks_by_objective" "team_tasks"         "teams"              "title_coiners"      "title_stats"
+

Querying the Database

+

With the database connection established, we are able to write queries and execute them directly from R to access the data. For example:

+

A Basic SELECT query

+
# A Basic Select query on the series table.
+query <- "SELECT * FROM series LIMIT 10"
+
+dbGetQuery(tm_db, query)
+
##    id     name episodes champion  air_start    air_end studio_start studio_end points tasks special TMI
+## 1  -7  CoC III        0       NA 2024-??-?? 2024-??-??   2023-11-28 2023-11-28     NA    NA       1  88
+## 2  -6 NYT 2024        0       NA 2024-01-01 2024-01-01   2023-11-27 2023-11-27     NA    NA       1  87
+## 3  -5 NYT 2023        1       96 2023-01-01 2023-01-01   2022-11-22 2022-11-22     76     5       1  66
+## 4  -4   CoC II        1       87 2022-06-23 2022-06-23   2021-09-15 2021-09-15     66     5       1  46
+## 5  -3 NYT 2022        1       73 2022-01-01 2022-01-01         <NA>       <NA>     68     5       1  47
+## 6  -2 NYT 2021        1       62 2021-01-01 2021-01-01         <NA>       <NA>     62     5       1  12
+## 7  -1      CoC        2       29 2017-12-13 2017-12-20   2017-11-20 2017-11-20    164    10       1   6
+## 8   1 Series 1        6        4 2015-07-28 2015-09-01   2015-03-23 2015-03-25    436    32       0   1
+## 9   2 Series 2        5       11 2016-06-21 2016-07-19         <NA>       <NA>    417    28       0   2
+## 10  3 Series 3        5       16 2016-10-04 2016-11-01         <NA>       <NA>    386    27       0   3
+

Advanced query

+

A more involved query involving JOIN and date manipulation is also possible.

+
# A join, and data manipulation
+query <- "SELECT ts.name,
+ts.special as special_flag,
+tp.name as champion_name,
+tp.seat as chamption_seat,
+DATE(ts.studio_end) as studio_end, 
+DATE(ts.air_start) as air_start, 
+-- Days between air start date, and last studio record date
+JULIANDAY(ts.air_start) - JULIANDAY(ts.studio_end) as broadcast_lag_days
+FROM series ts -- Series information
+LEFT JOIN people tp -- People/Contestant information
+    ON ts.id = tp.series
+    AND ts.champion = tp.id
+WHERE ts.special <> 1 -- Consider regular series
+"
+
+results <- dbGetQuery(tm_db, query)
+
+results
+
##         name special_flag    champion_name chamption_seat studio_end  air_start broadcast_lag_days
+## 1   Series 1            0  Josh Widdicombe              2 2015-03-25 2015-07-28                125
+## 2   Series 2            0   Katherine Ryan              4       <NA> 2016-06-21                 NA
+## 3   Series 3            0      Rob Beckett              4       <NA> 2016-10-04                 NA
+## 4   Series 4            0    Noel Fielding              5       <NA> 2017-04-25                 NA
+## 5   Series 5            0     Bob Mortimer              2 2017-07-06 2017-09-13                 69
+## 6   Series 6            0     Liza Tarbuck              3 2018-03-28 2018-05-02                 35
+## 7   Series 7            0   Kerry Godliman              3 2018-07-25 2018-09-05                 42
+## 8   Series 8            0      Lou Sanders              3 2019-03-27 2019-05-08                 42
+## 9   Series 9            0        Ed Gamble              2 2019-07-24 2019-09-04                 42
+## 10 Series 10            0  Richard Herring              5 2020-07-29 2020-10-15                 78
+## 11 Series 11            0    Sarah Kendall              5       <NA> 2021-03-18                 NA
+## 12 Series 12            0 Morgana Robinson              4       <NA> 2021-09-23                 NA
+## 13 Series 13            0     Sophie Duker              5 2021-09-22 2022-04-14                204
+## 14 Series 14            0    Dara Ó Briain              1 2022-05-05 2022-09-29                147
+## 15 Series 15            0       Mae Martin              5 2022-09-28 2023-03-30                183
+## 16 Series 16            0     Sam Campbell              3 2023-05-12 2023-09-21                132
+

A recording to airing insight…

+

The results of this query already indicate interesting insights; Series 13 has the largest known delay between studio recording and airing of 204 days (approximately 29 weeks). This is a noticeable deviation from prior series. Future series also seem delayed, although to a lesser extent.

+

Potential followup questions:

+
    +
  • Could the 2020 pandemic have initiated this lag?
  • +
  • Were there other production changes that led to this lag?
  • +
+

Times Up!

+

And that concludes this task! Hopefully you’ve been able to connect to the TdlM database directly through R and potentially inspired to start performing your own analysis.

+
+
+
    +
  1. +

    Taskmaster fanatics will know that this is in reference to the hint in S2E5’s task Build a bridge for the potato., which has since become one of key pieces of advice for all Taskmaster contestants. It has been suitably adapted for working on data tables in a database, rather than a piece of furniture. ↩︎

    +
  2. +
+
+ +
+ + + + +
+
+ +
+ + diff --git a/public/2024/07/database-connection/index_files/crosstalk/css/crosstalk.min.css b/public/2024/07/database-connection/index_files/crosstalk/css/crosstalk.min.css new file mode 100644 index 0000000..6b45382 --- /dev/null +++ b/public/2024/07/database-connection/index_files/crosstalk/css/crosstalk.min.css @@ -0,0 +1 @@ +.container-fluid.crosstalk-bscols{margin-left:-30px;margin-right:-30px;white-space:normal}body>.container-fluid.crosstalk-bscols{margin-left:auto;margin-right:auto}.crosstalk-input-checkboxgroup .crosstalk-options-group .crosstalk-options-column{display:inline-block;padding-right:12px;vertical-align:top}@media only screen and (max-width: 480px){.crosstalk-input-checkboxgroup .crosstalk-options-group .crosstalk-options-column{display:block;padding-right:inherit}}.crosstalk-input{margin-bottom:15px}.crosstalk-input .control-label{margin-bottom:0;vertical-align:middle}.crosstalk-input input[type="checkbox"]{margin:4px 0 0;margin-top:1px;line-height:normal}.crosstalk-input .checkbox{position:relative;display:block;margin-top:10px;margin-bottom:10px}.crosstalk-input .checkbox>label{padding-left:20px;margin-bottom:0;font-weight:400;cursor:pointer}.crosstalk-input .checkbox input[type="checkbox"],.crosstalk-input .checkbox-inline input[type="checkbox"]{position:absolute;margin-top:2px;margin-left:-20px}.crosstalk-input .checkbox+.checkbox{margin-top:-5px}.crosstalk-input .checkbox-inline{position:relative;display:inline-block;padding-left:20px;margin-bottom:0;font-weight:400;vertical-align:middle;cursor:pointer}.crosstalk-input .checkbox-inline+.checkbox-inline{margin-top:0;margin-left:10px} diff --git a/public/2024/07/database-connection/index_files/crosstalk/js/crosstalk.js b/public/2024/07/database-connection/index_files/crosstalk/js/crosstalk.js new file mode 100644 index 0000000..fd9eb53 --- /dev/null +++ b/public/2024/07/database-connection/index_files/crosstalk/js/crosstalk.js @@ -0,0 +1,1474 @@ +(function(){function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require=="function"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error("Cannot find module '"+o+"'");throw f.code="MODULE_NOT_FOUND",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require=="function"&&require;for(var o=0;o b) { + return 1; + } +} + +/** + * @private + */ + +var FilterSet = function () { + function FilterSet() { + _classCallCheck(this, FilterSet); + + this.reset(); + } + + _createClass(FilterSet, [{ + key: "reset", + value: function reset() { + // Key: handle ID, Value: array of selected keys, or null + this._handles = {}; + // Key: key string, Value: count of handles that include it + this._keys = {}; + this._value = null; + this._activeHandles = 0; + } + }, { + key: "update", + value: function update(handleId, keys) { + if (keys !== null) { + keys = keys.slice(0); // clone before sorting + keys.sort(naturalComparator); + } + + var _diffSortedLists = (0, _util.diffSortedLists)(this._handles[handleId], keys), + added = _diffSortedLists.added, + removed = _diffSortedLists.removed; + + this._handles[handleId] = keys; + + for (var i = 0; i < added.length; i++) { + this._keys[added[i]] = (this._keys[added[i]] || 0) + 1; + } + for (var _i = 0; _i < removed.length; _i++) { + this._keys[removed[_i]]--; + } + + this._updateValue(keys); + } + + /** + * @param {string[]} keys Sorted array of strings that indicate + * a superset of possible keys. + * @private + */ + + }, { + key: "_updateValue", + value: function _updateValue() { + var keys = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : this._allKeys; + + var handleCount = Object.keys(this._handles).length; + if (handleCount === 0) { + this._value = null; + } else { + this._value = []; + for (var i = 0; i < keys.length; i++) { + var count = this._keys[keys[i]]; + if (count === handleCount) { + this._value.push(keys[i]); + } + } + } + } + }, { + key: "clear", + value: function clear(handleId) { + if (typeof this._handles[handleId] === "undefined") { + return; + } + + var keys = this._handles[handleId]; + if (!keys) { + keys = []; + } + + for (var i = 0; i < keys.length; i++) { + this._keys[keys[i]]--; + } + delete this._handles[handleId]; + + this._updateValue(); + } + }, { + key: "value", + get: function get() { + return this._value; + } + }, { + key: "_allKeys", + get: function get() { + var allKeys = Object.keys(this._keys); + allKeys.sort(naturalComparator); + return allKeys; + } + }]); + + return FilterSet; +}(); + +exports.default = FilterSet; + +},{"./util":11}],4:[function(require,module,exports){ +(function (global){ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); + +var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }(); + +var _typeof = typeof Symbol === "function" && typeof Symbol.iterator === "symbol" ? function (obj) { return typeof obj; } : function (obj) { return obj && typeof Symbol === "function" && obj.constructor === Symbol && obj !== Symbol.prototype ? "symbol" : typeof obj; }; + +exports.default = group; + +var _var2 = require("./var"); + +var _var3 = _interopRequireDefault(_var2); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } + +// Use a global so that multiple copies of crosstalk.js can be loaded and still +// have groups behave as singletons across all copies. +global.__crosstalk_groups = global.__crosstalk_groups || {}; +var groups = global.__crosstalk_groups; + +function group(groupName) { + if (groupName && typeof groupName === "string") { + if (!groups.hasOwnProperty(groupName)) { + groups[groupName] = new Group(groupName); + } + return groups[groupName]; + } else if ((typeof groupName === "undefined" ? "undefined" : _typeof(groupName)) === "object" && groupName._vars && groupName.var) { + // Appears to already be a group object + return groupName; + } else if (Array.isArray(groupName) && groupName.length == 1 && typeof groupName[0] === "string") { + return group(groupName[0]); + } else { + throw new Error("Invalid groupName argument"); + } +} + +var Group = function () { + function Group(name) { + _classCallCheck(this, Group); + + this.name = name; + this._vars = {}; + } + + _createClass(Group, [{ + key: "var", + value: function _var(name) { + if (!name || typeof name !== "string") { + throw new Error("Invalid var name"); + } + + if (!this._vars.hasOwnProperty(name)) this._vars[name] = new _var3.default(this, name); + return this._vars[name]; + } + }, { + key: "has", + value: function has(name) { + if (!name || typeof name !== "string") { + throw new Error("Invalid var name"); + } + + return this._vars.hasOwnProperty(name); + } + }]); + + return Group; +}(); + +}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) + +},{"./var":12}],5:[function(require,module,exports){ +(function (global){ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); + +var _group = require("./group"); + +var _group2 = _interopRequireDefault(_group); + +var _selection = require("./selection"); + +var _filter = require("./filter"); + +var _input = require("./input"); + +require("./input_selectize"); + +require("./input_checkboxgroup"); + +require("./input_slider"); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +var defaultGroup = (0, _group2.default)("default"); + +function var_(name) { + return defaultGroup.var(name); +} + +function has(name) { + return defaultGroup.has(name); +} + +if (global.Shiny) { + global.Shiny.addCustomMessageHandler("update-client-value", function (message) { + if (typeof message.group === "string") { + (0, _group2.default)(message.group).var(message.name).set(message.value); + } else { + var_(message.name).set(message.value); + } + }); +} + +var crosstalk = { + group: _group2.default, + var: var_, + has: has, + SelectionHandle: _selection.SelectionHandle, + FilterHandle: _filter.FilterHandle, + bind: _input.bind +}; + +/** + * @namespace crosstalk + */ +exports.default = crosstalk; + +global.crosstalk = crosstalk; + +}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) + +},{"./filter":2,"./group":4,"./input":6,"./input_checkboxgroup":7,"./input_selectize":8,"./input_slider":9,"./selection":10}],6:[function(require,module,exports){ +(function (global){ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.register = register; +exports.bind = bind; +var $ = global.jQuery; + +var bindings = {}; + +function register(reg) { + bindings[reg.className] = reg; + if (global.document && global.document.readyState !== "complete") { + $(function () { + bind(); + }); + } else if (global.document) { + setTimeout(bind, 100); + } +} + +function bind() { + Object.keys(bindings).forEach(function (className) { + var binding = bindings[className]; + $("." + binding.className).not(".crosstalk-input-bound").each(function (i, el) { + bindInstance(binding, el); + }); + }); +} + +// Escape jQuery identifier +function $escape(val) { + return val.replace(/([!"#$%&'()*+,./:;<=>?@[\\\]^`{|}~])/g, "\\$1"); +} + +function bindEl(el) { + var $el = $(el); + Object.keys(bindings).forEach(function (className) { + if ($el.hasClass(className) && !$el.hasClass("crosstalk-input-bound")) { + var binding = bindings[className]; + bindInstance(binding, el); + } + }); +} + +function bindInstance(binding, el) { + var jsonEl = $(el).find("script[type='application/json'][data-for='" + $escape(el.id) + "']"); + var data = JSON.parse(jsonEl[0].innerText); + + var instance = binding.factory(el, data); + $(el).data("crosstalk-instance", instance); + $(el).addClass("crosstalk-input-bound"); +} + +if (global.Shiny) { + var inputBinding = new global.Shiny.InputBinding(); + var _$ = global.jQuery; + _$.extend(inputBinding, { + find: function find(scope) { + return _$(scope).find(".crosstalk-input"); + }, + initialize: function initialize(el) { + if (!_$(el).hasClass("crosstalk-input-bound")) { + bindEl(el); + } + }, + getId: function getId(el) { + return el.id; + }, + getValue: function getValue(el) {}, + setValue: function setValue(el, value) {}, + receiveMessage: function receiveMessage(el, data) {}, + subscribe: function subscribe(el, callback) { + _$(el).data("crosstalk-instance").resume(); + }, + unsubscribe: function unsubscribe(el) { + _$(el).data("crosstalk-instance").suspend(); + } + }); + global.Shiny.inputBindings.register(inputBinding, "crosstalk.inputBinding"); +} + +}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) + +},{}],7:[function(require,module,exports){ +(function (global){ +"use strict"; + +var _input = require("./input"); + +var input = _interopRequireWildcard(_input); + +var _filter = require("./filter"); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +var $ = global.jQuery; + +input.register({ + className: "crosstalk-input-checkboxgroup", + + factory: function factory(el, data) { + /* + * map: {"groupA": ["keyA", "keyB", ...], ...} + * group: "ct-groupname" + */ + var ctHandle = new _filter.FilterHandle(data.group); + + var lastKnownKeys = void 0; + var $el = $(el); + $el.on("change", "input[type='checkbox']", function () { + var checked = $el.find("input[type='checkbox']:checked"); + if (checked.length === 0) { + lastKnownKeys = null; + ctHandle.clear(); + } else { + var keys = {}; + checked.each(function () { + data.map[this.value].forEach(function (key) { + keys[key] = true; + }); + }); + var keyArray = Object.keys(keys); + keyArray.sort(); + lastKnownKeys = keyArray; + ctHandle.set(keyArray); + } + }); + + return { + suspend: function suspend() { + ctHandle.clear(); + }, + resume: function resume() { + if (lastKnownKeys) ctHandle.set(lastKnownKeys); + } + }; + } +}); + +}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) + +},{"./filter":2,"./input":6}],8:[function(require,module,exports){ +(function (global){ +"use strict"; + +var _input = require("./input"); + +var input = _interopRequireWildcard(_input); + +var _util = require("./util"); + +var util = _interopRequireWildcard(_util); + +var _filter = require("./filter"); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +var $ = global.jQuery; + +input.register({ + className: "crosstalk-input-select", + + factory: function factory(el, data) { + /* + * items: {value: [...], label: [...]} + * map: {"groupA": ["keyA", "keyB", ...], ...} + * group: "ct-groupname" + */ + + var first = [{ value: "", label: "(All)" }]; + var items = util.dataframeToD3(data.items); + var opts = { + options: first.concat(items), + valueField: "value", + labelField: "label", + searchField: "label" + }; + + var select = $(el).find("select")[0]; + + var selectize = $(select).selectize(opts)[0].selectize; + + var ctHandle = new _filter.FilterHandle(data.group); + + var lastKnownKeys = void 0; + selectize.on("change", function () { + if (selectize.items.length === 0) { + lastKnownKeys = null; + ctHandle.clear(); + } else { + var keys = {}; + selectize.items.forEach(function (group) { + data.map[group].forEach(function (key) { + keys[key] = true; + }); + }); + var keyArray = Object.keys(keys); + keyArray.sort(); + lastKnownKeys = keyArray; + ctHandle.set(keyArray); + } + }); + + return { + suspend: function suspend() { + ctHandle.clear(); + }, + resume: function resume() { + if (lastKnownKeys) ctHandle.set(lastKnownKeys); + } + }; + } +}); + +}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) + +},{"./filter":2,"./input":6,"./util":11}],9:[function(require,module,exports){ +(function (global){ +"use strict"; + +var _slicedToArray = function () { function sliceIterator(arr, i) { var _arr = []; var _n = true; var _d = false; var _e = undefined; try { for (var _i = arr[Symbol.iterator](), _s; !(_n = (_s = _i.next()).done); _n = true) { _arr.push(_s.value); if (i && _arr.length === i) break; } } catch (err) { _d = true; _e = err; } finally { try { if (!_n && _i["return"]) _i["return"](); } finally { if (_d) throw _e; } } return _arr; } return function (arr, i) { if (Array.isArray(arr)) { return arr; } else if (Symbol.iterator in Object(arr)) { return sliceIterator(arr, i); } else { throw new TypeError("Invalid attempt to destructure non-iterable instance"); } }; }(); + +var _input = require("./input"); + +var input = _interopRequireWildcard(_input); + +var _filter = require("./filter"); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +var $ = global.jQuery; +var strftime = global.strftime; + +input.register({ + className: "crosstalk-input-slider", + + factory: function factory(el, data) { + /* + * map: {"groupA": ["keyA", "keyB", ...], ...} + * group: "ct-groupname" + */ + var ctHandle = new _filter.FilterHandle(data.group); + + var opts = {}; + var $el = $(el).find("input"); + var dataType = $el.data("data-type"); + var timeFormat = $el.data("time-format"); + var round = $el.data("round"); + var timeFormatter = void 0; + + // Set up formatting functions + if (dataType === "date") { + timeFormatter = strftime.utc(); + opts.prettify = function (num) { + return timeFormatter(timeFormat, new Date(num)); + }; + } else if (dataType === "datetime") { + var timezone = $el.data("timezone"); + if (timezone) timeFormatter = strftime.timezone(timezone);else timeFormatter = strftime; + + opts.prettify = function (num) { + return timeFormatter(timeFormat, new Date(num)); + }; + } else if (dataType === "number") { + if (typeof round !== "undefined") opts.prettify = function (num) { + var factor = Math.pow(10, round); + return Math.round(num * factor) / factor; + }; + } + + $el.ionRangeSlider(opts); + + function getValue() { + var result = $el.data("ionRangeSlider").result; + + // Function for converting numeric value from slider to appropriate type. + var convert = void 0; + var dataType = $el.data("data-type"); + if (dataType === "date") { + convert = function convert(val) { + return formatDateUTC(new Date(+val)); + }; + } else if (dataType === "datetime") { + convert = function convert(val) { + // Convert ms to s + return +val / 1000; + }; + } else { + convert = function convert(val) { + return +val; + }; + } + + if ($el.data("ionRangeSlider").options.type === "double") { + return [convert(result.from), convert(result.to)]; + } else { + return convert(result.from); + } + } + + var lastKnownKeys = null; + + $el.on("change.crosstalkSliderInput", function (event) { + if (!$el.data("updating") && !$el.data("animating")) { + var _getValue = getValue(), + _getValue2 = _slicedToArray(_getValue, 2), + from = _getValue2[0], + to = _getValue2[1]; + + var keys = []; + for (var i = 0; i < data.values.length; i++) { + var val = data.values[i]; + if (val >= from && val <= to) { + keys.push(data.keys[i]); + } + } + keys.sort(); + ctHandle.set(keys); + lastKnownKeys = keys; + } + }); + + // let $el = $(el); + // $el.on("change", "input[type="checkbox"]", function() { + // let checked = $el.find("input[type="checkbox"]:checked"); + // if (checked.length === 0) { + // ctHandle.clear(); + // } else { + // let keys = {}; + // checked.each(function() { + // data.map[this.value].forEach(function(key) { + // keys[key] = true; + // }); + // }); + // let keyArray = Object.keys(keys); + // keyArray.sort(); + // ctHandle.set(keyArray); + // } + // }); + + return { + suspend: function suspend() { + ctHandle.clear(); + }, + resume: function resume() { + if (lastKnownKeys) ctHandle.set(lastKnownKeys); + } + }; + } +}); + +// Convert a number to a string with leading zeros +function padZeros(n, digits) { + var str = n.toString(); + while (str.length < digits) { + str = "0" + str; + }return str; +} + +// Given a Date object, return a string in yyyy-mm-dd format, using the +// UTC date. This may be a day off from the date in the local time zone. +function formatDateUTC(date) { + if (date instanceof Date) { + return date.getUTCFullYear() + "-" + padZeros(date.getUTCMonth() + 1, 2) + "-" + padZeros(date.getUTCDate(), 2); + } else { + return null; + } +} + +}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) + +},{"./filter":2,"./input":6}],10:[function(require,module,exports){ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.SelectionHandle = undefined; + +var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }(); + +var _events = require("./events"); + +var _events2 = _interopRequireDefault(_events); + +var _group = require("./group"); + +var _group2 = _interopRequireDefault(_group); + +var _util = require("./util"); + +var util = _interopRequireWildcard(_util); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } + +/** + * Use this class to read and write (and listen for changes to) the selection + * for a Crosstalk group. This is intended to be used for linked brushing. + * + * If two (or more) `SelectionHandle` instances in the same webpage share the + * same group name, they will share the same state. Setting the selection using + * one `SelectionHandle` instance will result in the `value` property instantly + * changing across the others, and `"change"` event listeners on all instances + * (including the one that initiated the sending) will fire. + * + * @param {string} [group] - The name of the Crosstalk group, or if none, + * null or undefined (or any other falsy value). This can be changed later + * via the [SelectionHandle#setGroup](#setGroup) method. + * @param {Object} [extraInfo] - An object whose properties will be copied to + * the event object whenever an event is emitted. + */ +var SelectionHandle = exports.SelectionHandle = function () { + function SelectionHandle() { + var group = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : null; + var extraInfo = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : null; + + _classCallCheck(this, SelectionHandle); + + this._eventRelay = new _events2.default(); + this._emitter = new util.SubscriptionTracker(this._eventRelay); + + // Name of the group we're currently tracking, if any. Can change over time. + this._group = null; + // The Var we're currently tracking, if any. Can change over time. + this._var = null; + // The event handler subscription we currently have on var.on("change"). + this._varOnChangeSub = null; + + this._extraInfo = util.extend({ sender: this }, extraInfo); + + this.setGroup(group); + } + + /** + * Changes the Crosstalk group membership of this SelectionHandle. The group + * being switched away from (if any) will not have its selection value + * modified as a result of calling `setGroup`, even if this handle was the + * most recent handle to set the selection of the group. + * + * The group being switched to (if any) will also not have its selection value + * modified as a result of calling `setGroup`. If you want to set the + * selection value of the new group, call `set` explicitly. + * + * @param {string} group - The name of the Crosstalk group, or null (or + * undefined) to clear the group. + */ + + + _createClass(SelectionHandle, [{ + key: "setGroup", + value: function setGroup(group) { + var _this = this; + + // If group is unchanged, do nothing + if (this._group === group) return; + // Treat null, undefined, and other falsy values the same + if (!this._group && !group) return; + + if (this._var) { + this._var.off("change", this._varOnChangeSub); + this._var = null; + this._varOnChangeSub = null; + } + + this._group = group; + + if (group) { + this._var = (0, _group2.default)(group).var("selection"); + var sub = this._var.on("change", function (e) { + _this._eventRelay.trigger("change", e, _this); + }); + this._varOnChangeSub = sub; + } + } + + /** + * Retrieves the current selection for the group represented by this + * `SelectionHandle`. + * + * - If no selection is active, then this value will be falsy. + * - If a selection is active, but no data points are selected, then this + * value will be an empty array. + * - If a selection is active, and data points are selected, then the keys + * of the selected data points will be present in the array. + */ + + }, { + key: "_mergeExtraInfo", + + + /** + * Combines the given `extraInfo` (if any) with the handle's default + * `_extraInfo` (if any). + * @private + */ + value: function _mergeExtraInfo(extraInfo) { + // Important incidental effect: shallow clone is returned + return util.extend({}, this._extraInfo ? this._extraInfo : null, extraInfo ? extraInfo : null); + } + + /** + * Overwrites the current selection for the group, and raises the `"change"` + * event among all of the group's '`SelectionHandle` instances (including + * this one). + * + * @fires SelectionHandle#change + * @param {string[]} selectedKeys - Falsy, empty array, or array of keys (see + * {@link SelectionHandle#value}). + * @param {Object} [extraInfo] - Extra properties to be included on the event + * object that's passed to listeners (in addition to any options that were + * passed into the `SelectionHandle` constructor). + */ + + }, { + key: "set", + value: function set(selectedKeys, extraInfo) { + if (this._var) this._var.set(selectedKeys, this._mergeExtraInfo(extraInfo)); + } + + /** + * Overwrites the current selection for the group, and raises the `"change"` + * event among all of the group's '`SelectionHandle` instances (including + * this one). + * + * @fires SelectionHandle#change + * @param {Object} [extraInfo] - Extra properties to be included on the event + * object that's passed to listeners (in addition to any that were passed + * into the `SelectionHandle` constructor). + */ + + }, { + key: "clear", + value: function clear(extraInfo) { + if (this._var) this.set(void 0, this._mergeExtraInfo(extraInfo)); + } + + /** + * Subscribes to events on this `SelectionHandle`. + * + * @param {string} eventType - Indicates the type of events to listen to. + * Currently, only `"change"` is supported. + * @param {SelectionHandle~listener} listener - The callback function that + * will be invoked when the event occurs. + * @return {string} - A token to pass to {@link SelectionHandle#off} to cancel + * this subscription. + */ + + }, { + key: "on", + value: function on(eventType, listener) { + return this._emitter.on(eventType, listener); + } + + /** + * Cancels event subscriptions created by {@link SelectionHandle#on}. + * + * @param {string} eventType - The type of event to unsubscribe. + * @param {string|SelectionHandle~listener} listener - Either the callback + * function previously passed into {@link SelectionHandle#on}, or the + * string that was returned from {@link SelectionHandle#on}. + */ + + }, { + key: "off", + value: function off(eventType, listener) { + return this._emitter.off(eventType, listener); + } + + /** + * Shuts down the `SelectionHandle` object. + * + * Removes all event listeners that were added through this handle. + */ + + }, { + key: "close", + value: function close() { + this._emitter.removeAllListeners(); + this.setGroup(null); + } + }, { + key: "value", + get: function get() { + return this._var ? this._var.get() : null; + } + }]); + + return SelectionHandle; +}(); + +/** + * @callback SelectionHandle~listener + * @param {Object} event - An object containing details of the event. For + * `"change"` events, this includes the properties `value` (the new + * value of the selection, or `undefined` if no selection is active), + * `oldValue` (the previous value of the selection), and `sender` (the + * `SelectionHandle` instance that made the change). + */ + +/** + * @event SelectionHandle#change + * @type {object} + * @property {object} value - The new value of the selection, or `undefined` + * if no selection is active. + * @property {object} oldValue - The previous value of the selection. + * @property {SelectionHandle} sender - The `SelectionHandle` instance that + * changed the value. + */ + +},{"./events":1,"./group":4,"./util":11}],11:[function(require,module,exports){ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); + +var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }(); + +var _typeof = typeof Symbol === "function" && typeof Symbol.iterator === "symbol" ? function (obj) { return typeof obj; } : function (obj) { return obj && typeof Symbol === "function" && obj.constructor === Symbol && obj !== Symbol.prototype ? "symbol" : typeof obj; }; + +exports.extend = extend; +exports.checkSorted = checkSorted; +exports.diffSortedLists = diffSortedLists; +exports.dataframeToD3 = dataframeToD3; + +function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } + +function extend(target) { + for (var _len = arguments.length, sources = Array(_len > 1 ? _len - 1 : 0), _key = 1; _key < _len; _key++) { + sources[_key - 1] = arguments[_key]; + } + + for (var i = 0; i < sources.length; i++) { + var src = sources[i]; + if (typeof src === "undefined" || src === null) continue; + + for (var key in src) { + if (src.hasOwnProperty(key)) { + target[key] = src[key]; + } + } + } + return target; +} + +function checkSorted(list) { + for (var i = 1; i < list.length; i++) { + if (list[i] <= list[i - 1]) { + throw new Error("List is not sorted or contains duplicate"); + } + } +} + +function diffSortedLists(a, b) { + var i_a = 0; + var i_b = 0; + + if (!a) a = []; + if (!b) b = []; + + var a_only = []; + var b_only = []; + + checkSorted(a); + checkSorted(b); + + while (i_a < a.length && i_b < b.length) { + if (a[i_a] === b[i_b]) { + i_a++; + i_b++; + } else if (a[i_a] < b[i_b]) { + a_only.push(a[i_a++]); + } else { + b_only.push(b[i_b++]); + } + } + + if (i_a < a.length) a_only = a_only.concat(a.slice(i_a)); + if (i_b < b.length) b_only = b_only.concat(b.slice(i_b)); + return { + removed: a_only, + added: b_only + }; +} + +// Convert from wide: { colA: [1,2,3], colB: [4,5,6], ... } +// to long: [ {colA: 1, colB: 4}, {colA: 2, colB: 5}, ... ] +function dataframeToD3(df) { + var names = []; + var length = void 0; + for (var name in df) { + if (df.hasOwnProperty(name)) names.push(name); + if (_typeof(df[name]) !== "object" || typeof df[name].length === "undefined") { + throw new Error("All fields must be arrays"); + } else if (typeof length !== "undefined" && length !== df[name].length) { + throw new Error("All fields must be arrays of the same length"); + } + length = df[name].length; + } + var results = []; + var item = void 0; + for (var row = 0; row < length; row++) { + item = {}; + for (var col = 0; col < names.length; col++) { + item[names[col]] = df[names[col]][row]; + } + results.push(item); + } + return results; +} + +/** + * Keeps track of all event listener additions/removals and lets all active + * listeners be removed with a single operation. + * + * @private + */ + +var SubscriptionTracker = exports.SubscriptionTracker = function () { + function SubscriptionTracker(emitter) { + _classCallCheck(this, SubscriptionTracker); + + this._emitter = emitter; + this._subs = {}; + } + + _createClass(SubscriptionTracker, [{ + key: "on", + value: function on(eventType, listener) { + var sub = this._emitter.on(eventType, listener); + this._subs[sub] = eventType; + return sub; + } + }, { + key: "off", + value: function off(eventType, listener) { + var sub = this._emitter.off(eventType, listener); + if (sub) { + delete this._subs[sub]; + } + return sub; + } + }, { + key: "removeAllListeners", + value: function removeAllListeners() { + var _this = this; + + var current_subs = this._subs; + this._subs = {}; + Object.keys(current_subs).forEach(function (sub) { + _this._emitter.off(current_subs[sub], sub); + }); + } + }]); + + return SubscriptionTracker; +}(); + +},{}],12:[function(require,module,exports){ +(function (global){ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); + +var _typeof = typeof Symbol === "function" && typeof Symbol.iterator === "symbol" ? function (obj) { return typeof obj; } : function (obj) { return obj && typeof Symbol === "function" && obj.constructor === Symbol && obj !== Symbol.prototype ? "symbol" : typeof obj; }; + +var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }(); + +var _events = require("./events"); + +var _events2 = _interopRequireDefault(_events); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } + +var Var = function () { + function Var(group, name, /*optional*/value) { + _classCallCheck(this, Var); + + this._group = group; + this._name = name; + this._value = value; + this._events = new _events2.default(); + } + + _createClass(Var, [{ + key: "get", + value: function get() { + return this._value; + } + }, { + key: "set", + value: function set(value, /*optional*/event) { + if (this._value === value) { + // Do nothing; the value hasn't changed + return; + } + var oldValue = this._value; + this._value = value; + // Alert JavaScript listeners that the value has changed + var evt = {}; + if (event && (typeof event === "undefined" ? "undefined" : _typeof(event)) === "object") { + for (var k in event) { + if (event.hasOwnProperty(k)) evt[k] = event[k]; + } + } + evt.oldValue = oldValue; + evt.value = value; + this._events.trigger("change", evt, this); + + // TODO: Make this extensible, to let arbitrary back-ends know that + // something has changed + if (global.Shiny && global.Shiny.onInputChange) { + global.Shiny.onInputChange(".clientValue-" + (this._group.name !== null ? this._group.name + "-" : "") + this._name, typeof value === "undefined" ? null : value); + } + } + }, { + key: "on", + value: function on(eventType, listener) { + return this._events.on(eventType, listener); + } + }, { + key: "off", + value: function off(eventType, listener) { + return this._events.off(eventType, listener); + } + }]); + + return Var; +}(); + +exports.default = Var; + +}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) + +},{"./events":1}]},{},[5]) +//# sourceMappingURL=crosstalk.js.map diff --git a/public/2024/07/database-connection/index_files/crosstalk/js/crosstalk.js.map b/public/2024/07/database-connection/index_files/crosstalk/js/crosstalk.js.map new file mode 100644 index 0000000..cff94f0 --- /dev/null +++ b/public/2024/07/database-connection/index_files/crosstalk/js/crosstalk.js.map @@ -0,0 +1,37 @@ +{ + "version": 3, + "sources": [ + "node_modules/browser-pack/_prelude.js", + "javascript/src/events.js", + "javascript/src/filter.js", + "javascript/src/filterset.js", + "javascript/src/group.js", + "javascript/src/index.js", + "javascript/src/input.js", + "javascript/src/input_checkboxgroup.js", + "javascript/src/input_selectize.js", + "javascript/src/input_slider.js", + "javascript/src/selection.js", + "javascript/src/util.js", + "javascript/src/var.js" + ], + "names": [], + "mappings": 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+ "file": "generated.js", + "sourceRoot": "", + "sourcesContent": [ + "(function(){function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require==\"function\"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error(\"Cannot find module '\"+o+\"'\");throw f.code=\"MODULE_NOT_FOUND\",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require==\"function\"&&require;for(var o=0;o {\n this._eventRelay.trigger(\"change\", e, this);\n });\n this._varOnChangeSub = sub;\n }\n }\n\n /**\n * Combine the given `extraInfo` (if any) with the handle's default\n * `_extraInfo` (if any).\n * @private\n */\n _mergeExtraInfo(extraInfo) {\n return util.extend({},\n this._extraInfo ? this._extraInfo : null,\n extraInfo ? extraInfo : null);\n }\n\n /**\n * Close the handle. This clears this handle's contribution to the filter set,\n * and unsubscribes all event listeners.\n */\n close() {\n this._emitter.removeAllListeners();\n this.clear();\n this.setGroup(null);\n }\n\n /**\n * Clear this handle's contribution to the filter set.\n *\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any options that were\n * passed into the `FilterHandle` constructor).\n * \n * @fires FilterHandle#change\n */\n clear(extraInfo) {\n if (!this._filterSet)\n return;\n this._filterSet.clear(this._id);\n this._onChange(extraInfo);\n }\n\n /**\n * Set this handle's contribution to the filter set. This array should consist\n * of the keys of the rows that _should_ be displayed; any keys that are not\n * present in the array will be considered _filtered out_. Note that multiple\n * `FilterHandle` instances in the group may each contribute an array of keys,\n * and only those keys that appear in _all_ of the arrays make it through the\n * filter.\n *\n * @param {string[]} keys - Empty array, or array of keys. To clear the\n * filter, don't pass an empty array; instead, use the\n * {@link FilterHandle#clear} method.\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any options that were\n * passed into the `FilterHandle` constructor).\n * \n * @fires FilterHandle#change\n */\n set(keys, extraInfo) {\n if (!this._filterSet)\n return;\n this._filterSet.update(this._id, keys);\n this._onChange(extraInfo);\n }\n\n /**\n * @return {string[]|null} - Either: 1) an array of keys that made it through\n * all of the `FilterHandle` instances, or, 2) `null`, which means no filter\n * is being applied (all data should be displayed).\n */\n get filteredKeys() {\n return this._filterSet ? this._filterSet.value : null;\n }\n\n /**\n * Subscribe to events on this `FilterHandle`.\n *\n * @param {string} eventType - Indicates the type of events to listen to.\n * Currently, only `\"change\"` is supported.\n * @param {FilterHandle~listener} listener - The callback function that\n * will be invoked when the event occurs.\n * @return {string} - A token to pass to {@link FilterHandle#off} to cancel\n * this subscription.\n */\n on(eventType, listener) {\n return this._emitter.on(eventType, listener);\n }\n\n /**\n * Cancel event subscriptions created by {@link FilterHandle#on}.\n *\n * @param {string} eventType - The type of event to unsubscribe.\n * @param {string|FilterHandle~listener} listener - Either the callback\n * function previously passed into {@link FilterHandle#on}, or the\n * string that was returned from {@link FilterHandle#on}.\n */\n off(eventType, listener) {\n return this._emitter.off(eventType, listener);\n }\n\n _onChange(extraInfo) {\n if (!this._filterSet)\n return;\n this._filterVar.set(this._filterSet.value, this._mergeExtraInfo(extraInfo));\n }\n\n /**\n * @callback FilterHandle~listener\n * @param {Object} event - An object containing details of the event. For\n * `\"change\"` events, this includes the properties `value` (the new\n * value of the filter set, or `null` if no filter set is active),\n * `oldValue` (the previous value of the filter set), and `sender` (the\n * `FilterHandle` instance that made the change).\n */\n\n}\n\n/**\n * @event FilterHandle#change\n * @type {object}\n * @property {object} value - The new value of the filter set, or `null`\n * if no filter set is active.\n * @property {object} oldValue - The previous value of the filter set.\n * @property {FilterHandle} sender - The `FilterHandle` instance that\n * changed the value.\n */\n", + "import { diffSortedLists } from \"./util\";\n\nfunction naturalComparator(a, b) {\n if (a === b) {\n return 0;\n } else if (a < b) {\n return -1;\n } else if (a > b) {\n return 1;\n }\n}\n\n/**\n * @private\n */\nexport default class FilterSet {\n constructor() {\n this.reset();\n }\n\n reset() {\n // Key: handle ID, Value: array of selected keys, or null\n this._handles = {};\n // Key: key string, Value: count of handles that include it\n this._keys = {};\n this._value = null;\n this._activeHandles = 0;\n }\n\n get value() {\n return this._value;\n }\n\n update(handleId, keys) {\n if (keys !== null) {\n keys = keys.slice(0); // clone before sorting\n keys.sort(naturalComparator);\n }\n\n let {added, removed} = diffSortedLists(this._handles[handleId], keys);\n this._handles[handleId] = keys;\n\n for (let i = 0; i < added.length; i++) {\n this._keys[added[i]] = (this._keys[added[i]] || 0) + 1;\n }\n for (let i = 0; i < removed.length; i++) {\n this._keys[removed[i]]--;\n }\n\n this._updateValue(keys);\n }\n\n /**\n * @param {string[]} keys Sorted array of strings that indicate\n * a superset of possible keys.\n * @private\n */\n _updateValue(keys = this._allKeys) {\n let handleCount = Object.keys(this._handles).length;\n if (handleCount === 0) {\n this._value = null;\n } else {\n this._value = [];\n for (let i = 0; i < keys.length; i++) {\n let count = this._keys[keys[i]];\n if (count === handleCount) {\n this._value.push(keys[i]);\n }\n }\n }\n }\n\n clear(handleId) {\n if (typeof(this._handles[handleId]) === \"undefined\") {\n return;\n }\n\n let keys = this._handles[handleId];\n if (!keys) {\n keys = [];\n }\n\n for (let i = 0; i < keys.length; i++) {\n this._keys[keys[i]]--;\n }\n delete this._handles[handleId];\n\n this._updateValue();\n }\n\n get _allKeys() {\n let allKeys = Object.keys(this._keys);\n allKeys.sort(naturalComparator);\n return allKeys;\n }\n}\n", + "import Var from \"./var\";\n\n// Use a global so that multiple copies of crosstalk.js can be loaded and still\n// have groups behave as singletons across all copies.\nglobal.__crosstalk_groups = global.__crosstalk_groups || {};\nlet groups = global.__crosstalk_groups;\n\nexport default function group(groupName) {\n if (groupName && typeof(groupName) === \"string\") {\n if (!groups.hasOwnProperty(groupName)) {\n groups[groupName] = new Group(groupName);\n }\n return groups[groupName];\n } else if (typeof(groupName) === \"object\" && groupName._vars && groupName.var) {\n // Appears to already be a group object\n return groupName;\n } else if (Array.isArray(groupName) &&\n groupName.length == 1 &&\n typeof(groupName[0]) === \"string\") {\n return group(groupName[0]);\n } else {\n throw new Error(\"Invalid groupName argument\");\n }\n}\n\nclass Group {\n constructor(name) {\n this.name = name;\n this._vars = {};\n }\n\n var(name) {\n if (!name || typeof(name) !== \"string\") {\n throw new Error(\"Invalid var name\");\n }\n\n if (!this._vars.hasOwnProperty(name))\n this._vars[name] = new Var(this, name);\n return this._vars[name];\n }\n\n has(name) {\n if (!name || typeof(name) !== \"string\") {\n throw new Error(\"Invalid var name\");\n }\n\n return this._vars.hasOwnProperty(name);\n }\n}\n", + "import group from \"./group\";\nimport { SelectionHandle } from \"./selection\";\nimport { FilterHandle } from \"./filter\";\nimport { bind } from \"./input\";\nimport \"./input_selectize\";\nimport \"./input_checkboxgroup\";\nimport \"./input_slider\";\n\nconst defaultGroup = group(\"default\");\n\nfunction var_(name) {\n return defaultGroup.var(name);\n}\n\nfunction has(name) {\n return defaultGroup.has(name);\n}\n\nif (global.Shiny) {\n global.Shiny.addCustomMessageHandler(\"update-client-value\", function(message) {\n if (typeof(message.group) === \"string\") {\n group(message.group).var(message.name).set(message.value);\n } else {\n var_(message.name).set(message.value);\n }\n });\n}\n\nconst crosstalk = {\n group: group,\n var: var_,\n has: has,\n SelectionHandle: SelectionHandle,\n FilterHandle: FilterHandle,\n bind: bind\n};\n\n/**\n * @namespace crosstalk\n */\nexport default crosstalk;\nglobal.crosstalk = crosstalk;\n", + "let $ = global.jQuery;\n\nlet bindings = {};\n\nexport function register(reg) {\n bindings[reg.className] = reg;\n if (global.document && global.document.readyState !== \"complete\") {\n $(() => {\n bind();\n });\n } else if (global.document) {\n setTimeout(bind, 100);\n }\n}\n\nexport function bind() {\n Object.keys(bindings).forEach(function(className) {\n let binding = bindings[className];\n $(\".\" + binding.className).not(\".crosstalk-input-bound\").each(function(i, el) {\n bindInstance(binding, el);\n });\n });\n}\n\n// Escape jQuery identifier\nfunction $escape(val) {\n return val.replace(/([!\"#$%&'()*+,./:;<=>?@[\\\\\\]^`{|}~])/g, \"\\\\$1\");\n}\n\nfunction bindEl(el) {\n let $el = $(el);\n Object.keys(bindings).forEach(function(className) {\n if ($el.hasClass(className) && !$el.hasClass(\"crosstalk-input-bound\")) {\n let binding = bindings[className];\n bindInstance(binding, el);\n }\n });\n}\n\nfunction bindInstance(binding, el) {\n let jsonEl = $(el).find(\"script[type='application/json'][data-for='\" + $escape(el.id) + \"']\");\n let data = JSON.parse(jsonEl[0].innerText);\n\n let instance = binding.factory(el, data);\n $(el).data(\"crosstalk-instance\", instance);\n $(el).addClass(\"crosstalk-input-bound\");\n}\n\nif (global.Shiny) {\n let inputBinding = new global.Shiny.InputBinding();\n let $ = global.jQuery;\n $.extend(inputBinding, {\n find: function(scope) {\n return $(scope).find(\".crosstalk-input\");\n },\n initialize: function(el) {\n if (!$(el).hasClass(\"crosstalk-input-bound\")) {\n bindEl(el);\n }\n },\n getId: function(el) {\n return el.id;\n },\n getValue: function(el) {\n\n },\n setValue: function(el, value) {\n\n },\n receiveMessage: function(el, data) {\n\n },\n subscribe: function(el, callback) {\n $(el).data(\"crosstalk-instance\").resume();\n },\n unsubscribe: function(el) {\n $(el).data(\"crosstalk-instance\").suspend();\n }\n });\n global.Shiny.inputBindings.register(inputBinding, \"crosstalk.inputBinding\");\n}\n", + "import * as input from \"./input\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\n\ninput.register({\n className: \"crosstalk-input-checkboxgroup\",\n\n factory: function(el, data) {\n /*\n * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n * group: \"ct-groupname\"\n */\n let ctHandle = new FilterHandle(data.group);\n\n let lastKnownKeys;\n let $el = $(el);\n $el.on(\"change\", \"input[type='checkbox']\", function() {\n let checked = $el.find(\"input[type='checkbox']:checked\");\n if (checked.length === 0) {\n lastKnownKeys = null;\n ctHandle.clear();\n } else {\n let keys = {};\n checked.each(function() {\n data.map[this.value].forEach(function(key) {\n keys[key] = true;\n });\n });\n let keyArray = Object.keys(keys);\n keyArray.sort();\n lastKnownKeys = keyArray;\n ctHandle.set(keyArray);\n }\n });\n\n return {\n suspend: function() {\n ctHandle.clear();\n },\n resume: function() {\n if (lastKnownKeys)\n ctHandle.set(lastKnownKeys);\n }\n };\n }\n});\n", + "import * as input from \"./input\";\nimport * as util from \"./util\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\n\ninput.register({\n className: \"crosstalk-input-select\",\n\n factory: function(el, data) {\n /*\n * items: {value: [...], label: [...]}\n * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n * group: \"ct-groupname\"\n */\n\n let first = [{value: \"\", label: \"(All)\"}];\n let items = util.dataframeToD3(data.items);\n let opts = {\n options: first.concat(items),\n valueField: \"value\",\n labelField: \"label\",\n searchField: \"label\"\n };\n\n let select = $(el).find(\"select\")[0];\n\n let selectize = $(select).selectize(opts)[0].selectize;\n\n let ctHandle = new FilterHandle(data.group);\n\n let lastKnownKeys;\n selectize.on(\"change\", function() {\n if (selectize.items.length === 0) {\n lastKnownKeys = null;\n ctHandle.clear();\n } else {\n let keys = {};\n selectize.items.forEach(function(group) {\n data.map[group].forEach(function(key) {\n keys[key] = true;\n });\n });\n let keyArray = Object.keys(keys);\n keyArray.sort();\n lastKnownKeys = keyArray;\n ctHandle.set(keyArray);\n }\n });\n\n return {\n suspend: function() {\n ctHandle.clear();\n },\n resume: function() {\n if (lastKnownKeys)\n ctHandle.set(lastKnownKeys);\n }\n };\n }\n});\n", + "import * as input from \"./input\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\nlet strftime = global.strftime;\n\ninput.register({\n className: \"crosstalk-input-slider\",\n\n factory: function(el, data) {\n /*\n * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n * group: \"ct-groupname\"\n */\n let ctHandle = new FilterHandle(data.group);\n\n let opts = {};\n let $el = $(el).find(\"input\");\n let dataType = $el.data(\"data-type\");\n let timeFormat = $el.data(\"time-format\");\n let round = $el.data(\"round\");\n let timeFormatter;\n\n // Set up formatting functions\n if (dataType === \"date\") {\n timeFormatter = strftime.utc();\n opts.prettify = function(num) {\n return timeFormatter(timeFormat, new Date(num));\n };\n\n } else if (dataType === \"datetime\") {\n let timezone = $el.data(\"timezone\");\n if (timezone)\n timeFormatter = strftime.timezone(timezone);\n else\n timeFormatter = strftime;\n\n opts.prettify = function(num) {\n return timeFormatter(timeFormat, new Date(num));\n };\n } else if (dataType === \"number\") {\n if (typeof round !== \"undefined\")\n opts.prettify = function(num) {\n let factor = Math.pow(10, round);\n return Math.round(num * factor) / factor;\n };\n }\n\n $el.ionRangeSlider(opts);\n\n function getValue() {\n let result = $el.data(\"ionRangeSlider\").result;\n\n // Function for converting numeric value from slider to appropriate type.\n let convert;\n let dataType = $el.data(\"data-type\");\n if (dataType === \"date\") {\n convert = function(val) {\n return formatDateUTC(new Date(+val));\n };\n } else if (dataType === \"datetime\") {\n convert = function(val) {\n // Convert ms to s\n return +val / 1000;\n };\n } else {\n convert = function(val) { return +val; };\n }\n\n if ($el.data(\"ionRangeSlider\").options.type === \"double\") {\n return [convert(result.from), convert(result.to)];\n } else {\n return convert(result.from);\n }\n }\n\n let lastKnownKeys = null;\n\n $el.on(\"change.crosstalkSliderInput\", function(event) {\n if (!$el.data(\"updating\") && !$el.data(\"animating\")) {\n let [from, to] = getValue();\n let keys = [];\n for (let i = 0; i < data.values.length; i++) {\n let val = data.values[i];\n if (val >= from && val <= to) {\n keys.push(data.keys[i]);\n }\n }\n keys.sort();\n ctHandle.set(keys);\n lastKnownKeys = keys;\n }\n });\n\n\n // let $el = $(el);\n // $el.on(\"change\", \"input[type=\"checkbox\"]\", function() {\n // let checked = $el.find(\"input[type=\"checkbox\"]:checked\");\n // if (checked.length === 0) {\n // ctHandle.clear();\n // } else {\n // let keys = {};\n // checked.each(function() {\n // data.map[this.value].forEach(function(key) {\n // keys[key] = true;\n // });\n // });\n // let keyArray = Object.keys(keys);\n // keyArray.sort();\n // ctHandle.set(keyArray);\n // }\n // });\n\n return {\n suspend: function() {\n ctHandle.clear();\n },\n resume: function() {\n if (lastKnownKeys)\n ctHandle.set(lastKnownKeys);\n }\n };\n }\n});\n\n\n// Convert a number to a string with leading zeros\nfunction padZeros(n, digits) {\n let str = n.toString();\n while (str.length < digits)\n str = \"0\" + str;\n return str;\n}\n\n// Given a Date object, return a string in yyyy-mm-dd format, using the\n// UTC date. This may be a day off from the date in the local time zone.\nfunction formatDateUTC(date) {\n if (date instanceof Date) {\n return date.getUTCFullYear() + \"-\" +\n padZeros(date.getUTCMonth()+1, 2) + \"-\" +\n padZeros(date.getUTCDate(), 2);\n\n } else {\n return null;\n }\n}\n", + "import Events from \"./events\";\nimport grp from \"./group\";\nimport * as util from \"./util\";\n\n/**\n * Use this class to read and write (and listen for changes to) the selection\n * for a Crosstalk group. This is intended to be used for linked brushing.\n *\n * If two (or more) `SelectionHandle` instances in the same webpage share the\n * same group name, they will share the same state. Setting the selection using\n * one `SelectionHandle` instance will result in the `value` property instantly\n * changing across the others, and `\"change\"` event listeners on all instances\n * (including the one that initiated the sending) will fire.\n *\n * @param {string} [group] - The name of the Crosstalk group, or if none,\n * null or undefined (or any other falsy value). This can be changed later\n * via the [SelectionHandle#setGroup](#setGroup) method.\n * @param {Object} [extraInfo] - An object whose properties will be copied to\n * the event object whenever an event is emitted.\n */\nexport class SelectionHandle {\n\n constructor(group = null, extraInfo = null) {\n this._eventRelay = new Events();\n this._emitter = new util.SubscriptionTracker(this._eventRelay);\n\n // Name of the group we're currently tracking, if any. Can change over time.\n this._group = null;\n // The Var we're currently tracking, if any. Can change over time.\n this._var = null;\n // The event handler subscription we currently have on var.on(\"change\").\n this._varOnChangeSub = null;\n\n this._extraInfo = util.extend({ sender: this }, extraInfo);\n\n this.setGroup(group);\n }\n\n /**\n * Changes the Crosstalk group membership of this SelectionHandle. The group\n * being switched away from (if any) will not have its selection value\n * modified as a result of calling `setGroup`, even if this handle was the\n * most recent handle to set the selection of the group.\n *\n * The group being switched to (if any) will also not have its selection value\n * modified as a result of calling `setGroup`. If you want to set the\n * selection value of the new group, call `set` explicitly.\n *\n * @param {string} group - The name of the Crosstalk group, or null (or\n * undefined) to clear the group.\n */\n setGroup(group) {\n // If group is unchanged, do nothing\n if (this._group === group)\n return;\n // Treat null, undefined, and other falsy values the same\n if (!this._group && !group)\n return;\n\n if (this._var) {\n this._var.off(\"change\", this._varOnChangeSub);\n this._var = null;\n this._varOnChangeSub = null;\n }\n\n this._group = group;\n\n if (group) {\n this._var = grp(group).var(\"selection\");\n let sub = this._var.on(\"change\", (e) => {\n this._eventRelay.trigger(\"change\", e, this);\n });\n this._varOnChangeSub = sub;\n }\n }\n\n /**\n * Retrieves the current selection for the group represented by this\n * `SelectionHandle`.\n *\n * - If no selection is active, then this value will be falsy.\n * - If a selection is active, but no data points are selected, then this\n * value will be an empty array.\n * - If a selection is active, and data points are selected, then the keys\n * of the selected data points will be present in the array.\n */\n get value() {\n return this._var ? this._var.get() : null;\n }\n\n /**\n * Combines the given `extraInfo` (if any) with the handle's default\n * `_extraInfo` (if any).\n * @private\n */\n _mergeExtraInfo(extraInfo) {\n // Important incidental effect: shallow clone is returned\n return util.extend({},\n this._extraInfo ? this._extraInfo : null,\n extraInfo ? extraInfo : null);\n }\n\n /**\n * Overwrites the current selection for the group, and raises the `\"change\"`\n * event among all of the group's '`SelectionHandle` instances (including\n * this one).\n *\n * @fires SelectionHandle#change\n * @param {string[]} selectedKeys - Falsy, empty array, or array of keys (see\n * {@link SelectionHandle#value}).\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any options that were\n * passed into the `SelectionHandle` constructor).\n */\n set(selectedKeys, extraInfo) {\n if (this._var)\n this._var.set(selectedKeys, this._mergeExtraInfo(extraInfo));\n }\n\n /**\n * Overwrites the current selection for the group, and raises the `\"change\"`\n * event among all of the group's '`SelectionHandle` instances (including\n * this one).\n *\n * @fires SelectionHandle#change\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any that were passed\n * into the `SelectionHandle` constructor).\n */\n clear(extraInfo) {\n if (this._var)\n this.set(void 0, this._mergeExtraInfo(extraInfo));\n }\n\n /**\n * Subscribes to events on this `SelectionHandle`.\n *\n * @param {string} eventType - Indicates the type of events to listen to.\n * Currently, only `\"change\"` is supported.\n * @param {SelectionHandle~listener} listener - The callback function that\n * will be invoked when the event occurs.\n * @return {string} - A token to pass to {@link SelectionHandle#off} to cancel\n * this subscription.\n */\n on(eventType, listener) {\n return this._emitter.on(eventType, listener);\n }\n\n /**\n * Cancels event subscriptions created by {@link SelectionHandle#on}.\n *\n * @param {string} eventType - The type of event to unsubscribe.\n * @param {string|SelectionHandle~listener} listener - Either the callback\n * function previously passed into {@link SelectionHandle#on}, or the\n * string that was returned from {@link SelectionHandle#on}.\n */\n off(eventType, listener) {\n return this._emitter.off(eventType, listener);\n }\n\n /**\n * Shuts down the `SelectionHandle` object.\n *\n * Removes all event listeners that were added through this handle.\n */\n close() {\n this._emitter.removeAllListeners();\n this.setGroup(null);\n }\n}\n\n/**\n * @callback SelectionHandle~listener\n * @param {Object} event - An object containing details of the event. For\n * `\"change\"` events, this includes the properties `value` (the new\n * value of the selection, or `undefined` if no selection is active),\n * `oldValue` (the previous value of the selection), and `sender` (the\n * `SelectionHandle` instance that made the change).\n */\n\n/**\n * @event SelectionHandle#change\n * @type {object}\n * @property {object} value - The new value of the selection, or `undefined`\n * if no selection is active.\n * @property {object} oldValue - The previous value of the selection.\n * @property {SelectionHandle} sender - The `SelectionHandle` instance that\n * changed the value.\n */\n", + "export function extend(target, ...sources) {\n for (let i = 0; i < sources.length; i++) {\n let src = sources[i];\n if (typeof(src) === \"undefined\" || src === null)\n continue;\n\n for (let key in src) {\n if (src.hasOwnProperty(key)) {\n target[key] = src[key];\n }\n }\n }\n return target;\n}\n\nexport function checkSorted(list) {\n for (let i = 1; i < list.length; i++) {\n if (list[i] <= list[i-1]) {\n throw new Error(\"List is not sorted or contains duplicate\");\n }\n }\n}\n\nexport function diffSortedLists(a, b) {\n let i_a = 0;\n let i_b = 0;\n\n if (!a) a = [];\n if (!b) b = [];\n\n let a_only = [];\n let b_only = [];\n\n checkSorted(a);\n checkSorted(b);\n\n while (i_a < a.length && i_b < b.length) {\n if (a[i_a] === b[i_b]) {\n i_a++;\n i_b++;\n } else if (a[i_a] < b[i_b]) {\n a_only.push(a[i_a++]);\n } else {\n b_only.push(b[i_b++]);\n }\n }\n\n if (i_a < a.length)\n a_only = a_only.concat(a.slice(i_a));\n if (i_b < b.length)\n b_only = b_only.concat(b.slice(i_b));\n return {\n removed: a_only,\n added: b_only\n };\n}\n\n// Convert from wide: { colA: [1,2,3], colB: [4,5,6], ... }\n// to long: [ {colA: 1, colB: 4}, {colA: 2, colB: 5}, ... ]\nexport function dataframeToD3(df) {\n let names = [];\n let length;\n for (let name in df) {\n if (df.hasOwnProperty(name))\n names.push(name);\n if (typeof(df[name]) !== \"object\" || typeof(df[name].length) === \"undefined\") {\n throw new Error(\"All fields must be arrays\");\n } else if (typeof(length) !== \"undefined\" && length !== df[name].length) {\n throw new Error(\"All fields must be arrays of the same length\");\n }\n length = df[name].length;\n }\n let results = [];\n let item;\n for (let row = 0; row < length; row++) {\n item = {};\n for (let col = 0; col < names.length; col++) {\n item[names[col]] = df[names[col]][row];\n }\n results.push(item);\n }\n return results;\n}\n\n/**\n * Keeps track of all event listener additions/removals and lets all active\n * listeners be removed with a single operation.\n *\n * @private\n */\nexport class SubscriptionTracker {\n constructor(emitter) {\n this._emitter = emitter;\n this._subs = {};\n }\n\n on(eventType, listener) {\n let sub = this._emitter.on(eventType, listener);\n this._subs[sub] = eventType;\n return sub;\n }\n\n off(eventType, listener) {\n let sub = this._emitter.off(eventType, listener);\n if (sub) {\n delete this._subs[sub];\n }\n return sub;\n }\n\n removeAllListeners() {\n let current_subs = this._subs;\n this._subs = {};\n Object.keys(current_subs).forEach((sub) => {\n this._emitter.off(current_subs[sub], sub);\n });\n }\n}\n", + "import Events from \"./events\";\n\nexport default class Var {\n constructor(group, name, /*optional*/ value) {\n this._group = group;\n this._name = name;\n this._value = value;\n this._events = new Events();\n }\n\n get() {\n return this._value;\n }\n\n set(value, /*optional*/ event) {\n if (this._value === value) {\n // Do nothing; the value hasn't changed\n return;\n }\n let oldValue = this._value;\n this._value = value;\n // Alert JavaScript listeners that the value has changed\n let evt = {};\n if (event && typeof(event) === \"object\") {\n for (let k in event) {\n if (event.hasOwnProperty(k))\n evt[k] = event[k];\n }\n }\n evt.oldValue = oldValue;\n evt.value = value;\n this._events.trigger(\"change\", evt, this);\n\n // TODO: Make this extensible, to let arbitrary back-ends know that\n // something has changed\n if (global.Shiny && global.Shiny.onInputChange) {\n global.Shiny.onInputChange(\n \".clientValue-\" +\n (this._group.name !== null ? this._group.name + \"-\" : \"\") +\n this._name,\n typeof(value) === \"undefined\" ? null : value\n );\n }\n }\n\n on(eventType, listener) {\n return this._events.on(eventType, listener);\n }\n\n off(eventType, listener) {\n return this._events.off(eventType, listener);\n }\n}\n" + ] +} \ No newline at end of file diff --git a/public/2024/07/database-connection/index_files/crosstalk/js/crosstalk.min.js b/public/2024/07/database-connection/index_files/crosstalk/js/crosstalk.min.js new file mode 100644 index 0000000..b7ec0ac --- /dev/null +++ b/public/2024/07/database-connection/index_files/crosstalk/js/crosstalk.min.js @@ -0,0 +1,2 @@ +!function o(u,a,l){function s(n,e){if(!a[n]){if(!u[n]){var t="function"==typeof require&&require;if(!e&&t)return t(n,!0);if(f)return f(n,!0);var r=new Error("Cannot find module '"+n+"'");throw r.code="MODULE_NOT_FOUND",r}var i=a[n]={exports:{}};u[n][0].call(i.exports,function(e){var t=u[n][1][e];return s(t||e)},i,i.exports,o,u,a,l)}return a[n].exports}for(var f="function"==typeof require&&require,e=0;e?@[\\\]^`{|}~])/g,"\\$1")+"']"),r=JSON.parse(n[0].innerText),i=e.factory(t,r);o(t).data("crosstalk-instance",i),o(t).addClass("crosstalk-input-bound")}if(t.Shiny){var e=new t.Shiny.InputBinding,u=t.jQuery;u.extend(e,{find:function(e){return u(e).find(".crosstalk-input")},initialize:function(e){var t,n;u(e).hasClass("crosstalk-input-bound")||(n=o(t=e),Object.keys(r).forEach(function(e){n.hasClass(e)&&!n.hasClass("crosstalk-input-bound")&&i(r[e],t)}))},getId:function(e){return e.id},getValue:function(e){},setValue:function(e,t){},receiveMessage:function(e,t){},subscribe:function(e,t){u(e).data("crosstalk-instance").resume()},unsubscribe:function(e){u(e).data("crosstalk-instance").suspend()}}),t.Shiny.inputBindings.register(e,"crosstalk.inputBinding")}}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{}],7:[function(r,e,t){(function(e){"use strict";var t=function(e){{if(e&&e.__esModule)return e;var t={};if(null!=e)for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n]);return t.default=e,t}}(r("./input")),n=r("./filter");var a=e.jQuery;t.register({className:"crosstalk-input-checkboxgroup",factory:function(e,r){var i=new n.FilterHandle(r.group),o=void 0,u=a(e);return u.on("change","input[type='checkbox']",function(){var e=u.find("input[type='checkbox']:checked");if(0===e.length)o=null,i.clear();else{var t={};e.each(function(){r.map[this.value].forEach(function(e){t[e]=!0})});var n=Object.keys(t);n.sort(),o=n,i.set(n)}}),{suspend:function(){i.clear()},resume:function(){o&&i.set(o)}}}})}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"./filter":2,"./input":6}],8:[function(r,e,t){(function(e){"use strict";var t=n(r("./input")),l=n(r("./util")),s=r("./filter");function n(e){if(e&&e.__esModule)return e;var t={};if(null!=e)for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n]);return t.default=e,t}var f=e.jQuery;t.register({className:"crosstalk-input-select",factory:function(e,n){var t=l.dataframeToD3(n.items),r={options:[{value:"",label:"(All)"}].concat(t),valueField:"value",labelField:"label",searchField:"label"},i=f(e).find("select")[0],o=f(i).selectize(r)[0].selectize,u=new s.FilterHandle(n.group),a=void 0;return o.on("change",function(){if(0===o.items.length)a=null,u.clear();else{var t={};o.items.forEach(function(e){n.map[e].forEach(function(e){t[e]=!0})});var e=Object.keys(t);e.sort(),a=e,u.set(e)}}),{suspend:function(){u.clear()},resume:function(){a&&u.set(a)}}}})}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"./filter":2,"./input":6,"./util":11}],9:[function(n,e,t){(function(e){"use strict";var d=function(e,t){if(Array.isArray(e))return e;if(Symbol.iterator in Object(e))return function(e,t){var n=[],r=!0,i=!1,o=void 0;try{for(var u,a=e[Symbol.iterator]();!(r=(u=a.next()).done)&&(n.push(u.value),!t||n.length!==t);r=!0);}catch(e){i=!0,o=e}finally{try{!r&&a.return&&a.return()}finally{if(i)throw o}}return n}(e,t);throw new TypeError("Invalid attempt to destructure non-iterable instance")},t=function(e){{if(e&&e.__esModule)return e;var t={};if(null!=e)for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n]);return t.default=e,t}}(n("./input")),a=n("./filter");var v=e.jQuery,p=e.strftime;function y(e,t){for(var n=e.toString();n.length {\n this._eventRelay.trigger(\"change\", e, this);\n });\n this._varOnChangeSub = sub;\n }\n }\n\n /**\n * Combine the given `extraInfo` (if any) with the handle's default\n * `_extraInfo` (if any).\n * @private\n */\n _mergeExtraInfo(extraInfo) {\n return util.extend({},\n this._extraInfo ? this._extraInfo : null,\n extraInfo ? extraInfo : null);\n }\n\n /**\n * Close the handle. This clears this handle's contribution to the filter set,\n * and unsubscribes all event listeners.\n */\n close() {\n this._emitter.removeAllListeners();\n this.clear();\n this.setGroup(null);\n }\n\n /**\n * Clear this handle's contribution to the filter set.\n *\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any options that were\n * passed into the `FilterHandle` constructor).\n * \n * @fires FilterHandle#change\n */\n clear(extraInfo) {\n if (!this._filterSet)\n return;\n this._filterSet.clear(this._id);\n this._onChange(extraInfo);\n }\n\n /**\n * Set this handle's contribution to the filter set. This array should consist\n * of the keys of the rows that _should_ be displayed; any keys that are not\n * present in the array will be considered _filtered out_. Note that multiple\n * `FilterHandle` instances in the group may each contribute an array of keys,\n * and only those keys that appear in _all_ of the arrays make it through the\n * filter.\n *\n * @param {string[]} keys - Empty array, or array of keys. To clear the\n * filter, don't pass an empty array; instead, use the\n * {@link FilterHandle#clear} method.\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any options that were\n * passed into the `FilterHandle` constructor).\n * \n * @fires FilterHandle#change\n */\n set(keys, extraInfo) {\n if (!this._filterSet)\n return;\n this._filterSet.update(this._id, keys);\n this._onChange(extraInfo);\n }\n\n /**\n * @return {string[]|null} - Either: 1) an array of keys that made it through\n * all of the `FilterHandle` instances, or, 2) `null`, which means no filter\n * is being applied (all data should be displayed).\n */\n get filteredKeys() {\n return this._filterSet ? this._filterSet.value : null;\n }\n\n /**\n * Subscribe to events on this `FilterHandle`.\n *\n * @param {string} eventType - Indicates the type of events to listen to.\n * Currently, only `\"change\"` is supported.\n * @param {FilterHandle~listener} listener - The callback function that\n * will be invoked when the event occurs.\n * @return {string} - A token to pass to {@link FilterHandle#off} to cancel\n * this subscription.\n */\n on(eventType, listener) {\n return this._emitter.on(eventType, listener);\n }\n\n /**\n * Cancel event subscriptions created by {@link FilterHandle#on}.\n *\n * @param {string} eventType - The type of event to unsubscribe.\n * @param {string|FilterHandle~listener} listener - Either the callback\n * function previously passed into {@link FilterHandle#on}, or the\n * string that was returned from {@link FilterHandle#on}.\n */\n off(eventType, listener) {\n return this._emitter.off(eventType, listener);\n }\n\n _onChange(extraInfo) {\n if (!this._filterSet)\n return;\n this._filterVar.set(this._filterSet.value, this._mergeExtraInfo(extraInfo));\n }\n\n /**\n * @callback FilterHandle~listener\n * @param {Object} event - An object containing details of the event. For\n * `\"change\"` events, this includes the properties `value` (the new\n * value of the filter set, or `null` if no filter set is active),\n * `oldValue` (the previous value of the filter set), and `sender` (the\n * `FilterHandle` instance that made the change).\n */\n\n}\n\n/**\n * @event FilterHandle#change\n * @type {object}\n * @property {object} value - The new value of the filter set, or `null`\n * if no filter set is active.\n * @property {object} oldValue - The previous value of the filter set.\n * @property {FilterHandle} sender - The `FilterHandle` instance that\n * changed the value.\n */\n","import { diffSortedLists } from \"./util\";\n\nfunction naturalComparator(a, b) {\n if (a === b) {\n return 0;\n } else if (a < b) {\n return -1;\n } else if (a > b) {\n return 1;\n }\n}\n\n/**\n * @private\n */\nexport default class FilterSet {\n constructor() {\n this.reset();\n }\n\n reset() {\n // Key: handle ID, Value: array of selected keys, or null\n this._handles = {};\n // Key: key string, Value: count of handles that include it\n this._keys = {};\n this._value = null;\n this._activeHandles = 0;\n }\n\n get value() {\n return this._value;\n }\n\n update(handleId, keys) {\n if (keys !== null) {\n keys = keys.slice(0); // clone before sorting\n keys.sort(naturalComparator);\n }\n\n let {added, removed} = diffSortedLists(this._handles[handleId], keys);\n this._handles[handleId] = keys;\n\n for (let i = 0; i < added.length; i++) {\n this._keys[added[i]] = (this._keys[added[i]] || 0) + 1;\n }\n for (let i = 0; i < removed.length; i++) {\n this._keys[removed[i]]--;\n }\n\n this._updateValue(keys);\n }\n\n /**\n * @param {string[]} keys Sorted array of strings that indicate\n * a superset of possible keys.\n * @private\n */\n _updateValue(keys = this._allKeys) {\n let handleCount = Object.keys(this._handles).length;\n if (handleCount === 0) {\n this._value = null;\n } else {\n this._value = [];\n for (let i = 0; i < keys.length; i++) {\n let count = this._keys[keys[i]];\n if (count === handleCount) {\n this._value.push(keys[i]);\n }\n }\n }\n }\n\n clear(handleId) {\n if (typeof(this._handles[handleId]) === \"undefined\") {\n return;\n }\n\n let keys = this._handles[handleId];\n if (!keys) {\n keys = [];\n }\n\n for (let i = 0; i < keys.length; i++) {\n this._keys[keys[i]]--;\n }\n delete this._handles[handleId];\n\n this._updateValue();\n }\n\n get _allKeys() {\n let allKeys = Object.keys(this._keys);\n allKeys.sort(naturalComparator);\n return allKeys;\n }\n}\n","import Var from \"./var\";\n\n// Use a global so that multiple copies of crosstalk.js can be loaded and still\n// have groups behave as singletons across all copies.\nglobal.__crosstalk_groups = global.__crosstalk_groups || {};\nlet groups = global.__crosstalk_groups;\n\nexport default function group(groupName) {\n if (groupName && typeof(groupName) === \"string\") {\n if (!groups.hasOwnProperty(groupName)) {\n groups[groupName] = new Group(groupName);\n }\n return groups[groupName];\n } else if (typeof(groupName) === \"object\" && groupName._vars && groupName.var) {\n // Appears to already be a group object\n return groupName;\n } else if (Array.isArray(groupName) &&\n groupName.length == 1 &&\n typeof(groupName[0]) === \"string\") {\n return group(groupName[0]);\n } else {\n throw new Error(\"Invalid groupName argument\");\n }\n}\n\nclass Group {\n constructor(name) {\n this.name = name;\n this._vars = {};\n }\n\n var(name) {\n if (!name || typeof(name) !== \"string\") {\n throw new Error(\"Invalid var name\");\n }\n\n if (!this._vars.hasOwnProperty(name))\n this._vars[name] = new Var(this, name);\n return this._vars[name];\n }\n\n has(name) {\n if (!name || typeof(name) !== \"string\") {\n throw new Error(\"Invalid var name\");\n }\n\n return this._vars.hasOwnProperty(name);\n }\n}\n","import group from \"./group\";\nimport { SelectionHandle } from \"./selection\";\nimport { FilterHandle } from \"./filter\";\nimport { bind } from \"./input\";\nimport \"./input_selectize\";\nimport \"./input_checkboxgroup\";\nimport \"./input_slider\";\n\nconst defaultGroup = group(\"default\");\n\nfunction var_(name) {\n return defaultGroup.var(name);\n}\n\nfunction has(name) {\n return defaultGroup.has(name);\n}\n\nif (global.Shiny) {\n global.Shiny.addCustomMessageHandler(\"update-client-value\", function(message) {\n if (typeof(message.group) === \"string\") {\n group(message.group).var(message.name).set(message.value);\n } else {\n var_(message.name).set(message.value);\n }\n });\n}\n\nconst crosstalk = {\n group: group,\n var: var_,\n has: has,\n SelectionHandle: SelectionHandle,\n FilterHandle: FilterHandle,\n bind: bind\n};\n\n/**\n * @namespace crosstalk\n */\nexport default crosstalk;\nglobal.crosstalk = crosstalk;\n","let $ = global.jQuery;\n\nlet bindings = {};\n\nexport function register(reg) {\n bindings[reg.className] = reg;\n if (global.document && global.document.readyState !== \"complete\") {\n $(() => {\n bind();\n });\n } else if (global.document) {\n setTimeout(bind, 100);\n }\n}\n\nexport function bind() {\n Object.keys(bindings).forEach(function(className) {\n let binding = bindings[className];\n $(\".\" + binding.className).not(\".crosstalk-input-bound\").each(function(i, el) {\n bindInstance(binding, el);\n });\n });\n}\n\n// Escape jQuery identifier\nfunction $escape(val) {\n return val.replace(/([!\"#$%&'()*+,./:;<=>?@[\\\\\\]^`{|}~])/g, \"\\\\$1\");\n}\n\nfunction bindEl(el) {\n let $el = $(el);\n Object.keys(bindings).forEach(function(className) {\n if ($el.hasClass(className) && !$el.hasClass(\"crosstalk-input-bound\")) {\n let binding = bindings[className];\n bindInstance(binding, el);\n }\n });\n}\n\nfunction bindInstance(binding, el) {\n let jsonEl = $(el).find(\"script[type='application/json'][data-for='\" + $escape(el.id) + \"']\");\n let data = JSON.parse(jsonEl[0].innerText);\n\n let instance = binding.factory(el, data);\n $(el).data(\"crosstalk-instance\", instance);\n $(el).addClass(\"crosstalk-input-bound\");\n}\n\nif (global.Shiny) {\n let inputBinding = new global.Shiny.InputBinding();\n let $ = global.jQuery;\n $.extend(inputBinding, {\n find: function(scope) {\n return $(scope).find(\".crosstalk-input\");\n },\n initialize: function(el) {\n if (!$(el).hasClass(\"crosstalk-input-bound\")) {\n bindEl(el);\n }\n },\n getId: function(el) {\n return el.id;\n },\n getValue: function(el) {\n\n },\n setValue: function(el, value) {\n\n },\n receiveMessage: function(el, data) {\n\n },\n subscribe: function(el, callback) {\n $(el).data(\"crosstalk-instance\").resume();\n },\n unsubscribe: function(el) {\n $(el).data(\"crosstalk-instance\").suspend();\n }\n });\n global.Shiny.inputBindings.register(inputBinding, \"crosstalk.inputBinding\");\n}\n","import * as input from \"./input\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\n\ninput.register({\n className: \"crosstalk-input-checkboxgroup\",\n\n factory: function(el, data) {\n /*\n * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n * group: \"ct-groupname\"\n */\n let ctHandle = new FilterHandle(data.group);\n\n let lastKnownKeys;\n let $el = $(el);\n $el.on(\"change\", \"input[type='checkbox']\", function() {\n let checked = $el.find(\"input[type='checkbox']:checked\");\n if (checked.length === 0) {\n lastKnownKeys = null;\n ctHandle.clear();\n } else {\n let keys = {};\n checked.each(function() {\n data.map[this.value].forEach(function(key) {\n keys[key] = true;\n });\n });\n let keyArray = Object.keys(keys);\n keyArray.sort();\n lastKnownKeys = keyArray;\n ctHandle.set(keyArray);\n }\n });\n\n return {\n suspend: function() {\n ctHandle.clear();\n },\n resume: function() {\n if (lastKnownKeys)\n ctHandle.set(lastKnownKeys);\n }\n };\n }\n});\n","import * as input from \"./input\";\nimport * as util from \"./util\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\n\ninput.register({\n className: \"crosstalk-input-select\",\n\n factory: function(el, data) {\n /*\n * items: {value: [...], label: [...]}\n * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n * group: \"ct-groupname\"\n */\n\n let first = [{value: \"\", label: \"(All)\"}];\n let items = util.dataframeToD3(data.items);\n let opts = {\n options: first.concat(items),\n valueField: \"value\",\n labelField: \"label\",\n searchField: \"label\"\n };\n\n let select = $(el).find(\"select\")[0];\n\n let selectize = $(select).selectize(opts)[0].selectize;\n\n let ctHandle = new FilterHandle(data.group);\n\n let lastKnownKeys;\n selectize.on(\"change\", function() {\n if (selectize.items.length === 0) {\n lastKnownKeys = null;\n ctHandle.clear();\n } else {\n let keys = {};\n selectize.items.forEach(function(group) {\n data.map[group].forEach(function(key) {\n keys[key] = true;\n });\n });\n let keyArray = Object.keys(keys);\n keyArray.sort();\n lastKnownKeys = keyArray;\n ctHandle.set(keyArray);\n }\n });\n\n return {\n suspend: function() {\n ctHandle.clear();\n },\n resume: function() {\n if (lastKnownKeys)\n ctHandle.set(lastKnownKeys);\n }\n };\n }\n});\n","import * as input from \"./input\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\nlet strftime = global.strftime;\n\ninput.register({\n className: \"crosstalk-input-slider\",\n\n factory: function(el, data) {\n /*\n * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n * group: \"ct-groupname\"\n */\n let ctHandle = new FilterHandle(data.group);\n\n let opts = {};\n let $el = $(el).find(\"input\");\n let dataType = $el.data(\"data-type\");\n let timeFormat = $el.data(\"time-format\");\n let round = $el.data(\"round\");\n let timeFormatter;\n\n // Set up formatting functions\n if (dataType === \"date\") {\n timeFormatter = strftime.utc();\n opts.prettify = function(num) {\n return timeFormatter(timeFormat, new Date(num));\n };\n\n } else if (dataType === \"datetime\") {\n let timezone = $el.data(\"timezone\");\n if (timezone)\n timeFormatter = strftime.timezone(timezone);\n else\n timeFormatter = strftime;\n\n opts.prettify = function(num) {\n return timeFormatter(timeFormat, new Date(num));\n };\n } else if (dataType === \"number\") {\n if (typeof round !== \"undefined\")\n opts.prettify = function(num) {\n let factor = Math.pow(10, round);\n return Math.round(num * factor) / factor;\n };\n }\n\n $el.ionRangeSlider(opts);\n\n function getValue() {\n let result = $el.data(\"ionRangeSlider\").result;\n\n // Function for converting numeric value from slider to appropriate type.\n let convert;\n let dataType = $el.data(\"data-type\");\n if (dataType === \"date\") {\n convert = function(val) {\n return formatDateUTC(new Date(+val));\n };\n } else if (dataType === \"datetime\") {\n convert = function(val) {\n // Convert ms to s\n return +val / 1000;\n };\n } else {\n convert = function(val) { return +val; };\n }\n\n if ($el.data(\"ionRangeSlider\").options.type === \"double\") {\n return [convert(result.from), convert(result.to)];\n } else {\n return convert(result.from);\n }\n }\n\n let lastKnownKeys = null;\n\n $el.on(\"change.crosstalkSliderInput\", function(event) {\n if (!$el.data(\"updating\") && !$el.data(\"animating\")) {\n let [from, to] = getValue();\n let keys = [];\n for (let i = 0; i < data.values.length; i++) {\n let val = data.values[i];\n if (val >= from && val <= to) {\n keys.push(data.keys[i]);\n }\n }\n keys.sort();\n ctHandle.set(keys);\n lastKnownKeys = keys;\n }\n });\n\n\n // let $el = $(el);\n // $el.on(\"change\", \"input[type=\"checkbox\"]\", function() {\n // let checked = $el.find(\"input[type=\"checkbox\"]:checked\");\n // if (checked.length === 0) {\n // ctHandle.clear();\n // } else {\n // let keys = {};\n // checked.each(function() {\n // data.map[this.value].forEach(function(key) {\n // keys[key] = true;\n // });\n // });\n // let keyArray = Object.keys(keys);\n // keyArray.sort();\n // ctHandle.set(keyArray);\n // }\n // });\n\n return {\n suspend: function() {\n ctHandle.clear();\n },\n resume: function() {\n if (lastKnownKeys)\n ctHandle.set(lastKnownKeys);\n }\n };\n }\n});\n\n\n// Convert a number to a string with leading zeros\nfunction padZeros(n, digits) {\n let str = n.toString();\n while (str.length < digits)\n str = \"0\" + str;\n return str;\n}\n\n// Given a Date object, return a string in yyyy-mm-dd format, using the\n// UTC date. This may be a day off from the date in the local time zone.\nfunction formatDateUTC(date) {\n if (date instanceof Date) {\n return date.getUTCFullYear() + \"-\" +\n padZeros(date.getUTCMonth()+1, 2) + \"-\" +\n padZeros(date.getUTCDate(), 2);\n\n } else {\n return null;\n }\n}\n","import Events from \"./events\";\nimport grp from \"./group\";\nimport * as util from \"./util\";\n\n/**\n * Use this class to read and write (and listen for changes to) the selection\n * for a Crosstalk group. This is intended to be used for linked brushing.\n *\n * If two (or more) `SelectionHandle` instances in the same webpage share the\n * same group name, they will share the same state. Setting the selection using\n * one `SelectionHandle` instance will result in the `value` property instantly\n * changing across the others, and `\"change\"` event listeners on all instances\n * (including the one that initiated the sending) will fire.\n *\n * @param {string} [group] - The name of the Crosstalk group, or if none,\n * null or undefined (or any other falsy value). This can be changed later\n * via the [SelectionHandle#setGroup](#setGroup) method.\n * @param {Object} [extraInfo] - An object whose properties will be copied to\n * the event object whenever an event is emitted.\n */\nexport class SelectionHandle {\n\n constructor(group = null, extraInfo = null) {\n this._eventRelay = new Events();\n this._emitter = new util.SubscriptionTracker(this._eventRelay);\n\n // Name of the group we're currently tracking, if any. Can change over time.\n this._group = null;\n // The Var we're currently tracking, if any. Can change over time.\n this._var = null;\n // The event handler subscription we currently have on var.on(\"change\").\n this._varOnChangeSub = null;\n\n this._extraInfo = util.extend({ sender: this }, extraInfo);\n\n this.setGroup(group);\n }\n\n /**\n * Changes the Crosstalk group membership of this SelectionHandle. The group\n * being switched away from (if any) will not have its selection value\n * modified as a result of calling `setGroup`, even if this handle was the\n * most recent handle to set the selection of the group.\n *\n * The group being switched to (if any) will also not have its selection value\n * modified as a result of calling `setGroup`. If you want to set the\n * selection value of the new group, call `set` explicitly.\n *\n * @param {string} group - The name of the Crosstalk group, or null (or\n * undefined) to clear the group.\n */\n setGroup(group) {\n // If group is unchanged, do nothing\n if (this._group === group)\n return;\n // Treat null, undefined, and other falsy values the same\n if (!this._group && !group)\n return;\n\n if (this._var) {\n this._var.off(\"change\", this._varOnChangeSub);\n this._var = null;\n this._varOnChangeSub = null;\n }\n\n this._group = group;\n\n if (group) {\n this._var = grp(group).var(\"selection\");\n let sub = this._var.on(\"change\", (e) => {\n this._eventRelay.trigger(\"change\", e, this);\n });\n this._varOnChangeSub = sub;\n }\n }\n\n /**\n * Retrieves the current selection for the group represented by this\n * `SelectionHandle`.\n *\n * - If no selection is active, then this value will be falsy.\n * - If a selection is active, but no data points are selected, then this\n * value will be an empty array.\n * - If a selection is active, and data points are selected, then the keys\n * of the selected data points will be present in the array.\n */\n get value() {\n return this._var ? this._var.get() : null;\n }\n\n /**\n * Combines the given `extraInfo` (if any) with the handle's default\n * `_extraInfo` (if any).\n * @private\n */\n _mergeExtraInfo(extraInfo) {\n // Important incidental effect: shallow clone is returned\n return util.extend({},\n this._extraInfo ? this._extraInfo : null,\n extraInfo ? extraInfo : null);\n }\n\n /**\n * Overwrites the current selection for the group, and raises the `\"change\"`\n * event among all of the group's '`SelectionHandle` instances (including\n * this one).\n *\n * @fires SelectionHandle#change\n * @param {string[]} selectedKeys - Falsy, empty array, or array of keys (see\n * {@link SelectionHandle#value}).\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any options that were\n * passed into the `SelectionHandle` constructor).\n */\n set(selectedKeys, extraInfo) {\n if (this._var)\n this._var.set(selectedKeys, this._mergeExtraInfo(extraInfo));\n }\n\n /**\n * Overwrites the current selection for the group, and raises the `\"change\"`\n * event among all of the group's '`SelectionHandle` instances (including\n * this one).\n *\n * @fires SelectionHandle#change\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any that were passed\n * into the `SelectionHandle` constructor).\n */\n clear(extraInfo) {\n if (this._var)\n this.set(void 0, this._mergeExtraInfo(extraInfo));\n }\n\n /**\n * Subscribes to events on this `SelectionHandle`.\n *\n * @param {string} eventType - Indicates the type of events to listen to.\n * Currently, only `\"change\"` is supported.\n * @param {SelectionHandle~listener} listener - The callback function that\n * will be invoked when the event occurs.\n * @return {string} - A token to pass to {@link SelectionHandle#off} to cancel\n * this subscription.\n */\n on(eventType, listener) {\n return this._emitter.on(eventType, listener);\n }\n\n /**\n * Cancels event subscriptions created by {@link SelectionHandle#on}.\n *\n * @param {string} eventType - The type of event to unsubscribe.\n * @param {string|SelectionHandle~listener} listener - Either the callback\n * function previously passed into {@link SelectionHandle#on}, or the\n * string that was returned from {@link SelectionHandle#on}.\n */\n off(eventType, listener) {\n return this._emitter.off(eventType, listener);\n }\n\n /**\n * Shuts down the `SelectionHandle` object.\n *\n * Removes all event listeners that were added through this handle.\n */\n close() {\n this._emitter.removeAllListeners();\n this.setGroup(null);\n }\n}\n\n/**\n * @callback SelectionHandle~listener\n * @param {Object} event - An object containing details of the event. For\n * `\"change\"` events, this includes the properties `value` (the new\n * value of the selection, or `undefined` if no selection is active),\n * `oldValue` (the previous value of the selection), and `sender` (the\n * `SelectionHandle` instance that made the change).\n */\n\n/**\n * @event SelectionHandle#change\n * @type {object}\n * @property {object} value - The new value of the selection, or `undefined`\n * if no selection is active.\n * @property {object} oldValue - The previous value of the selection.\n * @property {SelectionHandle} sender - The `SelectionHandle` instance that\n * changed the value.\n */\n","export function extend(target, ...sources) {\n for (let i = 0; i < sources.length; i++) {\n let src = sources[i];\n if (typeof(src) === \"undefined\" || src === null)\n continue;\n\n for (let key in src) {\n if (src.hasOwnProperty(key)) {\n target[key] = src[key];\n }\n }\n }\n return target;\n}\n\nexport function checkSorted(list) {\n for (let i = 1; i < list.length; i++) {\n if (list[i] <= list[i-1]) {\n throw new Error(\"List is not sorted or contains duplicate\");\n }\n }\n}\n\nexport function diffSortedLists(a, b) {\n let i_a = 0;\n let i_b = 0;\n\n if (!a) a = [];\n if (!b) b = [];\n\n let a_only = [];\n let b_only = [];\n\n checkSorted(a);\n checkSorted(b);\n\n while (i_a < a.length && i_b < b.length) {\n if (a[i_a] === b[i_b]) {\n i_a++;\n i_b++;\n } else if (a[i_a] < b[i_b]) {\n a_only.push(a[i_a++]);\n } else {\n b_only.push(b[i_b++]);\n }\n }\n\n if (i_a < a.length)\n a_only = a_only.concat(a.slice(i_a));\n if (i_b < b.length)\n b_only = b_only.concat(b.slice(i_b));\n return {\n removed: a_only,\n added: b_only\n };\n}\n\n// Convert from wide: { colA: [1,2,3], colB: [4,5,6], ... }\n// to long: [ {colA: 1, colB: 4}, {colA: 2, colB: 5}, ... ]\nexport function dataframeToD3(df) {\n let names = [];\n let length;\n for (let name in df) {\n if (df.hasOwnProperty(name))\n names.push(name);\n if (typeof(df[name]) !== \"object\" || typeof(df[name].length) === \"undefined\") {\n throw new Error(\"All fields must be arrays\");\n } else if (typeof(length) !== \"undefined\" && length !== df[name].length) {\n throw new Error(\"All fields must be arrays of the same length\");\n }\n length = df[name].length;\n }\n let results = [];\n let item;\n for (let row = 0; row < length; row++) {\n item = {};\n for (let col = 0; col < names.length; col++) {\n item[names[col]] = df[names[col]][row];\n }\n results.push(item);\n }\n return results;\n}\n\n/**\n * Keeps track of all event listener additions/removals and lets all active\n * listeners be removed with a single operation.\n *\n * @private\n */\nexport class SubscriptionTracker {\n constructor(emitter) {\n this._emitter = emitter;\n this._subs = {};\n }\n\n on(eventType, listener) {\n let sub = this._emitter.on(eventType, listener);\n this._subs[sub] = eventType;\n return sub;\n }\n\n off(eventType, listener) {\n let sub = this._emitter.off(eventType, listener);\n if (sub) {\n delete this._subs[sub];\n }\n return sub;\n }\n\n removeAllListeners() {\n let current_subs = this._subs;\n this._subs = {};\n Object.keys(current_subs).forEach((sub) => {\n this._emitter.off(current_subs[sub], sub);\n });\n }\n}\n","import Events from \"./events\";\n\nexport default class Var {\n constructor(group, name, /*optional*/ value) {\n this._group = group;\n this._name = name;\n this._value = value;\n this._events = new Events();\n }\n\n get() {\n return this._value;\n }\n\n set(value, /*optional*/ event) {\n if (this._value === value) {\n // Do nothing; the value hasn't changed\n return;\n }\n let oldValue = this._value;\n this._value = value;\n // Alert JavaScript listeners that the value has changed\n let evt = {};\n if (event && typeof(event) === \"object\") {\n for (let k in event) {\n if (event.hasOwnProperty(k))\n evt[k] = event[k];\n }\n }\n evt.oldValue = oldValue;\n evt.value = value;\n this._events.trigger(\"change\", evt, this);\n\n // TODO: Make this extensible, to let arbitrary back-ends know that\n // something has changed\n if (global.Shiny && global.Shiny.onInputChange) {\n global.Shiny.onInputChange(\n \".clientValue-\" +\n (this._group.name !== null ? this._group.name + \"-\" : \"\") +\n this._name,\n typeof(value) === \"undefined\" ? null : value\n );\n }\n }\n\n on(eventType, listener) {\n return this._events.on(eventType, listener);\n }\n\n off(eventType, listener) {\n return this._events.off(eventType, listener);\n }\n}\n"]} \ No newline at end of file diff --git a/public/2024/07/database-connection/index_files/crosstalk/scss/crosstalk.scss b/public/2024/07/database-connection/index_files/crosstalk/scss/crosstalk.scss new file mode 100644 index 0000000..3566561 --- /dev/null +++ b/public/2024/07/database-connection/index_files/crosstalk/scss/crosstalk.scss @@ -0,0 +1,75 @@ +/* Adjust margins outwards, so column contents line up with the edges of the + parent of container-fluid. */ +.container-fluid.crosstalk-bscols { + margin-left: -30px; + margin-right: -30px; + white-space: normal; +} + +/* But don't adjust the margins outwards if we're directly under the body, + i.e. we were the top-level of something at the console. */ +body > .container-fluid.crosstalk-bscols { + margin-left: auto; + margin-right: auto; +} + +.crosstalk-input-checkboxgroup .crosstalk-options-group .crosstalk-options-column { + display: inline-block; + padding-right: 12px; + vertical-align: top; +} + +@media only screen and (max-width:480px) { + .crosstalk-input-checkboxgroup .crosstalk-options-group .crosstalk-options-column { + display: block; + padding-right: inherit; + } +} + +/* Relevant BS3 styles to make filter_checkbox() look reasonable without Bootstrap */ +.crosstalk-input { + margin-bottom: 15px; /* a la .form-group */ + .control-label { + margin-bottom: 0; + vertical-align: middle; + } + input[type="checkbox"] { + margin: 4px 0 0; + margin-top: 1px; + line-height: normal; + } + .checkbox { + position: relative; + display: block; + margin-top: 10px; + margin-bottom: 10px; + } + .checkbox > label{ + padding-left: 20px; + margin-bottom: 0; + font-weight: 400; + cursor: pointer; + } + .checkbox input[type="checkbox"], + .checkbox-inline input[type="checkbox"] { + position: absolute; + margin-top: 2px; + margin-left: -20px; + } + .checkbox + .checkbox { + margin-top: -5px; + } + .checkbox-inline { + position: relative; + display: inline-block; + padding-left: 20px; + margin-bottom: 0; + font-weight: 400; + vertical-align: middle; + cursor: pointer; + } + .checkbox-inline + .checkbox-inline { + margin-top: 0; + margin-left: 10px; + } +} diff --git a/public/2024/07/database-connection/index_files/datatables-binding/datatables.js b/public/2024/07/database-connection/index_files/datatables-binding/datatables.js new file mode 100644 index 0000000..765b53c --- /dev/null +++ b/public/2024/07/database-connection/index_files/datatables-binding/datatables.js @@ -0,0 +1,1539 @@ +(function() { + +// some helper functions: using a global object DTWidget so that it can be used +// in JS() code, e.g. datatable(options = list(foo = JS('code'))); unlike R's +// dynamic scoping, when 'code' is eval'ed, JavaScript does not know objects +// from the "parent frame", e.g. JS('DTWidget') will not work unless it was made +// a global object +var DTWidget = {}; + +// 123456666.7890 -> 123,456,666.7890 +var markInterval = function(d, digits, interval, mark, decMark, precision) { + x = precision ? d.toPrecision(digits) : d.toFixed(digits); + if (!/^-?[\d.]+$/.test(x)) return x; + var xv = x.split('.'); + if (xv.length > 2) return x; // should have at most one decimal point + xv[0] = xv[0].replace(new RegExp('\\B(?=(\\d{' + interval + '})+(?!\\d))', 'g'), mark); + return xv.join(decMark); +}; + +DTWidget.formatCurrency = function(data, currency, digits, interval, mark, decMark, before, zeroPrint) { + var d = parseFloat(data); + if (isNaN(d)) return ''; + if (zeroPrint !== null && d === 0.0) return zeroPrint; + var res = markInterval(d, digits, interval, mark, decMark); + res = before ? (/^-/.test(res) ? '-' + currency + res.replace(/^-/, '') : currency + res) : + res + currency; + return res; +}; + +DTWidget.formatString = function(data, prefix, suffix) { + var d = data; + if (d === null) return ''; + return prefix + d + suffix; +}; + +DTWidget.formatPercentage = function(data, digits, interval, mark, decMark, zeroPrint) { + var d = parseFloat(data); + if (isNaN(d)) return ''; + if (zeroPrint !== null && d === 0.0) return zeroPrint; + return markInterval(d * 100, digits, interval, mark, decMark) + '%'; +}; + +DTWidget.formatRound = function(data, digits, interval, mark, decMark, zeroPrint) { + var d = parseFloat(data); + if (isNaN(d)) return ''; + if (zeroPrint !== null && d === 0.0) return zeroPrint; + return markInterval(d, digits, interval, mark, decMark); +}; + +DTWidget.formatSignif = function(data, digits, interval, mark, decMark, zeroPrint) { + var d = parseFloat(data); + if (isNaN(d)) return ''; + if (zeroPrint !== null && d === 0.0) return zeroPrint; + return markInterval(d, digits, interval, mark, decMark, true); +}; + +DTWidget.formatDate = function(data, method, params) { + var d = data; + if (d === null) return ''; + // (new Date('2015-10-28')).toDateString() may return 2015-10-27 because the + // actual time created could be like 'Tue Oct 27 2015 19:00:00 GMT-0500 (CDT)', + // i.e. the date-only string is treated as UTC time instead of local time + if ((method === 'toDateString' || method === 'toLocaleDateString') && /^\d{4,}\D\d{2}\D\d{2}$/.test(d)) { + d = d.split(/\D/); + d = new Date(d[0], d[1] - 1, d[2]); + } else { + d = new Date(d); + } + return d[method].apply(d, params); +}; + +window.DTWidget = DTWidget; + +// A helper function to update the properties of existing filters +var setFilterProps = function(td, props) { + // Update enabled/disabled state + var $input = $(td).find('input').first(); + var searchable = $input.data('searchable'); + $input.prop('disabled', !searchable || props.disabled); + + // Based on the filter type, set its new values + var type = td.getAttribute('data-type'); + if (['factor', 'logical'].includes(type)) { + // Reformat the new dropdown options for use with selectize + var new_vals = props.params.options.map(function(item) { + return { text: item, value: item }; + }); + + // Find the selectize object + var dropdown = $(td).find('.selectized').eq(0)[0].selectize; + + // Note the current values + var old_vals = dropdown.getValue(); + + // Remove the existing values + dropdown.clearOptions(); + + // Add the new options + dropdown.addOption(new_vals); + + // Preserve the existing values + dropdown.setValue(old_vals); + + } else if (['number', 'integer', 'date', 'time'].includes(type)) { + // Apply internal scaling to new limits. Updating scale not yet implemented. + var slider = $(td).find('.noUi-target').eq(0); + var scale = Math.pow(10, Math.max(0, +slider.data('scale') || 0)); + var new_vals = [props.params.min * scale, props.params.max * scale]; + + // Note what the new limits will be just for this filter + var new_lims = new_vals.slice(); + + // Determine the current values and limits + var old_vals = slider.val().map(Number); + var old_lims = slider.noUiSlider('options').range; + old_lims = [old_lims.min, old_lims.max]; + + // Preserve the current values if filters have been applied; otherwise, apply no filtering + if (old_vals[0] != old_lims[0]) { + new_vals[0] = Math.max(old_vals[0], new_vals[0]); + } + + if (old_vals[1] != old_lims[1]) { + new_vals[1] = Math.min(old_vals[1], new_vals[1]); + } + + // Update the endpoints of the slider + slider.noUiSlider({ + start: new_vals, + range: {'min': new_lims[0], 'max': new_lims[1]} + }, true); + } +}; + +var transposeArray2D = function(a) { + return a.length === 0 ? a : HTMLWidgets.transposeArray2D(a); +}; + +var crosstalkPluginsInstalled = false; + +function maybeInstallCrosstalkPlugins() { + if (crosstalkPluginsInstalled) + return; + crosstalkPluginsInstalled = true; + + $.fn.dataTable.ext.afnFiltering.push( + function(oSettings, aData, iDataIndex) { + var ctfilter = oSettings.nTable.ctfilter; + if (ctfilter && !ctfilter[iDataIndex]) + return false; + + var ctselect = oSettings.nTable.ctselect; + if (ctselect && !ctselect[iDataIndex]) + return false; + + return true; + } + ); +} + +HTMLWidgets.widget({ + name: "datatables", + type: "output", + renderOnNullValue: true, + initialize: function(el, width, height) { + // in order that the type=number inputs return a number + $.valHooks.number = { + get: function(el) { + var value = parseFloat(el.value); + return isNaN(value) ? "" : value; + } + }; + $(el).html(' '); + return { + data: null, + ctfilterHandle: new crosstalk.FilterHandle(), + ctfilterSubscription: null, + ctselectHandle: new crosstalk.SelectionHandle(), + ctselectSubscription: null + }; + }, + renderValue: function(el, data, instance) { + if (el.offsetWidth === 0 || el.offsetHeight === 0) { + instance.data = data; + return; + } + instance.data = null; + var $el = $(el); + $el.empty(); + + if (data === null) { + $el.append(' '); + // clear previous Shiny inputs (if any) + for (var i in instance.clearInputs) instance.clearInputs[i](); + instance.clearInputs = {}; + return; + } + + var crosstalkOptions = data.crosstalkOptions; + if (!crosstalkOptions) crosstalkOptions = { + 'key': null, 'group': null + }; + if (crosstalkOptions.group) { + maybeInstallCrosstalkPlugins(); + instance.ctfilterHandle.setGroup(crosstalkOptions.group); + instance.ctselectHandle.setGroup(crosstalkOptions.group); + } + + // if we are in the viewer then we always want to fillContainer and + // and autoHideNavigation (unless the user has explicitly set these) + if (window.HTMLWidgets.viewerMode) { + if (!data.hasOwnProperty("fillContainer")) + data.fillContainer = true; + if (!data.hasOwnProperty("autoHideNavigation")) + data.autoHideNavigation = true; + } + + // propagate fillContainer to instance (so we have it in resize) + instance.fillContainer = data.fillContainer; + + var cells = data.data; + + if (cells instanceof Array) cells = transposeArray2D(cells); + + $el.append(data.container); + var $table = $el.find('table'); + if (data.class) $table.addClass(data.class); + if (data.caption) $table.prepend(data.caption); + + if (!data.selection) data.selection = { + mode: 'none', selected: null, target: 'row', selectable: null + }; + if (HTMLWidgets.shinyMode && data.selection.mode !== 'none' && + data.selection.target === 'row+column') { + if ($table.children('tfoot').length === 0) { + $table.append($('')); + $table.find('thead tr').clone().appendTo($table.find('tfoot')); + } + } + + // column filters + var filterRow; + switch (data.filter) { + case 'top': + $table.children('thead').append(data.filterHTML); + filterRow = $table.find('thead tr:last td'); + break; + case 'bottom': + if ($table.children('tfoot').length === 0) { + $table.append($('')); + } + $table.children('tfoot').prepend(data.filterHTML); + filterRow = $table.find('tfoot tr:first td'); + break; + } + + var options = { searchDelay: 1000 }; + if (cells !== null) $.extend(options, { + data: cells + }); + + // options for fillContainer + var bootstrapActive = typeof($.fn.popover) != 'undefined'; + if (instance.fillContainer) { + + // force scrollX/scrollY and turn off autoWidth + options.scrollX = true; + options.scrollY = "100px"; // can be any value, we'll adjust below + + // if we aren't paginating then move around the info/filter controls + // to save space at the bottom and rephrase the info callback + if (data.options.paging === false) { + + // we know how to do this cleanly for bootstrap, not so much + // for other themes/layouts + if (bootstrapActive) { + options.dom = "<'row'<'col-sm-4'i><'col-sm-8'f>>" + + "<'row'<'col-sm-12'tr>>"; + } + + options.fnInfoCallback = function(oSettings, iStart, iEnd, + iMax, iTotal, sPre) { + return Number(iTotal).toLocaleString() + " records"; + }; + } + } + + // auto hide navigation if requested + // Note, this only works on client-side processing mode as on server-side, + // cells (data.data) is null; In addition, we require the pageLength option + // being provided explicitly to enable this. Despite we may be able to deduce + // the default value of pageLength, it may complicate things so we'd rather + // put this responsiblity to users and warn them on the R side. + if (data.autoHideNavigation === true && data.options.paging !== false) { + // strip all nav if length >= cells + if ((cells instanceof Array) && data.options.pageLength >= cells.length) + options.dom = bootstrapActive ? "<'row'<'col-sm-12'tr>>" : "t"; + // alternatively lean things out for flexdashboard mobile portrait + else if (bootstrapActive && window.FlexDashboard && window.FlexDashboard.isMobilePhone()) + options.dom = "<'row'<'col-sm-12'f>>" + + "<'row'<'col-sm-12'tr>>" + + "<'row'<'col-sm-12'p>>"; + } + + $.extend(true, options, data.options || {}); + + var searchCols = options.searchCols; + if (searchCols) { + searchCols = searchCols.map(function(x) { + return x === null ? '' : x.search; + }); + // FIXME: this means I don't respect the escapeRegex setting + delete options.searchCols; + } + + // server-side processing? + var server = options.serverSide === true; + + // use the dataSrc function to pre-process JSON data returned from R + var DT_rows_all = [], DT_rows_current = []; + if (server && HTMLWidgets.shinyMode && typeof options.ajax === 'object' && + /^session\/[\da-z]+\/dataobj/.test(options.ajax.url) && !options.ajax.dataSrc) { + options.ajax.dataSrc = function(json) { + DT_rows_all = $.makeArray(json.DT_rows_all); + DT_rows_current = $.makeArray(json.DT_rows_current); + var data = json.data; + if (!colReorderEnabled()) return data; + var table = $table.DataTable(), order = table.colReorder.order(), flag = true, i, j, row; + for (i = 0; i < order.length; ++i) if (order[i] !== i) flag = false; + if (flag) return data; + for (i = 0; i < data.length; ++i) { + row = data[i].slice(); + for (j = 0; j < order.length; ++j) data[i][j] = row[order[j]]; + } + return data; + }; + } + + var thiz = this; + if (instance.fillContainer) $table.on('init.dt', function(e) { + thiz.fillAvailableHeight(el, $(el).innerHeight()); + }); + // If the page contains serveral datatables and one of which enables colReorder, + // the table.colReorder.order() function will exist but throws error when called. + // So it seems like the only way to know if colReorder is enabled or not is to + // check the options. + var colReorderEnabled = function() { return "colReorder" in options; }; + var table = $table.DataTable(options); + $el.data('datatable', table); + + if ('rowGroup' in options) { + // Maintain RowGroup dataSrc when columns are reordered (#1109) + table.on('column-reorder', function(e, settings, details) { + var oldDataSrc = table.rowGroup().dataSrc(); + var newDataSrc = details.mapping[oldDataSrc]; + table.rowGroup().dataSrc(newDataSrc); + }); + } + + // Unregister previous Crosstalk event subscriptions, if they exist + if (instance.ctfilterSubscription) { + instance.ctfilterHandle.off("change", instance.ctfilterSubscription); + instance.ctfilterSubscription = null; + } + if (instance.ctselectSubscription) { + instance.ctselectHandle.off("change", instance.ctselectSubscription); + instance.ctselectSubscription = null; + } + + if (!crosstalkOptions.group) { + $table[0].ctfilter = null; + $table[0].ctselect = null; + } else { + var key = crosstalkOptions.key; + function keysToMatches(keys) { + if (!keys) { + return null; + } else { + var selectedKeys = {}; + for (var i = 0; i < keys.length; i++) { + selectedKeys[keys[i]] = true; + } + var matches = {}; + for (var j = 0; j < key.length; j++) { + if (selectedKeys[key[j]]) + matches[j] = true; + } + return matches; + } + } + + function applyCrosstalkFilter(e) { + $table[0].ctfilter = keysToMatches(e.value); + table.draw(); + } + instance.ctfilterSubscription = instance.ctfilterHandle.on("change", applyCrosstalkFilter); + applyCrosstalkFilter({value: instance.ctfilterHandle.filteredKeys}); + + function applyCrosstalkSelection(e) { + if (e.sender !== instance.ctselectHandle) { + table + .rows('.' + selClass, {search: 'applied'}) + .nodes() + .to$() + .removeClass(selClass); + if (selectedRows) + changeInput('rows_selected', selectedRows(), void 0, true); + } + + if (e.sender !== instance.ctselectHandle && e.value && e.value.length) { + var matches = keysToMatches(e.value); + + // persistent selection with plotly (& leaflet) + var ctOpts = crosstalk.var("plotlyCrosstalkOpts").get() || {}; + if (ctOpts.persistent === true) { + var matches = $.extend(matches, $table[0].ctselect); + } + + $table[0].ctselect = matches; + table.draw(); + } else { + if ($table[0].ctselect) { + $table[0].ctselect = null; + table.draw(); + } + } + } + instance.ctselectSubscription = instance.ctselectHandle.on("change", applyCrosstalkSelection); + // TODO: This next line doesn't seem to work when renderDataTable is used + applyCrosstalkSelection({value: instance.ctselectHandle.value}); + } + + var inArray = function(val, array) { + return $.inArray(val, $.makeArray(array)) > -1; + }; + + // search the i-th column + var searchColumn = function(i, value) { + var regex = false, ci = true; + if (options.search) { + regex = options.search.regex, + ci = options.search.caseInsensitive !== false; + } + // need to transpose the column index when colReorder is enabled + if (table.colReorder) i = table.colReorder.transpose(i); + return table.column(i).search(value, regex, !regex, ci); + }; + + if (data.filter !== 'none') { + if (!data.hasOwnProperty('filterSettings')) data.filterSettings = {}; + + filterRow.each(function(i, td) { + + var $td = $(td), type = $td.data('type'), filter; + var $input = $td.children('div').first().children('input'); + var disabled = $input.prop('disabled'); + var searchable = table.settings()[0].aoColumns[i].bSearchable; + $input.prop('disabled', !searchable || disabled); + $input.data('searchable', searchable); // for updating later + $input.on('input blur', function() { + $input.next('span').toggle(Boolean($input.val())); + }); + // Bootstrap sets pointer-events to none and we won't be able to click + // the clear button + $input.next('span').css('pointer-events', 'auto').hide().click(function() { + $(this).hide().prev('input').val('').trigger('input').focus(); + }); + var searchCol; // search string for this column + if (searchCols && searchCols[i]) { + searchCol = searchCols[i]; + $input.val(searchCol).trigger('input'); + } + var $x = $td.children('div').last(); + + // remove the overflow: hidden attribute of the scrollHead + // (otherwise the scrolling table body obscures the filters) + // The workaround and the discussion from + // https://github.com/rstudio/DT/issues/554#issuecomment-518007347 + // Otherwise the filter selection will not be anchored to the values + // when the columns number is many and scrollX is enabled. + var scrollHead = $(el).find('.dataTables_scrollHead,.dataTables_scrollFoot'); + var cssOverflowHead = scrollHead.css('overflow'); + var scrollBody = $(el).find('.dataTables_scrollBody'); + var cssOverflowBody = scrollBody.css('overflow'); + var scrollTable = $(el).find('.dataTables_scroll'); + var cssOverflowTable = scrollTable.css('overflow'); + if (cssOverflowHead === 'hidden') { + $x.on('show hide', function(e) { + if (e.type === 'show') { + scrollHead.css('overflow', 'visible'); + scrollBody.css('overflow', 'visible'); + scrollTable.css('overflow-x', 'scroll'); + } else { + scrollHead.css('overflow', cssOverflowHead); + scrollBody.css('overflow', cssOverflowBody); + scrollTable.css('overflow-x', cssOverflowTable); + } + }); + $x.css('z-index', 25); + } + + if (inArray(type, ['factor', 'logical'])) { + $input.on({ + click: function() { + $input.parent().hide(); $x.show().trigger('show'); filter[0].selectize.focus(); + }, + input: function() { + var v1 = JSON.stringify(filter[0].selectize.getValue()), v2 = $input.val(); + if (v1 === '[]') v1 = ''; + if (v1 !== v2) filter[0].selectize.setValue(v2 === '' ? [] : JSON.parse(v2)); + } + }); + var $input2 = $x.children('select'); + filter = $input2.selectize($.extend({ + options: $input2.data('options').map(function(v, i) { + return ({text: v, value: v}); + }), + plugins: ['remove_button'], + hideSelected: true, + onChange: function(value) { + if (value === null) value = []; // compatibility with jQuery 3.0 + $input.val(value.length ? JSON.stringify(value) : ''); + if (value.length) $input.trigger('input'); + $input.attr('title', $input.val()); + if (server) { + searchColumn(i, value.length ? JSON.stringify(value) : '').draw(); + return; + } + // turn off filter if nothing selected + $td.data('filter', value.length > 0); + table.draw(); // redraw table, and filters will be applied + } + }, data.filterSettings.select)); + filter[0].selectize.on('blur', function() { + $x.hide().trigger('hide'); $input.parent().show(); $input.trigger('blur'); + }); + filter.next('div').css('margin-bottom', 'auto'); + } else if (type === 'character') { + var fun = function() { + searchColumn(i, $input.val()).draw(); + }; + // throttle searching for server-side processing + var throttledFun = $.fn.dataTable.util.throttle(fun, options.searchDelay); + $input.on('input', function(e, immediate) { + // always bypass throttling when immediate = true (via the updateSearch method) + (immediate || !server) ? fun() : throttledFun(); + }); + } else if (inArray(type, ['number', 'integer', 'date', 'time'])) { + var $x0 = $x; + $x = $x0.children('div').first(); + $x0.css({ + 'background-color': '#fff', + 'border': '1px #ddd solid', + 'border-radius': '4px', + 'padding': data.vertical ? '35px 20px': '20px 20px 10px 20px' + }); + var $spans = $x0.children('span').css({ + 'margin-top': data.vertical ? '0' : '10px', + 'white-space': 'nowrap' + }); + var $span1 = $spans.first(), $span2 = $spans.last(); + var r1 = +$x.data('min'), r2 = +$x.data('max'); + // when the numbers are too small or have many decimal places, the + // slider may have numeric precision problems (#150) + var scale = Math.pow(10, Math.max(0, +$x.data('scale') || 0)); + r1 = Math.round(r1 * scale); r2 = Math.round(r2 * scale); + var scaleBack = function(x, scale) { + if (scale === 1) return x; + var d = Math.round(Math.log(scale) / Math.log(10)); + // to avoid problems like 3.423/100 -> 0.034230000000000003 + return (x / scale).toFixed(d); + }; + var slider_min = function() { + return filter.noUiSlider('options').range.min; + }; + var slider_max = function() { + return filter.noUiSlider('options').range.max; + }; + $input.on({ + focus: function() { + $x0.show().trigger('show'); + // first, make sure the slider div leaves at least 20px between + // the two (slider value) span's + $x0.width(Math.max(160, $span1.outerWidth() + $span2.outerWidth() + 20)); + // then, if the input is really wide or slider is vertical, + // make the slider the same width as the input + if ($x0.outerWidth() < $input.outerWidth() || data.vertical) { + $x0.outerWidth($input.outerWidth()); + } + // make sure the slider div does not reach beyond the right margin + if ($(window).width() < $x0.offset().left + $x0.width()) { + $x0.offset({ + 'left': $input.offset().left + $input.outerWidth() - $x0.outerWidth() + }); + } + }, + blur: function() { + $x0.hide().trigger('hide'); + }, + input: function() { + if ($input.val() === '') filter.val([slider_min(), slider_max()]); + }, + change: function() { + var v = $input.val().replace(/\s/g, ''); + if (v === '') return; + v = v.split('...'); + if (v.length !== 2) { + $input.parent().addClass('has-error'); + return; + } + if (v[0] === '') v[0] = slider_min(); + if (v[1] === '') v[1] = slider_max(); + $input.parent().removeClass('has-error'); + // treat date as UTC time at midnight + var strTime = function(x) { + var s = type === 'date' ? 'T00:00:00Z' : ''; + var t = new Date(x + s).getTime(); + // add 10 minutes to date since it does not hurt the date, and + // it helps avoid the tricky floating point arithmetic problems, + // e.g. sometimes the date may be a few milliseconds earlier + // than the midnight due to precision problems in noUiSlider + return type === 'date' ? t + 3600000 : t; + }; + if (inArray(type, ['date', 'time'])) { + v[0] = strTime(v[0]); + v[1] = strTime(v[1]); + } + if (v[0] != slider_min()) v[0] *= scale; + if (v[1] != slider_max()) v[1] *= scale; + filter.val(v); + } + }); + var formatDate = function(d) { + d = scaleBack(d, scale); + if (type === 'number') return d; + if (type === 'integer') return parseInt(d); + var x = new Date(+d); + if (type === 'date') { + var pad0 = function(x) { + return ('0' + x).substr(-2, 2); + }; + return x.getUTCFullYear() + '-' + pad0(1 + x.getUTCMonth()) + + '-' + pad0(x.getUTCDate()); + } else { + return x.toISOString(); + } + }; + var opts = type === 'date' ? { step: 60 * 60 * 1000 } : + type === 'integer' ? { step: 1 } : {}; + + opts.orientation = data.vertical ? 'vertical': 'horizontal'; + opts.direction = data.vertical ? 'rtl': 'ltr'; + + filter = $x.noUiSlider($.extend({ + start: [r1, r2], + range: {min: r1, max: r2}, + connect: true + }, opts, data.filterSettings.slider)); + if (scale > 1) (function() { + var t1 = r1, t2 = r2; + var val = filter.val(); + while (val[0] > r1 || val[1] < r2) { + if (val[0] > r1) { + t1 -= val[0] - r1; + } + if (val[1] < r2) { + t2 += r2 - val[1]; + } + filter = $x.noUiSlider($.extend({ + start: [t1, t2], + range: {min: t1, max: t2}, + connect: true + }, opts, data.filterSettings.slider), true); + val = filter.val(); + } + r1 = t1; r2 = t2; + })(); + // format with active column renderer, if defined + var colDef = data.options.columnDefs.find(function(def) { + return (def.targets === i || inArray(i, def.targets)) && 'render' in def; + }); + var updateSliderText = function(v1, v2) { + // we only know how to use function renderers + if (colDef && typeof colDef.render === 'function') { + var restore = function(v) { + v = scaleBack(v, scale); + return inArray(type, ['date', 'time']) ? new Date(+v) : v; + } + $span1.text(colDef.render(restore(v1), 'display')); + $span2.text(colDef.render(restore(v2), 'display')); + } else { + $span1.text(formatDate(v1)); + $span2.text(formatDate(v2)); + } + }; + updateSliderText(r1, r2); + var updateSlider = function(e) { + var val = filter.val(); + // turn off filter if in full range + $td.data('filter', val[0] > slider_min() || val[1] < slider_max()); + var v1 = formatDate(val[0]), v2 = formatDate(val[1]), ival; + if ($td.data('filter')) { + ival = v1 + ' ... ' + v2; + $input.attr('title', ival).val(ival).trigger('input'); + } else { + $input.attr('title', '').val(''); + } + updateSliderText(val[0], val[1]); + if (e.type === 'slide') return; // no searching when sliding only + if (server) { + searchColumn(i, $td.data('filter') ? ival : '').draw(); + return; + } + table.draw(); + }; + filter.on({ + set: updateSlider, + slide: updateSlider + }); + } + + // server-side processing will be handled by R (or whatever server + // language you use); the following code is only needed for client-side + // processing + if (server) { + // if a search string has been pre-set, search now + if (searchCol) $input.trigger('input').trigger('change'); + return; + } + + var customFilter = function(settings, data, dataIndex) { + // there is no way to attach a search function to a specific table, + // and we need to make sure a global search function is not applied to + // all tables (i.e. a range filter in a previous table should not be + // applied to the current table); we use the settings object to + // determine if we want to perform searching on the current table, + // since settings.sTableId will be different to different tables + if (table.settings()[0] !== settings) return true; + // no filter on this column or no need to filter this column + if (typeof filter === 'undefined' || !$td.data('filter')) return true; + + var r = filter.val(), v, r0, r1; + var i_data = function(i) { + if (!colReorderEnabled()) return i; + var order = table.colReorder.order(), k; + for (k = 0; k < order.length; ++k) if (order[k] === i) return k; + return i; // in theory it will never be here... + } + v = data[i_data(i)]; + if (type === 'number' || type === 'integer') { + v = parseFloat(v); + // how to handle NaN? currently exclude these rows + if (isNaN(v)) return(false); + r0 = parseFloat(scaleBack(r[0], scale)) + r1 = parseFloat(scaleBack(r[1], scale)); + if (v >= r0 && v <= r1) return true; + } else if (type === 'date' || type === 'time') { + v = new Date(v); + r0 = new Date(r[0] / scale); r1 = new Date(r[1] / scale); + if (v >= r0 && v <= r1) return true; + } else if (type === 'factor') { + if (r.length === 0 || inArray(v, r)) return true; + } else if (type === 'logical') { + if (r.length === 0) return true; + if (inArray(v === '' ? 'na' : v, r)) return true; + } + return false; + }; + + $.fn.dataTable.ext.search.push(customFilter); + + // search for the preset search strings if it is non-empty + if (searchCol) $input.trigger('input').trigger('change'); + + }); + + } + + // highlight search keywords + var highlight = function() { + var body = $(table.table().body()); + // removing the old highlighting first + body.unhighlight(); + + // don't highlight the "not found" row, so we get the rows using the api + if (table.rows({ filter: 'applied' }).data().length === 0) return; + // highlight global search keywords + body.highlight($.trim(table.search()).split(/\s+/)); + // then highlight keywords from individual column filters + if (filterRow) filterRow.each(function(i, td) { + var $td = $(td), type = $td.data('type'); + if (type !== 'character') return; + var $input = $td.children('div').first().children('input'); + var column = table.column(i).nodes().to$(), + val = $.trim($input.val()); + if (type !== 'character' || val === '') return; + column.highlight(val.split(/\s+/)); + }); + }; + + if (options.searchHighlight) { + table + .on('draw.dt.dth column-visibility.dt.dth column-reorder.dt.dth', highlight) + .on('destroy', function() { + // remove event handler + table.off('draw.dt.dth column-visibility.dt.dth column-reorder.dt.dth'); + }); + + // Set the option for escaping regex characters in our search string. This will be used + // for all future matching. + jQuery.fn.highlight.options.escapeRegex = (!options.search || !options.search.regex); + + // initial highlight for state saved conditions and initial states + highlight(); + } + + // run the callback function on the table instance + if (typeof data.callback === 'function') data.callback(table); + + // double click to edit the cell, row, column, or all cells + if (data.editable) table.on('dblclick.dt', 'tbody td', function(e) { + // only bring up the editor when the cell itself is dbclicked, and ignore + // other dbclick events bubbled up (e.g. from the ) + if (e.target !== this) return; + var target = [], immediate = false; + switch (data.editable.target) { + case 'cell': + target = [this]; + immediate = true; // edit will take effect immediately + break; + case 'row': + target = table.cells(table.cell(this).index().row, '*').nodes(); + break; + case 'column': + target = table.cells('*', table.cell(this).index().column).nodes(); + break; + case 'all': + target = table.cells().nodes(); + break; + default: + throw 'The editable parameter must be "cell", "row", "column", or "all"'; + } + var disableCols = data.editable.disable ? data.editable.disable.columns : null; + var numericCols = data.editable.numeric; + var areaCols = data.editable.area; + var dateCols = data.editable.date; + for (var i = 0; i < target.length; i++) { + (function(cell, current) { + var $cell = $(cell), html = $cell.html(); + var _cell = table.cell(cell), value = _cell.data(), index = _cell.index().column; + var $input; + if (inArray(index, numericCols)) { + $input = $(''); + } else if (inArray(index, areaCols)) { + $input = $(''); + } else if (inArray(index, dateCols)) { + $input = $(''); + } else { + $input = $(''); + } + if (!immediate) { + $cell.data('input', $input).data('html', html); + $input.attr('title', 'Hit Ctrl+Enter to finish editing, or Esc to cancel'); + } + $input.val(value); + if (inArray(index, disableCols)) { + $input.attr('readonly', '').css('filter', 'invert(25%)'); + } + $cell.empty().append($input); + if (cell === current) $input.focus(); + $input.css('width', '100%'); + + if (immediate) $input.on('blur', function(e) { + var valueNew = $input.val(); + if (valueNew !== value) { + _cell.data(valueNew); + if (HTMLWidgets.shinyMode) { + changeInput('cell_edit', [cellInfo(cell)], 'DT.cellInfo', null, {priority: 'event'}); + } + // for server-side processing, users have to call replaceData() to update the table + if (!server) table.draw(false); + } else { + $cell.html(html); + } + }).on('keyup', function(e) { + // hit Escape to cancel editing + if (e.keyCode === 27) $input.trigger('blur'); + }); + + // bulk edit (row, column, or all) + if (!immediate) $input.on('keyup', function(e) { + var removeInput = function($cell, restore) { + $cell.data('input').remove(); + if (restore) $cell.html($cell.data('html')); + } + if (e.keyCode === 27) { + for (var i = 0; i < target.length; i++) { + removeInput($(target[i]), true); + } + } else if (e.keyCode === 13 && e.ctrlKey) { + // Ctrl + Enter + var cell, $cell, _cell, cellData = []; + for (var i = 0; i < target.length; i++) { + cell = target[i]; $cell = $(cell); _cell = table.cell(cell); + _cell.data($cell.data('input').val()); + HTMLWidgets.shinyMode && cellData.push(cellInfo(cell)); + removeInput($cell, false); + } + if (HTMLWidgets.shinyMode) { + changeInput('cell_edit', cellData, 'DT.cellInfo', null, {priority: "event"}); + } + if (!server) table.draw(false); + } + }); + })(target[i], this); + } + }); + + // interaction with shiny + if (!HTMLWidgets.shinyMode && !crosstalkOptions.group) return; + + var methods = {}; + var shinyData = {}; + + methods.updateCaption = function(caption) { + if (!caption) return; + $table.children('caption').replaceWith(caption); + } + + // register clear functions to remove input values when the table is removed + instance.clearInputs = {}; + + var changeInput = function(id, value, type, noCrosstalk, opts) { + var event = id; + id = el.id + '_' + id; + if (type) id = id + ':' + type; + // do not update if the new value is the same as old value + if (event !== 'cell_edit' && !/_clicked$/.test(event) && shinyData.hasOwnProperty(id) && shinyData[id] === JSON.stringify(value)) + return; + shinyData[id] = JSON.stringify(value); + if (HTMLWidgets.shinyMode && Shiny.setInputValue) { + Shiny.setInputValue(id, value, opts); + if (!instance.clearInputs[id]) instance.clearInputs[id] = function() { + Shiny.setInputValue(id, null); + } + } + + // HACK + if (event === "rows_selected" && !noCrosstalk) { + if (crosstalkOptions.group) { + var keys = crosstalkOptions.key; + var selectedKeys = null; + if (value) { + selectedKeys = []; + for (var i = 0; i < value.length; i++) { + // The value array's contents use 1-based row numbers, so we must + // convert to 0-based before indexing into the keys array. + selectedKeys.push(keys[value[i] - 1]); + } + } + instance.ctselectHandle.set(selectedKeys); + } + } + }; + + var addOne = function(x) { + return x.map(function(i) { return 1 + i; }); + }; + + var unique = function(x) { + var ux = []; + $.each(x, function(i, el){ + if ($.inArray(el, ux) === -1) ux.push(el); + }); + return ux; + } + + // change the row index of a cell + var tweakCellIndex = function(cell) { + var info = cell.index(); + // some cell may not be valid. e.g, #759 + // when using the RowGroup extension, datatables will + // generate the row label and the cells are not part of + // the data thus contain no row/col info + if (info === undefined) + return {row: null, col: null}; + if (server) { + info.row = DT_rows_current[info.row]; + } else { + info.row += 1; + } + return {row: info.row, col: info.column}; + } + + var cleanSelectedValues = function() { + changeInput('rows_selected', []); + changeInput('columns_selected', []); + changeInput('cells_selected', transposeArray2D([]), 'shiny.matrix'); + } + // #828 we should clean the selection on the server-side when the table reloads + cleanSelectedValues(); + + // a flag to indicates if select extension is initialized or not + var flagSelectExt = table.settings()[0]._select !== undefined; + // the Select extension should only be used in the client mode and + // when the selection.mode is set to none + if (data.selection.mode === 'none' && !server && flagSelectExt) { + var updateRowsSelected = function() { + var rows = table.rows({selected: true}); + var selected = []; + $.each(rows.indexes().toArray(), function(i, v) { + selected.push(v + 1); + }); + changeInput('rows_selected', selected); + } + var updateColsSelected = function() { + var columns = table.columns({selected: true}); + changeInput('columns_selected', columns.indexes().toArray()); + } + var updateCellsSelected = function() { + var cells = table.cells({selected: true}); + var selected = []; + cells.every(function() { + var row = this.index().row; + var col = this.index().column; + selected = selected.concat([[row + 1, col]]); + }); + changeInput('cells_selected', transposeArray2D(selected), 'shiny.matrix'); + } + table.on('select deselect', function(e, dt, type, indexes) { + updateRowsSelected(); + updateColsSelected(); + updateCellsSelected(); + }) + updateRowsSelected(); + updateColsSelected(); + updateCellsSelected(); + } + + var selMode = data.selection.mode, selTarget = data.selection.target; + var selDisable = data.selection.selectable === false; + if (inArray(selMode, ['single', 'multiple'])) { + var selClass = inArray(data.style, ['bootstrap', 'bootstrap4']) ? 'active' : 'selected'; + // selected1: row indices; selected2: column indices + var initSel = function(x) { + if (x === null || typeof x === 'boolean' || selTarget === 'cell') { + return {rows: [], cols: []}; + } else if (selTarget === 'row') { + return {rows: $.makeArray(x), cols: []}; + } else if (selTarget === 'column') { + return {rows: [], cols: $.makeArray(x)}; + } else if (selTarget === 'row+column') { + return {rows: $.makeArray(x.rows), cols: $.makeArray(x.cols)}; + } + } + var selected = data.selection.selected; + var selected1 = initSel(selected).rows, selected2 = initSel(selected).cols; + // selectable should contain either all positive or all non-positive values, not both + // positive values indicate "selectable" while non-positive values means "nonselectable" + // the assertion is performed on R side. (only column indicides could be zero which indicates + // the row name) + var selectable = data.selection.selectable; + var selectable1 = initSel(selectable).rows, selectable2 = initSel(selectable).cols; + + // After users reorder the rows or filter the table, we cannot use the table index + // directly. Instead, we need this function to find out the rows between the two clicks. + // If user filter the table again between the start click and the end click, the behavior + // would be undefined, but it should not be a problem. + var shiftSelRowsIndex = function(start, end) { + var indexes = server ? DT_rows_all : table.rows({ search: 'applied' }).indexes().toArray(); + start = indexes.indexOf(start); end = indexes.indexOf(end); + // if start is larger than end, we need to swap + if (start > end) { + var tmp = end; end = start; start = tmp; + } + return indexes.slice(start, end + 1); + } + + var serverRowIndex = function(clientRowIndex) { + return server ? DT_rows_current[clientRowIndex] : clientRowIndex + 1; + } + + // row, column, or cell selection + var lastClickedRow; + if (inArray(selTarget, ['row', 'row+column'])) { + // Get the current selected rows. It will also + // update the selected1's value based on the current row selection state + // Note we can't put this function inside selectRows() directly, + // the reason is method.selectRows() will override selected1's value but this + // function will add rows to selected1 (keep the existing selection), which is + // inconsistent with column and cell selection. + var selectedRows = function() { + var rows = table.rows('.' + selClass); + var idx = rows.indexes().toArray(); + if (!server) { + selected1 = addOne(idx); + return selected1; + } + idx = idx.map(function(i) { + return DT_rows_current[i]; + }); + selected1 = selMode === 'multiple' ? unique(selected1.concat(idx)) : idx; + return selected1; + } + // Change selected1's value based on selectable1, then refresh the row state + var onlyKeepSelectableRows = function() { + if (selDisable) { // users can't select; useful when only want backend select + selected1 = []; + return; + } + if (selectable1.length === 0) return; + var nonselectable = selectable1[0] <= 0; + if (nonselectable) { + // should make selectable1 positive + selected1 = $(selected1).not(selectable1.map(function(i) { return -i; })).get(); + } else { + selected1 = $(selected1).filter(selectable1).get(); + } + } + // Change selected1's value based on selectable1, then + // refresh the row selection state according to values in selected1 + var selectRows = function(ignoreSelectable) { + if (!ignoreSelectable) onlyKeepSelectableRows(); + table.$('tr.' + selClass).removeClass(selClass); + if (selected1.length === 0) return; + if (server) { + table.rows({page: 'current'}).every(function() { + if (inArray(DT_rows_current[this.index()], selected1)) { + $(this.node()).addClass(selClass); + } + }); + } else { + var selected0 = selected1.map(function(i) { return i - 1; }); + $(table.rows(selected0).nodes()).addClass(selClass); + } + } + table.on('mousedown.dt', 'tbody tr', function(e) { + var $this = $(this), thisRow = table.row(this); + if (selMode === 'multiple') { + if (e.shiftKey && lastClickedRow !== undefined) { + // select or de-select depends on the last clicked row's status + var flagSel = !$this.hasClass(selClass); + var crtClickedRow = serverRowIndex(thisRow.index()); + if (server) { + var rowsIndex = shiftSelRowsIndex(lastClickedRow, crtClickedRow); + // update current page's selClass + rowsIndex.map(function(i) { + var rowIndex = DT_rows_current.indexOf(i); + if (rowIndex >= 0) { + var row = table.row(rowIndex).nodes().to$(); + var flagRowSel = !row.hasClass(selClass); + if (flagSel === flagRowSel) row.toggleClass(selClass); + } + }); + // update selected1 + if (flagSel) { + selected1 = unique(selected1.concat(rowsIndex)); + } else { + selected1 = selected1.filter(function(index) { + return !inArray(index, rowsIndex); + }); + } + } else { + // js starts from 0 + shiftSelRowsIndex(lastClickedRow - 1, crtClickedRow - 1).map(function(value) { + var row = table.row(value).nodes().to$(); + var flagRowSel = !row.hasClass(selClass); + if (flagSel === flagRowSel) row.toggleClass(selClass); + }); + } + e.preventDefault(); + } else { + $this.toggleClass(selClass); + } + } else { + if ($this.hasClass(selClass)) { + $this.removeClass(selClass); + } else { + table.$('tr.' + selClass).removeClass(selClass); + $this.addClass(selClass); + } + } + if (server && !$this.hasClass(selClass)) { + var id = DT_rows_current[thisRow.index()]; + // remove id from selected1 since its class .selected has been removed + if (inArray(id, selected1)) selected1.splice($.inArray(id, selected1), 1); + } + selectedRows(); // update selected1's value based on selClass + selectRows(false); // only keep the selectable rows + changeInput('rows_selected', selected1); + changeInput('row_last_clicked', serverRowIndex(thisRow.index()), null, null, {priority: 'event'}); + lastClickedRow = serverRowIndex(thisRow.index()); + }); + selectRows(false); // in case users have specified pre-selected rows + // restore selected rows after the table is redrawn (e.g. sort/search/page); + // client-side tables will preserve the selections automatically; for + // server-side tables, we have to *real* row indices are in `selected1` + changeInput('rows_selected', selected1); + if (server) table.on('draw.dt', function(e) { selectRows(false); }); + methods.selectRows = function(selected, ignoreSelectable) { + selected1 = $.makeArray(selected); + selectRows(ignoreSelectable); + changeInput('rows_selected', selected1); + } + } + + if (inArray(selTarget, ['column', 'row+column'])) { + if (selTarget === 'row+column') { + $(table.columns().footer()).css('cursor', 'pointer'); + } + // update selected2's value based on selectable2 + var onlyKeepSelectableCols = function() { + if (selDisable) { // users can't select; useful when only want backend select + selected2 = []; + return; + } + if (selectable2.length === 0) return; + var nonselectable = selectable2[0] <= 0; + if (nonselectable) { + // need to make selectable2 positive + selected2 = $(selected2).not(selectable2.map(function(i) { return -i; })).get(); + } else { + selected2 = $(selected2).filter(selectable2).get(); + } + } + // update selected2 and then + // refresh the col selection state according to values in selected2 + var selectCols = function(ignoreSelectable) { + if (!ignoreSelectable) onlyKeepSelectableCols(); + // if selected2 is not a valide index (e.g., larger than the column number) + // table.columns(selected2) will fail and result in a blank table + // this is different from the table.rows(), where the out-of-range indexes + // doesn't affect at all + selected2 = $(selected2).filter(table.columns().indexes()).get(); + table.columns().nodes().flatten().to$().removeClass(selClass); + if (selected2.length > 0) + table.columns(selected2).nodes().flatten().to$().addClass(selClass); + } + var callback = function() { + var colIdx = selTarget === 'column' ? table.cell(this).index().column : + $.inArray(this, table.columns().footer()), + thisCol = $(table.column(colIdx).nodes()); + if (colIdx === -1) return; + if (thisCol.hasClass(selClass)) { + thisCol.removeClass(selClass); + selected2.splice($.inArray(colIdx, selected2), 1); + } else { + if (selMode === 'single') $(table.cells().nodes()).removeClass(selClass); + thisCol.addClass(selClass); + selected2 = selMode === 'single' ? [colIdx] : unique(selected2.concat([colIdx])); + } + selectCols(false); // update selected2 based on selectable + changeInput('columns_selected', selected2); + } + if (selTarget === 'column') { + $(table.table().body()).on('click.dt', 'td', callback); + } else { + $(table.table().footer()).on('click.dt', 'tr th', callback); + } + selectCols(false); // in case users have specified pre-selected columns + changeInput('columns_selected', selected2); + if (server) table.on('draw.dt', function(e) { selectCols(false); }); + methods.selectColumns = function(selected, ignoreSelectable) { + selected2 = $.makeArray(selected); + selectCols(ignoreSelectable); + changeInput('columns_selected', selected2); + } + } + + if (selTarget === 'cell') { + var selected3 = [], selectable3 = []; + if (selected !== null) selected3 = selected; + if (selectable !== null && typeof selectable !== 'boolean') selectable3 = selectable; + var findIndex = function(ij, sel) { + for (var i = 0; i < sel.length; i++) { + if (ij[0] === sel[i][0] && ij[1] === sel[i][1]) return i; + } + return -1; + } + // Change selected3's value based on selectable3, then refresh the cell state + var onlyKeepSelectableCells = function() { + if (selDisable) { // users can't select; useful when only want backend select + selected3 = []; + return; + } + if (selectable3.length === 0) return; + var nonselectable = selectable3[0][0] <= 0; + var out = []; + if (nonselectable) { + selected3.map(function(ij) { + // should make selectable3 positive + if (findIndex([-ij[0], -ij[1]], selectable3) === -1) { out.push(ij); } + }); + } else { + selected3.map(function(ij) { + if (findIndex(ij, selectable3) > -1) { out.push(ij); } + }); + } + selected3 = out; + } + // Change selected3's value based on selectable3, then + // refresh the cell selection state according to values in selected3 + var selectCells = function(ignoreSelectable) { + if (!ignoreSelectable) onlyKeepSelectableCells(); + table.$('td.' + selClass).removeClass(selClass); + if (selected3.length === 0) return; + if (server) { + table.cells({page: 'current'}).every(function() { + var info = tweakCellIndex(this); + if (findIndex([info.row, info.col], selected3) > -1) + $(this.node()).addClass(selClass); + }); + } else { + selected3.map(function(ij) { + $(table.cell(ij[0] - 1, ij[1]).node()).addClass(selClass); + }); + } + }; + table.on('click.dt', 'tbody td', function() { + var $this = $(this), info = tweakCellIndex(table.cell(this)); + if ($this.hasClass(selClass)) { + $this.removeClass(selClass); + selected3.splice(findIndex([info.row, info.col], selected3), 1); + } else { + if (selMode === 'single') $(table.cells().nodes()).removeClass(selClass); + $this.addClass(selClass); + selected3 = selMode === 'single' ? [[info.row, info.col]] : + unique(selected3.concat([[info.row, info.col]])); + } + selectCells(false); // must call this to update selected3 based on selectable3 + changeInput('cells_selected', transposeArray2D(selected3), 'shiny.matrix'); + }); + selectCells(false); // in case users have specified pre-selected columns + changeInput('cells_selected', transposeArray2D(selected3), 'shiny.matrix'); + + if (server) table.on('draw.dt', function(e) { selectCells(false); }); + methods.selectCells = function(selected, ignoreSelectable) { + selected3 = selected ? selected : []; + selectCells(ignoreSelectable); + changeInput('cells_selected', transposeArray2D(selected3), 'shiny.matrix'); + } + } + } + + // expose some table info to Shiny + var updateTableInfo = function(e, settings) { + // TODO: is anyone interested in the page info? + // changeInput('page_info', table.page.info()); + var updateRowInfo = function(id, modifier) { + var idx; + if (server) { + idx = modifier.page === 'current' ? DT_rows_current : DT_rows_all; + } else { + var rows = table.rows($.extend({ + search: 'applied', + page: 'all' + }, modifier)); + idx = addOne(rows.indexes().toArray()); + } + changeInput('rows' + '_' + id, idx); + }; + updateRowInfo('current', {page: 'current'}); + updateRowInfo('all', {}); + } + table.on('draw.dt', updateTableInfo); + updateTableInfo(); + + // state info + table.on('draw.dt column-visibility.dt', function() { + changeInput('state', table.state()); + }); + changeInput('state', table.state()); + + // search info + var updateSearchInfo = function() { + changeInput('search', table.search()); + if (filterRow) changeInput('search_columns', filterRow.toArray().map(function(td) { + return $(td).find('input').first().val(); + })); + } + table.on('draw.dt', updateSearchInfo); + updateSearchInfo(); + + var cellInfo = function(thiz) { + var info = tweakCellIndex(table.cell(thiz)); + info.value = table.cell(thiz).data(); + return info; + } + // the current cell clicked on + table.on('click.dt', 'tbody td', function() { + changeInput('cell_clicked', cellInfo(this), null, null, {priority: 'event'}); + }) + changeInput('cell_clicked', {}); + + // do not trigger table selection when clicking on links unless they have classes + table.on('mousedown.dt', 'tbody td a', function(e) { + if (this.className === '') e.stopPropagation(); + }); + + methods.addRow = function(data, rowname, resetPaging) { + var n = table.columns().indexes().length, d = n - data.length; + if (d === 1) { + data = rowname.concat(data) + } else if (d !== 0) { + console.log(data); + console.log(table.columns().indexes()); + throw 'New data must be of the same length as current data (' + n + ')'; + }; + table.row.add(data).draw(resetPaging); + } + + methods.updateSearch = function(keywords) { + if (keywords.global !== null) + $(table.table().container()).find('input[type=search]').first() + .val(keywords.global).trigger('input'); + var columns = keywords.columns; + if (!filterRow || columns === null) return; + filterRow.toArray().map(function(td, i) { + var v = typeof columns === 'string' ? columns : columns[i]; + if (typeof v === 'undefined') { + console.log('The search keyword for column ' + i + ' is undefined') + return; + } + // Update column search string and values on linked filter widgets. + // 'input' for factor and char filters, 'change' for numeric filters. + $(td).find('input').first().val(v).trigger('input', [true]).trigger('change'); + }); + table.draw(); + } + + methods.hideCols = function(hide, reset) { + if (reset) table.columns().visible(true, false); + table.columns(hide).visible(false); + } + + methods.showCols = function(show, reset) { + if (reset) table.columns().visible(false, false); + table.columns(show).visible(true); + } + + methods.colReorder = function(order, origOrder) { + table.colReorder.order(order, origOrder); + } + + methods.selectPage = function(page) { + if (table.page.info().pages < page || page < 1) { + throw 'Selected page is out of range'; + }; + table.page(page - 1).draw(false); + } + + methods.reloadData = function(resetPaging, clearSelection) { + // empty selections first if necessary + if (methods.selectRows && inArray('row', clearSelection)) methods.selectRows([]); + if (methods.selectColumns && inArray('column', clearSelection)) methods.selectColumns([]); + if (methods.selectCells && inArray('cell', clearSelection)) methods.selectCells([]); + table.ajax.reload(null, resetPaging); + } + + // update table filters (set new limits of sliders) + methods.updateFilters = function(newProps) { + // loop through each filter in the filter row + filterRow.each(function(i, td) { + var k = i; + if (filterRow.length > newProps.length) { + if (i === 0) return; // first column is row names + k = i - 1; + } + // Update the filters to reflect the updated data. + // Allow "falsy" (e.g. NULL) to signify a no-op. + if (newProps[k]) { + setFilterProps(td, newProps[k]); + } + }); + }; + + table.shinyMethods = methods; + }, + resize: function(el, width, height, instance) { + if (instance.data) this.renderValue(el, instance.data, instance); + + // dynamically adjust height if fillContainer = TRUE + if (instance.fillContainer) + this.fillAvailableHeight(el, height); + + this.adjustWidth(el); + }, + + // dynamically set the scroll body to fill available height + // (used with fillContainer = TRUE) + fillAvailableHeight: function(el, availableHeight) { + + // see how much of the table is occupied by header/footer elements + // and use that to compute a target scroll body height + var dtWrapper = $(el).find('div.dataTables_wrapper'); + var dtScrollBody = $(el).find($('div.dataTables_scrollBody')); + var framingHeight = dtWrapper.innerHeight() - dtScrollBody.innerHeight(); + var scrollBodyHeight = availableHeight - framingHeight; + + // we need to set `max-height` to none as datatables library now sets this + // to a fixed height, disabling the ability to resize to fill the window, + // as it will be set to a fixed 100px under such circumstances, e.g., RStudio IDE, + // or FlexDashboard + // see https://github.com/rstudio/DT/issues/951#issuecomment-1026464509 + dtScrollBody.css('max-height', 'none'); + // set the height + dtScrollBody.height(scrollBodyHeight + 'px'); + }, + + // adjust the width of columns; remove the hard-coded widths on table and the + // scroll header when scrollX/Y are enabled + adjustWidth: function(el) { + var $el = $(el), table = $el.data('datatable'); + if (table) table.columns.adjust(); + $el.find('.dataTables_scrollHeadInner').css('width', '') + .children('table').css('margin-left', ''); + } +}); + + if (!HTMLWidgets.shinyMode) return; + + Shiny.addCustomMessageHandler('datatable-calls', function(data) { + var id = data.id; + var el = document.getElementById(id); + var table = el ? $(el).data('datatable') : null; + if (!table) { + console.log("Couldn't find table with id " + id); + return; + } + + var methods = table.shinyMethods, call = data.call; + if (methods[call.method]) { + methods[call.method].apply(table, call.args); + } else { + console.log("Unknown method " + call.method); + } + }); + +})(); diff --git a/public/2024/07/database-connection/index_files/datatables-css/datatables-crosstalk.css b/public/2024/07/database-connection/index_files/datatables-css/datatables-crosstalk.css new file mode 100644 index 0000000..bd1159c --- /dev/null +++ b/public/2024/07/database-connection/index_files/datatables-css/datatables-crosstalk.css @@ -0,0 +1,32 @@ +.dt-crosstalk-fade { + opacity: 0.2; +} + +html body div.DTS div.dataTables_scrollBody { + background: none; +} + + +/* +Fix https://github.com/rstudio/DT/issues/563 +If the `table.display` is set to "block" (e.g., pkgdown), the browser will display +datatable objects strangely. The search panel and the page buttons will still be +in full-width but the table body will be "compact" and shorter. +In therory, having this attributes will affect `dom="t"` +with `display: block` users. But in reality, there should be no one. +We may remove the below lines in the future if the upstream agree to have this there. +See https://github.com/DataTables/DataTablesSrc/issues/160 +*/ + +table.dataTable { + display: table; +} + + +/* +When DTOutput(fill = TRUE), it receives a .html-fill-item class (via htmltools::bindFillRole()), which effectively amounts to `flex: 1 1 auto`. That's mostly fine, but the case where `fillContainer=TRUE`+`height:auto`+`flex-basis:auto` and the container (e.g., a bslib::card()) doesn't have a defined height is a bit problematic since the table wants to fit the parent but the parent wants to fit the table, which results pretty small table height (maybe because there is a minimum height somewhere?). It seems better in this case to impose a 400px height default for the table, which we can do by setting `flex-basis` to 400px (the table is still allowed to grow/shrink when the container has an opinionated height). +*/ + +.html-fill-container > .html-fill-item.datatables { + flex-basis: 400px; +} diff --git a/public/2024/07/database-connection/index_files/dt-core/css/jquery.dataTables.extra.css b/public/2024/07/database-connection/index_files/dt-core/css/jquery.dataTables.extra.css new file mode 100644 index 0000000..b2dd141 --- /dev/null +++ b/public/2024/07/database-connection/index_files/dt-core/css/jquery.dataTables.extra.css @@ -0,0 +1,28 @@ +/* Selected rows/cells */ +table.dataTable tr.selected td, table.dataTable td.selected { + background-color: #b0bed9 !important; +} +/* In case of scrollX/Y or FixedHeader */ +.dataTables_scrollBody .dataTables_sizing { + visibility: hidden; +} + +/* The datatables' theme CSS file doesn't define +the color but with white background. It leads to an issue that +when the HTML's body color is set to 'white', the user can't +see the text since the background is white. One case happens in the +RStudio's IDE when inline viewing the DT table inside an Rmd file, +if the IDE theme is set to "Cobalt". + +See https://github.com/rstudio/DT/issues/447 for more info + +This fixes should have little side-effects because all the other elements +of the default theme use the #333 font color. + +TODO: The upstream may use relative colors for both the table background +and the color. It means the table can display well without this patch +then. At that time, we need to remove the below CSS attributes. +*/ +div.datatables { + color: #333; +} diff --git a/public/2024/07/database-connection/index_files/dt-core/css/jquery.dataTables.min.css b/public/2024/07/database-connection/index_files/dt-core/css/jquery.dataTables.min.css new file mode 100644 index 0000000..ad59f84 --- /dev/null +++ b/public/2024/07/database-connection/index_files/dt-core/css/jquery.dataTables.min.css @@ -0,0 +1 @@ +:root{--dt-row-selected: 13, 110, 253;--dt-row-selected-text: 255, 255, 255;--dt-row-selected-link: 9, 10, 11;--dt-row-stripe: 0, 0, 0;--dt-row-hover: 0, 0, 0;--dt-column-ordering: 0, 0, 0;--dt-html-background: white}:root.dark{--dt-html-background: rgb(33, 37, 41)}table.dataTable td.dt-control{text-align:center;cursor:pointer}table.dataTable td.dt-control:before{display:inline-block;color:rgba(0, 0, 0, 0.5);content:"►"}table.dataTable tr.dt-hasChild td.dt-control:before{content:"▼"}html.dark table.dataTable td.dt-control:before{color:rgba(255, 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b/public/2024/07/database-connection/index_files/dt-core/js/jquery.dataTables.min.js @@ -0,0 +1,4 @@ +/*! DataTables 1.13.6 + * ©2008-2023 SpryMedia Ltd - datatables.net/license + */ +!function(n){"use strict";var a;"function"==typeof define&&define.amd?define(["jquery"],function(t){return n(t,window,document)}):"object"==typeof exports?(a=require("jquery"),"undefined"==typeof window?module.exports=function(t,e){return t=t||window,e=e||a(t),n(e,t,t.document)}:n(a,window,window.document)):window.DataTable=n(jQuery,window,document)}(function(P,j,v,H){"use strict";function d(t){var e=parseInt(t,10);return!isNaN(e)&&isFinite(t)?e:null}function l(t,e,n){var a=typeof t,r="string"==a;return"number"==a||"bigint"==a||!!h(t)||(e&&r&&(t=$(t,e)),n&&r&&(t=t.replace(q,"")),!isNaN(parseFloat(t))&&isFinite(t))}function a(t,e,n){var a;return!!h(t)||(h(a=t)||"string"==typeof a)&&!!l(t.replace(V,"").replace(/ + + A Data Dic(tionary) pic of TdlM - The Median Duck + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +

vires in notitia

+ + +
+
+
+

A Data Dic(tionary) pic of TdlM

+
Posted on Jul 31, 2024
+
+ + +
+ +
+ +
+ + + + + + + + + + + + + + + + + + +
+

Your Task

+
+

Obtain a good overview of the tables in the TdLM database, what these tables contain, how these tables are linked together, and which ones are the most important for this project.

+
+
+
+

Don’t be a Data Dic (tionary) about this…

+

This article assumes that you are able to connect to the TdlM database successfully (database connection post).

+

A reminder that these are the tables available to us in TdlM database are.

+
tm_db_tables <- dbListTables(tm_db)
+tm_db_tables
+
##  [1] "attempts"           "discrepancies"      "episode_scores"     "episodes"           "intros"             "measurements"       "normalized_scores"  "objectives"         "people"             "podcast"            "profanity"          "series"             "series_scores"      "special_locations"  "task_briefs"        "task_readers"       "task_winners"       "tasks"              "tasks_by_objective" "team_tasks"         "teams"              "title_coiners"      "title_stats"
+
+

A Data Dic(tionary) Pic: An Overview of the Plan

+

To formulate our basic data dictionary, we are going to go one by one through these 23 tables, perform a simple query to sample the data and infer what the table and data pertains to. Basic data summaries will be performed on these tables to get a sense of potential distribution of values, and any missing values.

+

In the spirit automation, we will be querying each table through a for loop, cycling through the tables names provided above. This means we won’t be repeating too much work, and if tables are added or changed in the future, we can re-run the code quickly to obtain new samples for inspection.

+

Fulll details of the deep dive can be found in the appendix

+
+
+
+

Summary of Findings

+

Based on the deep dive, here is a brief summary of each table and a heuristic categorisation (Tier) of how important they are to this project. +This categorisation could be used for prioritisation purposes in ensuring that this data is collected in a timely manner, and that we have high quality data for them.1

+
    +
  • Tier 1: Essential and fundamental to The Median Duck project. High data quality required to make the project successful. Data Collection of these tables should be prioritised in the case of an emergency.
  • +
  • Tier 2: Currently not essential, but may be required at a later date, particularly once performing additional investigations and deep dives.
  • +
  • Tier 3: Good auxiliary and insights tables, but not essential to The Median Duck.
  • +
+
+ +

The series table indicates, TdlM only contains data associated with the UK series of Taskmaste (both regular and New Years Treat).

+

Through this deep dive, I also observed that the data output obtained from this R connection, can be less intuitive and comprehensible than that presented throught the Datasette website interface. It is possible that some front end processing is occurring for the website which uses the intrinsic links between the tables to provide intuitive, comprehensible data records. The use of REFERENCES <table>(id) in the CREATE TABLE statement is likely an indication of how this data linked together.

+

For example compare the output in the episode_scores table, when querying through R and through the Datasette website.

+

The episode, contestant columns are numerical in the the R output, whilst they are meaning strings in the website output; namely the actual episode titles, and contestants full names.

+

This indicates some additional work will likely be required in R to get data in this in this similarly intuitive and informative manner. Datasette will have the benefit that some of this back end processing has already been performed, and a lower barrier to entry. Saying this, if execute the raw SQL query directly on the Datasette website, we do get the less intuitive data (link).

+
query <- "SELECT id, episode, contestant, score, rank, series, srank FROM episode_scores WHERE \"id\" >= 51 AND \"id\" <= 55 ORDER BY id LIMIT 101"
+
+
+

Output from the database file through R:

+
+ +
+
+

Output from Datasette website: +

+
+
+
+
+

Final Thoughts

+
+

There are 10 tables in the TdlM database which we consider to be essential to the The Median Duck project. +These tables are attempts, episode_scores, episodes, people, series, series_scores, task_winners, tasks, team_tasks, teams.

+
+
+
+

Appendix Details

+

Comprehensive details on how the data dictionary and heuristic ranking came to be. Data samples and summary statistics also provided.

+

Be warned, it’s very dry and not for the faint heartened! You do however get to see my coding standards and commentary style however.

+
library(Hmisc)  #Library/Function to provide data summaries.
+
+# Initially empty list to contain the data frame samples.
+data_sample_list <- list()
+sample_size <- 10
+
+# For each table...
+
+# Perform a SELECT * FROM {tbl} query to pull data.
+
+# Randomly sample data using R, and also get summary statistics
+
+# Add data sample to list for easy access.
+for (iter in 1:length(tm_db_tables)) {
+    tbl <- tm_db_tables[iter]
+    select_query <- sprintf("SELECT * FROM %s", tbl)
+
+    set.seed(1234)  # Set seed for reproducibility.
+
+    query_output <- dbGetQuery(tm_db, select_query)
+
+    # Random sample from table
+    table_sample <- query_output[sample(1:nrow(query_output), size = sample_size), ]
+
+    # Summary statistics for entire table
+    table_summary <- Hmisc::describe(query_output)
+
+    # List of two objects
+    table_list <- list(data_sample = table_sample, data_summary = table_summary)
+
+    data_sample_list[[iter]] <- table_list
+}
+
+
+# Give the list items the table names we have queried from
+data_sample_list <- setNames(data_sample_list, tm_db_tables)
+
+

attempts

+

The attempts table table fundamentally captures each contestants attempt at each task; that is for each task, contestant the points awarded from their task attempt (points) and their ranking with respect to the other contestants (rank).

+

Information is also provided to the team id (if the task is a team task), and the location id of where the task was held.

+
    +
  • N.B. episode and series here denotes the contestant’s cumulative episode and series score respectively.
  • +
  • adjustmentis present to adjust for series bias??
  • +
  • PO denotes the Presentation Order, the order in which the contestants attempts was presented in the recording. 0 denotes simultaneous presentation of the attempts.
  • +
+
+ +See attempts Sample! + +
data_sample_list[["attempts"]]$data_sample
+
##        id task contestant PO base adjustment points rank episode series team location
+## 3356 3356  693         91  4    5         NA      5   1=       8     97   NA       NA
+## 3920 3920  808        107  2    5         NA      5   1=      12    104   NA       NA
+## 3066 3066  635         81 2=    5         NA      5    1      21     99   NA       NA
+## 3173 3173  657         83  1    0         NA      0 <NA>      11     11   NA       NA
+## 1004 1004  214         37 1=    1         NA      1   2=      10     21   12       NA
+## 623   623  133         20  2    3         NA      3    3       3     95   NA       NA
+## 2953 2953  611         82 1=    4          1      5    2      10     41   NA       NA
+## 2693 2693  559         69 3=    2         NA      2   4=      11     64   NA       NA
+## 934   934  199         30  0    4         NA      4   2=      20     20   NA       NA
+## 400   400   84         15  1    1         NA      1    5       6     49   NA       NA
+
+
+ +See attempts Summary! + +
data_sample_list[["attempts"]]$data_summary
+
## query_output 
+## 
+##  12  Variables      3975  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3975        0     3975        1     1988     1325    199.7    398.4    994.5   1988.0   2981.5   3577.6   3776.3 
+## 
+## lowest :    1    2    3    4    5, highest: 3971 3972 3973 3974 3975
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3975        0      819        1    413.4      272     44.0     84.0    212.5    414.0    617.0    737.6    778.3 
+## 
+## lowest :   1   2   3   4   5, highest: 815 816 817 818 819
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## contestant 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3975        0      106        1    54.53       34        9       16       33       51       79      100      104 
+## 
+## lowest :   1   3   4   5   6, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## PO 
+##        n  missing distinct 
+##     3967        8       10 
+##                                                                       
+## Value          0     1    1=     2    2=     3    3=     4    4=     5
+## Frequency    425   386   850   318   316   355   296   330   240   451
+## Proportion 0.107 0.097 0.214 0.080 0.080 0.089 0.075 0.083 0.060 0.114
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## base 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3795      180       15    0.966    3.008    1.833        0        1        2        3        4        5        5 
+##                                                                                                     
+## Value         -5    -2    -1     0     1     2     3     4     5     6     7    10    12    13    15
+## Frequency      2     2     1   279   511   651   738   717   877     7     1     5     2     1     1
+## Proportion 0.001 0.001 0.000 0.074 0.135 0.172 0.194 0.189 0.231 0.002 0.000 0.001 0.001 0.000 0.000
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## adjustment 
+##        n  missing distinct     Info     Mean      Gmd 
+##       63     3912        7    0.584    0.619    1.269 
+##                                                     
+## Value         -5    -2    -1     1     2     3     5
+## Frequency      3     2     5    47     4     1     1
+## Proportion 0.048 0.032 0.079 0.746 0.063 0.016 0.016
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## points 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3975        0       16    0.969    2.882    1.935        0        0        2        3        4        5        5 
+##                                                                                                           
+## Value         -5    -4    -2    -1     0     1     2     3     4     5     6     7    10    12    13    15
+## Frequency      2     1     2     3   444   520   645   740   717   878    12     2     5     2     1     1
+## Proportion 0.001 0.000 0.001 0.001 0.112 0.131 0.162 0.186 0.180 0.221 0.003 0.001 0.001 0.001 0.000 0.000
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## rank 
+##        n  missing distinct 
+##     3510      465        9 
+##                                                                 
+## Value          1    1=     2    2=     3    3=     4    4=     5
+## Frequency    614   397   515   328   470   160   443   120   463
+## Proportion 0.175 0.113 0.147 0.093 0.134 0.046 0.126 0.034 0.132
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episode 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3974        1       31    0.997    9.421    6.145        2        3        5        9       13       17       19 
+## 
+## lowest : -4  0  1  2  3, highest: 25 26 27 28 30
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3974        1      180        1    71.52    52.22        6       12       32       68      108      136      150 
+## 
+## lowest :   0   1   2   3   4, highest: 175 176 179 181 184
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## team 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      475     3500       36    0.999    21.09    11.56        4        7       13       22       30       34       35 
+## 
+## lowest :  1  2  3  4  5, highest: 32 33 34 35 36
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## location 
+##        n  missing distinct     Info     Mean      Gmd 
+##       50     3925        3    0.271     1.52    2.875 
+##                          
+## Value         0    5   22
+## Frequency    45    2    3
+## Proportion 0.90 0.04 0.06
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

discrepancies

+

The discrepancies table exists +“to account for the two whole points that have gone misplaced in the history of TMUK” 2

+

The table has the series, episode, contestant, task that caused the discrepancy, and the discrepancy between observed and official (truth??). The data summary shows that there are only 10 observations so this table is unlikely to be a top priority.

+
+ +See discrepancies Sample! + +
data_sample_list[["discrepancies"]]$data_sample
+
##    id contestant task episode series observed official
+## 10 10         67   NA      NA     11      159      158
+## 6   6         52   NA      NA      9      160      159
+## 5   5         51   NA      NA      9      157      158
+## 4   4         52   NA      72     NA       18       17
+## 1   1         51  416      NA     NA        2        3
+## 8   8         67   NA      86     NA       19       18
+## 2   2         52  416      NA     NA        3        2
+## 7   7         66   NA      86     NA       16       17
+## 9   9         66   NA      NA     11      153      154
+## 3   3         51   NA      72     NA       14       15
+
+
+ +See discrepancies Summary! + +
data_sample_list[["discrepancies"]]$data_summary
+
## query_output 
+## 
+##  7  Variables      10  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       10        0       10        1      5.5    3.667     1.45     1.90     3.25     5.50     7.75     9.10     9.55 
+##                                                   
+## Value        1   2   3   4   5   6   7   8   9  10
+## Frequency    1   1   1   1   1   1   1   1   1   1
+## Proportion 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## contestant 
+##        n  missing distinct     Info     Mean      Gmd 
+##       10        0        4    0.939     57.5    8.289 
+##                           
+## Value       51  52  66  67
+## Frequency    3   3   2   2
+## Proportion 0.3 0.3 0.2 0.2
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd 
+##        2        8        1        0      416        0 
+##               
+## Value      416
+## Frequency    2
+## Proportion   1
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episode 
+##        n  missing distinct     Info     Mean      Gmd 
+##        4        6        2      0.8       79    9.333 
+##                   
+## Value       72  86
+## Frequency    2   2
+## Proportion 0.5 0.5
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd 
+##        4        6        2      0.8       10    1.333 
+##                   
+## Value        9  11
+## Frequency    2   2
+## Proportion 0.5 0.5
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## observed 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       10        0       10        1     70.1    80.91     2.45     2.90    14.50    18.50   156.00   159.10   159.55 
+##                                                   
+## Value        2   3  14  16  18  19 153 157 159 160
+## Frequency    1   1   1   1   1   1   1   1   1   1
+## Proportion 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## official 
+##        n  missing distinct     Info     Mean      Gmd 
+##       10        0        8    0.988     70.1    80.56 
+##                                           
+## Value        2   3  15  17  18 154 158 159
+## Frequency    1   1   1   2   1   1   2   1
+## Proportion 0.1 0.1 0.1 0.2 0.1 0.1 0.2 0.1
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

episode_scores

+

The episode_scores table details the total number of points (score) awarded for each contestant in an episode, and their ranking within the episode against other contestants (rank). The cumulative series score and rank are also provided (series and srank respectively).3

+
+ +See episode_scores Sample! + +
data_sample_list[["episode_scores"]]$data_sample
+
##      id episode contestant score rank series srank
+## 284 284      57         46    11    4     40     5
+## 101 101      21         18    21   1=     83     4
+## 623 623     125         90     6    5    113    4=
+## 645 645     129        102    19    1     19     1
+## 400 400      80         57    12    4     97     2
+## 98   98      20         20    15    5     58     5
+## 103 103      21         20    15    4     73     5
+## 726 726     146        103    15   2=    123     2
+## 602 602     121         89    15    3     60     3
+## 326 326      66         48    10    5     24     5
+
+
+ +See episode_scores Summary! + +
data_sample_list[["episode_scores"]]$data_summary
+
## query_output 
+## 
+##  7  Variables      740  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      740        0      740        1    370.5      247    37.95    74.90   185.75   370.50   555.25   666.10   703.05 
+## 
+## lowest :   1   2   3   4   5, highest: 736 737 738 739 740
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episode 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      740        0      148        1     74.5     49.4     8.00    15.00    37.75    74.50   111.25   134.00   141.00 
+## 
+## lowest :   1   2   3   4   5, highest: 144 145 146 147 148
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## contestant 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      740        0      105        1    55.68    34.03      9.0     16.0     34.0     52.5     80.0    100.0    104.0 
+## 
+## lowest :   3   4   5   6   7, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## score 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      740        0       26    0.995    15.47    4.767        9       10       13       16       18       21       22 
+## 
+## lowest :  3  5  6  7  8, highest: 25 26 27 28 30
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## rank 
+##        n  missing distinct 
+##      740        0        9 
+##                                                                 
+## Value          1    1=     2    2=     3    3=     4    4=     5
+## Frequency    123    52   104    41   105    46   108    32   129
+## Proportion 0.166 0.070 0.141 0.055 0.142 0.062 0.146 0.043 0.174
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      740        0      166        1    77.45    52.36     13.0     17.0     37.0     74.5    113.0    142.0    155.0 
+## 
+## lowest :   5   6   7   8   9, highest: 174 175 176 181 184
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## srank 
+##        n  missing distinct 
+##      740        0        9 
+##                                                                 
+## Value          1    1=     2    2=     3    3=     4    4=     5
+## Frequency    140    16   123    37   121    20   125    22   136
+## Proportion 0.189 0.022 0.166 0.050 0.164 0.027 0.169 0.030 0.184
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

episodes

+

The episodes table details key information at the (series, episode) level. Information includes the episode title (title), the winner of the episode (winner), total number of judged tasks in the episode (tasks) and total number of points awarded in the episode (points). Logistical information on the episode such as whether the episode is a finale or not, and the studio and air date are also available.

+

It is not clear at the moment as to what the TMI represents.

+
+ +See episodes Sample! + +
data_sample_list[["episodes"]]$data_sample
+
##      id series episode                     title winner   air_date studio_date points tasks finale TMI
+## 28   28      5       4  Residue around the hoof.     25 2017-10-04  2017-07-04     96     7      0  28
+## 80   80     10       6             Hippopotamus.     56 2020-11-19  2020-07-29     77     5      0  80
+## 101 101     12       6       A chair in a sweet.     70 2021-10-28        <NA>     76     5      0 267
+## 111 111     13       5  Having a little chuckle.     78 2022-05-12  2021-09-20     67     5      0 316
+## 137 137     15       9    A show about pedantry.    101 2023-05-25  2022-09-28     84     5      0 470
+## 133 133     15       5             Old Honkfoot.    102 2023-04-27  2022-09-26     97     5      0 466
+## 132 132     15       4   How heavy is the water?    100 2023-04-20  2022-09-23     57     5      0 465
+## 98   98     12       3 The end of the franchise.     69 2021-10-07        <NA>     80     5      0 264
+## 103 103     12       8       A couple of Ethels.     68 2021-11-11        <NA>     79     5      0 269
+## 90   90     11       5            Slap and tong.     63 2021-04-15        <NA>     70     5      0 215
+
+
+ +See episodes Summary! + +
data_sample_list[["episodes"]]$data_summary
+
## query_output 
+## 
+##  11  Variables      148  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0      148        1     74.5    49.67     8.35    15.70    37.75    74.50   111.25   133.30   140.65 
+## 
+## lowest :   1   2   3   4   5, highest: 144 145 146 147 148
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0       21    0.996    8.764    5.553        1        2        5        9       13       15       16 
+## 
+## lowest : -5 -4 -3 -2 -1, highest: 12 13 14 15 16
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episode 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0       10    0.989    4.966    3.286        1        1        2        5        7        9       10 
+##                                                                       
+## Value          1     2     3     4     5     6     7     8     9    10
+## Frequency     21    17    16    16    16    14    13    13    11    11
+## Proportion 0.142 0.115 0.108 0.108 0.108 0.095 0.088 0.088 0.074 0.074
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## title 
+##        n  missing distinct 
+##      148        0      148 
+## 
+## lowest : 100% Bosco.              A chair in a sweet.      A coquettish fascinator. A couple of Ethels.      A cuddle.               , highest: Welcome to Rico Face.    What kind of pictures?   Wiley giraffe blower.    You've got no chutzpah.  You tuper super.        
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## winner 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0       78        1    55.77    34.28    10.35    16.00    34.75    52.50    80.00   101.00   103.65 
+## 
+## lowest :   3   4   5   7   8, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## air_date 
+##        n  missing distinct 
+##      148        0      148 
+## 
+## lowest : 2015-07-28 2015-08-04 2015-08-11 2015-08-18 2015-08-25, highest: 2023-10-26 2023-11-02 2023-11-09 2023-11-16 2023-11-23
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## studio_date 
+##        n  missing distinct 
+##      108       40       55 
+## 
+## lowest : 2015-03-23 2015-03-24 2015-03-25 2017-07-03 2017-07-04, highest: 2023-05-02 2023-05-03 2023-05-04 2023-05-11 2023-05-12
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## points 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0       48    0.998    77.36     12.2    61.35    65.00    71.00    77.00    82.25    91.30    98.00 
+## 
+## lowest :  47  53  57  58  59, highest: 103 106 107 110 120
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## tasks 
+##        n  missing distinct     Info     Mean      Gmd 
+##      148        0        3    0.565    5.264   0.4044 
+##                             
+## Value          5     6     7
+## Frequency    111    35     2
+## Proportion 0.750 0.236 0.014
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## finale 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##      148        0        2    0.289       16   0.1081   0.1942 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## TMI 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0      148        1    178.2      187     8.35    15.70    37.75    74.50   317.25   466.30   503.65 
+## 
+## lowest :   1   2   3   4   5, highest: 507 508 509 510 511
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

intros

+

The intros table has information associated with the intro sequence for each series. This intro sequence is assumed to remain the same across all episodes within the same series (except for the end shot which features the episode title).

+

The intro sequence has been decomposed into which person is featured (person is not limited to contestants and can include Greg or Little Alex Horne), and the task it is taken from. The clip field does not seem to have much meaning in its R form, but inspecting this data through the Datasette website highlights that this links to a mp4 of that particular part of the intro on imgur.com. 4

+
+ +See intros Sample! + +
data_sample_list[["intros"]]$data_sample
+
##      id series clip person              task
+## 284 284      7   G6      2 Be the Taskmaster
+## 101 101      3   18     13                86
+## 400 400     10   26     57               464
+## 98   98      3   15     15                91
+## 103 103      3   18     15                86
+## 602 602     16   15      1               811
+## 326 326      9    2     51      unidentified
+## 79   79      3    2     14                68
+## 270 270      7   19     38               272
+## 382 382     10   12      1               466
+
+
+ +See intros Summary! + +
data_sample_list[["intros"]]$data_summary
+
## query_output 
+## 
+##  5  Variables      616  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      616        0      616        1    308.5    205.7    31.75    62.50   154.75   308.50   462.25   554.50   585.25 
+## 
+## lowest :   1   2   3   4   5, highest: 612 613 614 615 616
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      616        0       16    0.996    8.263    5.288        1        2        4        8       12       15       16 
+##                                                                                                           
+## Value          1     2     3     4     5     6     7     8     9    10    11    12    13    14    15    16
+## Frequency     38    38    44    49    38    36    41    39    43    36    34    34    37    37    37    35
+## Proportion 0.062 0.062 0.071 0.080 0.062 0.058 0.067 0.063 0.070 0.058 0.055 0.055 0.060 0.060 0.060 0.057
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## clip 
+##        n  missing distinct 
+##      616        0       36 
+## 
+## lowest : 1  10 11 12 13, highest: G2 G3 G4 G5 G6
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## person 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      616        0       83    0.994    34.97    37.52      1.0      1.0      2.0     24.0     58.5     90.0    101.0 
+## 
+## lowest :   0   1   2   3   4, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct 
+##      616        0      274 
+## 
+## lowest : 101               102               107               113               114              , highest: 92                96                Be the Taskmaster unaired           unidentified     
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

measurements

+

The measurements table table details for a particular task, contestant, the measurable outcome of their attempt.

+

For example, the duration of the time the task lasted for (either to successful completion, or until failure termination) or the longest distance travelled. The objective column provides insight into the units of the measurement and the objective (for example most, least, closest).

+

Care is likely required on the measurement field as to how inconclusive measurements are handed (was not observed and thus measured) and disqualifications.

+
+ +See measurements Sample! + +
data_sample_list[["measurements"]]$data_sample
+
##        id task contestant measurement objective
+## 1308 1308  551         69         0.0         2
+## 1872 1872  762        100         3.8         4
+## 1018 1018  439         57       393.0         2
+## 1942 1942  785        106       474.0         2
+## 1125 1125  486         58      1500.0       111
+## 1004 1004  435         53         8.0       103
+## 623   623  258         33        20.5        27
+## 905   905  381         51         0.0        94
+## 645   645  264         35         0.0        75
+## 934   934  394         50         0.0        97
+
+
+ +See measurements Summary! + +
data_sample_list[["measurements"]]$data_summary
+
## query_output 
+## 
+##  5  Variables      2037  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     2037        0     2037        1     1019    679.3    102.8    204.6    510.0   1019.0   1528.0   1833.4   1935.2 
+## 
+## lowest :    1    2    3    4    5, highest: 2033 2034 2035 2036 2037
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     2037        0      391        1    418.9    279.9       37       73      205      440      627      744      782 
+## 
+## lowest :   2   4   6   8   9, highest: 809 811 813 814 819
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## contestant 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     2037        0      106        1    55.33    35.27        7       14       32       54       80      101      104 
+## 
+## lowest :   1   3   4   5   6, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## measurement 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     1819      218      671    0.999   298921   597507      0.0      0.5      3.0     16.0    270.0    921.2   1527.3 
+## 
+## lowest :     -2143      -128       -40       -35       -33, highest:   4185000  10368000  30305028  30355028 461031285
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## objective 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     2037        0      179    0.967    48.24    57.37        2        2        2       30       91      139      159 
+## 
+## lowest :   1   2   3   4   5, highest: 175 176 177 178 179
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

normalized_scores

+

The normalized_scores table attempts to normalise scores across contestants for a particular task in an episode. This normalisation is required when bonus points are awarded in addition to the main tasak, and to handle ranking ties (two or more contestants achieved the same measurement and/or points in a task attempt), different ranking strategies are employed to handle ties.

+

Columns:

+
    +
  • base is the number of points awarded by the Taskmaster without the bonus points. These will typically be valued 0, 1, 2, 3, 4, 5, although the data also suggests it can be negative on a few rare occasions. These are typically when Alex is being particularly mischievous (e.g. lose points if you don’t do the tasks correctly).
  • +
  • points is the number of points awarded including the bonus points or the Taskmaster going rogue.
  • +
  • adjustment is the difference between points and base.
  • +
  • rank is the ranking of contestant according to the base column, that is before bonus points are rewarded.
  • +
  • rigid is the tidiest normalisation of points where 5 points are awarded for 1st, 4 for 2nd etc.
  • +
  • spread evenly distributes the points across the tied contestants.
  • +
  • scale scores are normalised such that no score exceed a maximum of 5. Previously tried to scale scores so that the sum was 15.
  • +
  • 5+3, 3+2 and 3½+2½ are normalisation tactics for team tasks.
  • +
+
+ +See normalized_scores Sample! + +
data_sample_list[["normalized_scores"]]$data_sample
+
##        id task contestant base adjustment points rank rigid spread scale 5+3 3+2 3½+2½
+## 3356 3356  693         91    5         NA      5   1=     5    3.5  3.57  NA  NA    NA
+## 3920 3920  808        107    5         NA      5   1=     5    4.5  4.69  NA  NA    NA
+## 3066 3066  635         81    5         NA      5    1     5    5.0  5.00  NA  NA    NA
+## 3173 3173  657         83    0         NA      0 <NA>    NA     NA    NA  NA  NA    NA
+## 1004 1004  214         37    1         NA      1   2=    NA     NA  1.25   3   2   2.5
+## 623   623  133         20    3         NA      3    3     3    3.0  3.00  NA  NA    NA
+## 2953 2953  611         82    4          1      5    2     4    4.0  4.00  NA  NA    NA
+## 2693 2693  559         69    2         NA      2   4=     2    1.5  1.88  NA  NA    NA
+## 934   934  199         30    4         NA      4   2=     4    3.0  3.33  NA  NA    NA
+## 400   400   84         15    1         NA      1    5     1    1.0  1.00  NA  NA    NA
+
+
+ +See normalized_scores Summary! + +
data_sample_list[["normalized_scores"]]$data_summary
+
## query_output 
+## 
+##  13  Variables      3975  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3975        0     3975        1     1988     1325    199.7    398.4    994.5   1988.0   2981.5   3577.6   3776.3 
+## 
+## lowest :    1    2    3    4    5, highest: 3971 3972 3973 3974 3975
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3975        0      819        1    413.4      272     44.0     84.0    212.5    414.0    617.0    737.6    778.3 
+## 
+## lowest :   1   2   3   4   5, highest: 815 816 817 818 819
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## contestant 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3975        0      106        1    54.53       34        9       16       33       51       79      100      104 
+## 
+## lowest :   1   3   4   5   6, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## base 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3795      180       15    0.966    3.008    1.833        0        1        2        3        4        5        5 
+##                                                                                                     
+## Value         -5    -2    -1     0     1     2     3     4     5     6     7    10    12    13    15
+## Frequency      2     2     1   279   511   651   738   717   877     7     1     5     2     1     1
+## Proportion 0.001 0.001 0.000 0.074 0.135 0.172 0.194 0.189 0.231 0.002 0.000 0.001 0.001 0.000 0.000
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## adjustment 
+##        n  missing distinct     Info     Mean      Gmd 
+##       63     3912        7    0.584    0.619    1.269 
+##                                                     
+## Value         -5    -2    -1     1     2     3     5
+## Frequency      3     2     5    47     4     1     1
+## Proportion 0.048 0.032 0.079 0.746 0.063 0.016 0.016
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## points 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3975        0       16    0.969    2.882    1.935        0        0        2        3        4        5        5 
+##                                                                                                           
+## Value         -5    -4    -2    -1     0     1     2     3     4     5     6     7    10    12    13    15
+## Frequency      2     1     2     3   444   520   645   740   717   878    12     2     5     2     1     1
+## Proportion 0.001 0.000 0.001 0.001 0.112 0.131 0.162 0.186 0.180 0.221 0.003 0.001 0.001 0.001 0.000 0.000
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## rank 
+##        n  missing distinct 
+##     3510      465        9 
+##                                                                 
+## Value          1    1=     2    2=     3    3=     4    4=     5
+## Frequency    614   397   515   328   470   160   443   120   463
+## Proportion 0.175 0.113 0.147 0.093 0.134 0.046 0.126 0.034 0.132
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## rigid 
+##        n  missing distinct     Info     Mean      Gmd 
+##     3104      871        5    0.957    3.235    1.566 
+##                                         
+## Value          1     2     3     4     5
+## Frequency    463   563   624   691   763
+## Proportion 0.149 0.181 0.201 0.223 0.246
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## spread 
+##        n  missing distinct     Info     Mean      Gmd 
+##     3084      891        9    0.975    3.098    1.567 
+##                                                                 
+## Value        1.0   1.5   2.0   2.5   3.0   3.5   4.0   4.5   5.0
+## Frequency    460   120   495   130   514   120   543    92   610
+## Proportion 0.149 0.039 0.161 0.042 0.167 0.039 0.176 0.030 0.198
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## scale 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3484      491       53    0.987    3.102    1.504        1        1        2        3        4        5        5 
+## 
+## lowest : 0.385 0.5   0.714 0.75  0.833, highest: 4.41  4.5   4.62  4.69  5    
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## 5+3 
+##        n  missing distinct     Info     Mean      Gmd 
+##      400     3575        2    0.707     4.24   0.9448 
+##                     
+## Value         3    5
+## Frequency   152  248
+## Proportion 0.38 0.62
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## 3+2 
+##        n  missing distinct     Info     Mean      Gmd 
+##      400     3575        2    0.707     2.62   0.4724 
+##                     
+## Value         2    3
+## Frequency   152  248
+## Proportion 0.38 0.62
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## 3½+2½ 
+##        n  missing distinct     Info     Mean      Gmd 
+##      400     3575        2    0.707     3.12   0.4724 
+##                     
+## Value       2.5  3.5
+## Frequency   152  248
+## Proportion 0.38 0.62
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

objectives

+

The objectives table is a supplement of the measurements table and explicitly details the units, the objective (target) of a task. The label column appears to be a concatenation of unit and target.

+
+ +See objectives Sample! + +
data_sample_list[["objectives"]]$data_sample
+
##      id              unit target               label
+## 28   28        sweatdrops   most        sweatdrops ▲
+## 80   80  understood words   most  understood words ▲
+## 150 150     wrong guesses  least     wrong guesses ▼
+## 101 101          balloons   most          balloons ▲
+## 111 111 centimeters cubed   most centimeters cubed ▲
+## 137 137             hertz   most             hertz ▲
+## 133 133        characters   most        characters ▲
+## 166 166  piled pineapples   most  piled pineapples ▲
+## 144 144             signs   most             signs ▲
+## 132 132         questions  least         questions ▼
+
+
+ +See objectives Summary! + +
data_sample_list[["objectives"]]$data_summary
+
## query_output 
+## 
+##  4  Variables      179  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      179        0      179        1       90       60      9.9     18.8     45.5     90.0    134.5    161.2    170.1 
+## 
+## lowest :   1   2   3   4   5, highest: 175 176 177 178 179
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## unit 
+##        n  missing distinct 
+##      179        0      168 
+## 
+## lowest : % sand diverted  % signs obeyed   £                actual facts     alarms          , highest: understood words votes            white circles    wrong guesses    zip-lined items 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## target 
+##        n  missing distinct 
+##      179        0        3 
+##                                
+## Value       least median   most
+## Frequency      42      1    136
+## Proportion  0.235  0.006  0.760
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## label 
+##        n  missing distinct 
+##      179        0      179 
+## 
+## lowest : % sand diverted ▲ % signs obeyed ▲  £ ▲               actual facts ▲    alarms ▼         , highest: votes ▲           white circles ▲   wrong guesses ▲   wrong guesses ▼   zip-lined items ▲
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

people

+

The people table provides a variety information on both contestants, the Taskmaster and Little Alex Horne. Included information is both Taskmaster specific (which seat are they in, the team they were part of, whether they were a champion), and more general information (dob, gender, left or right handed (hand).

+

TMI is an identifier for the on the taskmaster.info website that the data is collated from.

+
+ +See people Sample! + +
data_sample_list[["people"]]$data_sample
+
##      id series seat              name        dob gender hand team champion TMI
+## 28   28     -1    1      Bob Mortimer 1959-05-23      M    R   NA        0  42
+## 80   80     13    3      Chris Ramsey 1986-08-03      M    R   29        0 310
+## 22   22      4    5     Noel Fielding 1973-05-21      M    R    8        1  21
+## 101 101     15    4 Kiell Smith-Bynoe 1989-03-05      M    R   34        0 394
+## 108 108     -6    1    Deborah Meaden 1959-02-11      F    R   NA        0 512
+## 111 111     -6    4   Steve Backshall 1973-04-21      M    R   NA        0 515
+## 9     9      2    2     Joe Wilkinson 1975-05-02      M    R    4        0  70
+## 5     5      1    3     Roisin Conaty 1979-03-26      F    R    2        0  15
+## 38   38      7    1     James Acaster 1985-01-09      M    R   14        0   1
+## 16   16      3    4       Rob Beckett 1986-01-02      M    R    5        1   8
+
+
+ +See people Summary! + +
data_sample_list[["people"]]$data_summary
+
## query_output 
+## 
+##  10  Variables      117  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      117        0      117        1       59    39.33      6.8     12.6     30.0     59.0     88.0    105.4    111.2 
+## 
+## lowest :   1   2   3   4   5, highest: 113 114 115 116 117
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      115        2       23    0.998    4.696    8.146       -6       -5       -2        5       11       14       15 
+## 
+## lowest : -7 -6 -5 -4 -3, highest: 12 13 14 15 16
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## seat 
+##        n  missing distinct     Info     Mean      Gmd 
+##      115        2        5     0.96        3    1.614 
+##                               
+## Value        1   2   3   4   5
+## Frequency   23  23  23  23  23
+## Proportion 0.2 0.2 0.2 0.2 0.2
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## name 
+##        n  missing distinct 
+##      117        0      102 
+## 
+## lowest : Adrian Chiles           Aisling Bea             Al Murray               Alan Davies             Alex Horne             , highest: Susan Wokoma            Tim Key                 Tim Vine                Victoria Coren Mitchell Zoe Ball               
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## dob 
+##        n  missing distinct 
+##      117        0      102 
+## 
+## lowest : 1957-01-28 1957-07-23 1959-02-11 1959-05-23 1959-05-25, highest: 1992-12-29 1993-01-04 1993-05-28 1994-01-30 2009-03-18
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## gender 
+##        n  missing distinct 
+##      117        0        3 
+##                             
+## Value          F     M    NB
+## Frequency     49    67     1
+## Proportion 0.419 0.573 0.009
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## hand 
+##        n  missing distinct 
+##      117        0        2 
+##                     
+## Value         L    R
+## Frequency     7  110
+## Proportion 0.06 0.94
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## team 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       80       37       32    0.999    18.23    12.74     2.00     4.00     8.75    16.50    28.25    33.10    35.00 
+## 
+## lowest :  1  2  3  4  5, highest: 32 33 34 35 36
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## champion 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##      117        0        2    0.354       16   0.1368   0.2381 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## TMI 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      117        0      102        1    170.2    183.8      8.0     14.6     31.0     60.0    320.0    416.4    457.2 
+## 
+## lowest :   1   2   5   6   7, highest: 512 513 514 515 516
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

podcast

+

The podcast table provides information regarding the Official Taskmaster Podcast hosted by Ed Gamble (no the People’s Taskmaster). Information on who the podcast guest was, their rating for the podcast episode, and the topic is available (topic will typically be the latest episode broadcasted).

+
+ +See podcast Sample! + +
data_sample_list[["podcast"]]$data_sample
+
##      id episode guest topic rating
+## 28   28      28    67    90      5
+## 80   80      79    78   110      5
+## 101 101     100    90   120      5
+## 111 111     110    46    56      5
+## 137 137     136    82    71      3
+## 133 133     132    27   137      4
+## 144 144     143   103   142      5
+## 132 132     131     0   136      5
+## 98   98      97    38    53      4
+## 103 103     102    52   122      4
+
+
+ +See podcast Summary! + +
data_sample_list[["podcast"]]$data_summary
+
## query_output 
+## 
+##  5  Variables      150  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      150        0      150        1     75.5    50.33     8.45    15.90    38.25    75.50   112.75   135.10   142.55 
+## 
+## lowest :   1   2   3   4   5, highest: 146 147 148 149 150
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episode 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      150        0      149        1    74.72    49.99     8.45    15.90    37.25    74.50   111.75   134.10   141.55 
+## 
+## lowest :   1   2   3   4   5, highest: 145 146 147 148 149
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## guest 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      150        0       68    0.992    40.54    39.61      0.0      0.0      4.0     40.0     67.0     92.3    100.5 
+## 
+## lowest :   0   1   2   4   6, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## topic 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      150        0      149        1    74.14    49.87     7.45    14.90    37.25    74.50   110.75   133.10   140.55 
+## 
+## lowest :   0   1   2   3   4, highest: 144 145 146 147 148
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## rating 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      149        1       12     0.72    4.829    1.632      2.4      3.0      4.0      5.0      5.0      5.0      5.0 
+##                                                                                               
+## Value       0.000  1.000  2.000  3.000  3.894  4.000  4.600  5.000  6.000  9.000 10.000 50.000
+## Frequency       1      4      3     15      1     21      1     97      3      1      1      1
+## Proportion  0.007  0.027  0.020  0.101  0.007  0.141  0.007  0.651  0.020  0.007  0.007  0.007
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

profanity

+

The profanity table details the profanity observed on the show. Each record details which series, episode, task the profanity occurred, who was the profanity offender (speaker), the offending words (roots) and the exact quote. Whether the profanity occurred in the studio or not (a pre-recorded task) is also available.

+
+ +See profanity Sample! + +
data_sample_list[["profanity"]]$data_sample
+
##        id series episode task speaker                   roots                                                                                                                      quote studio
+## 1308 1308     11      88  503       1                ["fuck"]                                        Well, I wouldn't have used those words, no, I would have said completely fucked it.      1
+## 1872 1872     15     136  751      99                ["damn"]                                       I've had very few points for LOLs-based prize tasks, so here's some goddamn feeling.      1
+## 1018 1018      9      67  393      48 ["ass/arse","ass/arse"]                                                               It just says Broad Arse now. Do you want a Broad Arse Award?      0
+## 1942 1942     16     141  781     107             ["bastard"]                                                                                                       It is Chain Bastard.      0
+## 1125 1125      9      74  428      49                ["fuck"] Were you just thinking, "Why have they saved this boring task for the end of the series?" Because fuck me, strap in, mate.      1
+## 1004 1004      9      67  389       2                ["dick"]                                                                                                    The stick and the dick.      1
+## 623   623      6      39  234      36                ["fuck"]                                                                                                            Oh, fucking...!      0
+## 905   905      8      59  347      43                ["fuck"]                                                              "You may not leave the room." Fuck it, let's do that as well.      0
+## 645   645      6      40  240      36             ["bastard"]                                                                             I'm just gonna have to Sellotape this bastard.      0
+## 934   934      8      62  364       2                ["shit"]                                                                                                              It's so shit!      1
+
+
+ +See profanity Summary! + +
data_sample_list[["profanity"]]$data_summary
+
## query_output 
+## 
+##  8  Variables      2041  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     2041        0     2041        1     1021    680.7      103      205      511     1021     1531     1837     1939 
+## 
+## lowest :    1    2    3    4    5, highest: 2037 2038 2039 2040 2041
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     2041        0       21    0.996    8.271    5.597        1        2        5        8       12       15       16 
+## 
+## lowest : -5 -4 -3 -2 -1, highest: 12 13 14 15 16
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episode 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     2041        0      148        1    70.17    49.61        6       12       34       67      108      132      141 
+## 
+## lowest :   1   2   3   4   5, highest: 144 145 146 147 148
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     2026       15      647        1    399.2      274    36.25    67.00   204.00   396.50   603.75   734.00   781.00 
+## 
+## lowest :   1   2   3   4   6, highest: 814 815 816 817 818
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## speaker 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     2041        0       99    0.974    36.44    37.98        2        2        2       34       63       91      101 
+## 
+## lowest :   0   1   2   3   4, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## roots 
+##        n  missing distinct 
+##     2041        0       69 
+## 
+## lowest : ["ass/arse","ass/arse"]                     ["ass/arse","bitch"]                        ["ass/arse"]                                ["bastard","bastard"]                       ["bastard"]                                , highest: ["twat"]                                    ["wank","cock"]                             ["wank","fuck","shit","cunt","tits","cock"] ["wank"]                                    ["whore"]                                  
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## quote 
+##        n  missing distinct 
+##     2041        0     1791 
+## 
+## lowest : 'Cause I thought I might have a shit while it was brewing.                                                         'Cause it ended up being dogshit!                                                                                  'Cause water's very fundamental to building sand bridges, ain't it? I'm sure that was on Countryfile or some shit. "'Fuck off!' roared Alex, grabbing the axe."                                                                       "And tiny bitch-puppet, Alex Horne."                                                                              
+## highest: You wouldn't have "activated Jamali" at all if he hadn't said "What the fuck am I doing?"                          You wouldn't take some prick with a blow-up walking stick.                                                         You, sir, are shit.                                                                                                Your trophy's been pissed on already.                                                                              Yours looks like a sort of naan matador gone wrong. Fuckin' horrifying!                                           
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## studio 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##     2041        0        2    0.736     1158   0.5674   0.4912 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

series

+

The series table details information at a series level. Information includes the number of episodes in the series, the champion, the total number of brodcasted tasks, and the total number of points awarded. Logistical information such as dates associated with the airing and studio record, and whether the series is a special is also available.

+

TMI is a id for the taskmaster.info website.

+

Further analysis of this table indicates that only information pertaining to the UK series of Taskmaster (regular and New Years Treat specials), are available.

+
+ +See series Sample! + +
data_sample_list[["series"]]$data_sample
+
##    id      name episodes champion  air_start    air_end studio_start studio_end points tasks special TMI
+## 16  9  Series 9       10       49 2019-09-04 2019-11-06   2019-07-18 2019-07-24    766    51       0  10
+## 22 15 Series 15       10      102 2023-03-30 2023-06-01   2022-09-22 2022-09-28    765    50       0  56
+## 5  -3  NYT 2022        1       73 2022-01-01 2022-01-01         <NA>       <NA>     68     5       1  47
+## 12  5  Series 5        8       24 2017-09-13 2017-11-01   2017-07-03 2017-07-06    631    44       0   5
+## 15  8  Series 8       10       45 2019-05-08 2019-07-10   2019-03-21 2019-03-27    749    54       0   9
+## 9   2  Series 2        5       11 2016-06-21 2016-07-19         <NA>       <NA>    417    28       0   2
+## 21 14 Series 14       10       88 2022-09-29 2022-12-01   2022-04-28 2022-05-05    796    52       0  55
+## 6  -2  NYT 2021        1       62 2021-01-01 2021-01-01         <NA>       <NA>     62     5       1  12
+## 4  -4    CoC II        1       87 2022-06-23 2022-06-23   2021-09-15 2021-09-15     66     5       1  46
+## 2  -6  NYT 2024        0       NA 2024-01-01 2024-01-01   2023-11-27 2023-11-27     NA    NA       1  87
+
+
+ +See series Summary! + +
data_sample_list[["series"]]$data_summary
+
## query_output 
+## 
+##  12  Variables      23  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       23        0       23        1    4.696    8.443     -5.9     -4.8     -1.5      5.0     10.5     13.8     14.9 
+## 
+## lowest : -7 -6 -5 -4 -3, highest: 12 13 14 15 16
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## name 
+##        n  missing distinct 
+##       23        0       23 
+## 
+## lowest : CoC      CoC II   CoC III  NYT 2021 NYT 2022, highest: Series 5 Series 6 Series 7 Series 8 Series 9
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episodes 
+##        n  missing distinct     Info     Mean      Gmd 
+##       23        0        7    0.885    6.435    4.466 
+##                                                     
+## Value          0     1     2     5     6     8    10
+## Frequency      2     4     1     2     1     2    11
+## Proportion 0.087 0.174 0.043 0.087 0.043 0.087 0.478
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## champion 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       21        2       21        1    55.48    36.91       11       16       29       57       82       96      102 
+## 
+## lowest :   4  11  16  22  24, highest:  87  88  96 102 105
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## air_start 
+##        n  missing distinct 
+##       23        0       23 
+## 
+## lowest : 2015-07-28 2016-06-21 2016-10-04 2017-04-25 2017-09-13, highest: 2023-01-01 2023-03-30 2023-09-21 2024-??-?? 2024-01-01
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## air_end 
+##        n  missing distinct 
+##       23        0       23 
+## 
+## lowest : 2015-09-01 2016-07-19 2016-11-01 2017-06-13 2017-11-01, highest: 2023-01-01 2023-06-01 2023-11-23 2024-??-?? 2024-01-01
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## studio_start 
+##        n  missing distinct 
+##       16        7       16 
+##                                                                                                                                                                                           
+## Value      2015-03-23 2017-07-03 2017-11-20 2018-03-22 2018-07-19 2019-03-21 2019-07-18 2020-07-25 2021-09-15 2021-09-16 2022-04-28 2022-09-22 2022-11-22 2023-05-02 2023-11-27 2023-11-28
+## Frequency           1          1          1          1          1          1          1          1          1          1          1          1          1          1          1          1
+## Proportion      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## studio_end 
+##        n  missing distinct 
+##       16        7       16 
+##                                                                                                                                                                                           
+## Value      2015-03-25 2017-07-06 2017-11-20 2018-03-28 2018-07-25 2019-03-27 2019-07-24 2020-07-29 2021-09-15 2021-09-22 2022-05-05 2022-09-28 2022-11-22 2023-05-12 2023-11-27 2023-11-28
+## Frequency           1          1          1          1          1          1          1          1          1          1          1          1          1          1          1          1
+## Proportion      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## points 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       21        2       21        1    545.2    319.3       66       68      386      721      766      796      816 
+## 
+## lowest :  62  66  68  76 164, highest: 778 795 796 816 837
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## tasks 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       21        2       13    0.984     37.1    21.22        5        5       27       50       51       54       56 
+##                                                                                         
+## Value          5    10    27    28    32    44    46    50    51    52    54    56    57
+## Frequency      4     1     1     1     1     1     1     4     3     1     1     1     1
+## Proportion 0.190 0.048 0.048 0.048 0.048 0.048 0.048 0.190 0.143 0.048 0.048 0.048 0.048
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## special 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##       23        0        2    0.636        7   0.3043   0.4427 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## TMI 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       23        0       23        1    31.04    32.67      2.1      3.2      6.5     12.0     51.5     71.6     85.6 
+## 
+## lowest :  1  2  3  4  5, highest: 56 66 73 87 88
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

series_scores

+

The series_scores table provides (series, contestant information). Namely, this is the score at the end of the series, and their overall rank within the series.

+
+ +See series_scores Sample! + +
data_sample_list[["series_scores"]]$data_sample
+
##      id series contestant score rank
+## 28   28     -1         30    35    3
+## 80   80     13         82   173    1
+## 22   22      5         24   138    1
+## 101 101     16        103   155    2
+## 9     9      2         11    94    1
+## 5     5      1          7    88    4
+## 38   38      7         40   176    1
+## 16   16      4         18   129    4
+## 4     4      1          6    93   2=
+## 86   86     14         88   184    1
+
+
+ +See series_scores Summary! + +
data_sample_list[["series_scores"]]$data_summary
+
## query_output 
+## 
+##  5  Variables      105  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      105        0      105        1       53    35.33      6.2     11.4     27.0     53.0     79.0     94.6     99.8 
+## 
+## lowest :   1   2   3   4   5, highest: 101 102 103 104 105
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      105        0       21    0.998    5.762    7.418       -4       -3        1        6       11       14       15 
+## 
+## lowest : -5 -4 -3 -2 -1, highest: 12 13 14 15 16
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## contestant 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      105        0      105        1       55    35.33      8.2     13.4     29.0     55.0     81.0     96.6    101.8 
+## 
+## lowest :   3   4   5   6   7, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## score 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      105        0       69        1      109    64.45     12.0     14.0     68.0    133.0    157.0    167.6    174.0 
+## 
+## lowest :   6  10  11  12  13, highest: 174 175 176 181 184
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## rank 
+##        n  missing distinct 
+##      105        0        8 
+##                                                           
+## Value          1     2    2=     3    3=     4    4=     5
+## Frequency     21    18     8    16     4    16     4    18
+## Proportion 0.200 0.171 0.076 0.152 0.038 0.152 0.038 0.171
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

special_locations

+

The special_locations table has information for the location based tasks outside of the Taskmaster house. This includes the name and the latitude and longitude co-ordinates (latlong).

+
+ +See special_locations Sample! + +
data_sample_list[["special_locations"]]$data_sample
+
##    id                             name               latlong
+## 28 28                  Wormsley Estate -0.9316485,51.6428272
+## 16 16                 J P S Stationers -0.6131217,51.7036744
+## 26 26   Gatwick Airport South Terminal -0.1631023,51.1557464
+## 22 22 Dukes Meadows Golf, Tennis & Ski -0.2653105,51.4737559
+## 5   5                  Northala Fields -0.3716583,51.5396963
+## 12 12     Chesham United Football Club  -0.613986,51.6988773
+## 15 15        Girl Guiding Headquarters -0.6168708,51.7049596
+## 9   9           Barn Elms Sports Trust -0.2328479,51.4741326
+## 24 24         Chiltern Open Air Museum -0.5422757,51.6358058
+## 6   6                Chesham Town Hall -0.6138502,51.7048446
+
+
+ +See series Summary! + +
data_sample_list[["special_locations"]]$data_summary
+
## query_output 
+## 
+##  3  Variables      28  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       28        0       28        1     14.5    9.667     2.35     3.70     7.75    14.50    21.25    25.30    26.65 
+## 
+## lowest :  1  2  3  4  5, highest: 24 25 26 27 28
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## name 
+##        n  missing distinct 
+##       28        0       28 
+## 
+## lowest : All Saints Pastoral Centre     Barn Elms Sports Trust         Barnes Hockey Club             Barnes Sports Club             Buckinghamshire Railway Centre, highest: Thames Riverbank               The Black Horse Inn            White Waltham Airfield         Woodrow High House             Wormsley Estate               
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## latlong 
+##        n  missing distinct 
+##       28        0       28 
+## 
+## lowest : -0.043288,51.4979182  -0.1631023,51.1557464 -0.2328479,51.4741326 -0.2477399,51.477788  -0.2522033,51.4765784, highest: -0.7557284,51.6302973 -0.7735901,51.4945097 -0.7917774,51.1575941 -0.9280446,51.8644793 -0.9316485,51.6428272
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

task_briefs

+

The task_briefs table, as the name suggests provides the exact brief that was provided to contestants.

+
+ +See task_briefs Sample! + +
data_sample_list[["task_briefs"]]$data_sample
+
##      id task                                                                                                                                                                                                                                                                                                                                                                                       brief
+## 284 284  284                 Dramatically alter your appearance.\nMost dramatic alteration wins.\nYou may start altering your appearance when you are inside the lift and the doors are closed.\nYou must stop altering your appearance when the doors open again.\nYou may inspect the contents of the briefcase for five minutes before the lift doors open for the first time.\nYour time starts now.
+## 101 101  101                                                                                                                                                                                                                                       Paint the best picture of the Taskmaster.\nOnly the paint and brush may touch the mat, easel and canvas.\nYou have 10 minutes.\nYour time starts now.
+## 623 623  623                                                                                                                    Answer Alex's phone call.\nIf you find a cuddly toy, you must carry it with you until you answer Alex's phone call.\nAlso, you must be making a noise over 50 decibels for at least 50% of the time until you answer Alex's phone.\nFastest wins.\nYour time starts now.
+## 645 645  645                                                       Poke a part of your body out of the shower curtain and waggle it about for 10 seconds.\nThe Taskmaster will guess what part of the body it is.\nThe biggest part of the body that the Taskmaster incorrectly identifies wins.\nYou must poke your body part out of the shower curtain and waggle it about within the next 15 minutes.
+## 400 400  400                                                                                                                                                                                                                                                                                                                                                            Bring in the best defunct thing.
+## 98   98   98                                   Make the most juice.\nYou must pick one fruit and one tool.\nIf you pick the same tool as someone else, you must juice blindfolded.\nIf you pick the same fruit as someone else, you must juice one-handed.\nIf you pick the same fruit and tool as someone else, you must juice blindfolded, one-handed, and bouncing up and down.\nYou have one minute.
+## 103 103  103                                                                      Without touching the egg or the eggcup, get the egg into the eggcup.\nYou may only use the equipment currently on the table.\nIf you touch a piece of equipment that another contestant touches, you will both receive a one minute time penalty per piece of equipment touched.\nFastest wins.\nYour time starts now.
+## 726 726  726                                                                                                                                                                                                                                                                                                                                                             Bring in the most heroic thing.
+## 602 602  602 Count to 13 as a group, each player taking it in turns to say a number.\nEvery time you say an odd number, you must also squat.\nEvery time you say an even number, you must also jump.\nIf you make a mistake, you are out.\nIf you reach 13, or someone is eliminated, other rules will be introduced.\nIf the Taskmaster thinks you have hesitated for too long, you will be eliminated.
+## 326 326  326                                      Alex is on the bridge in the distance with lights on his head.\nGet as close as you can to Alex without him noticing you.\nAlex will duck down the wall for 10 seconds, then pop up for 10 seconds, then duck down for 10 seconds and so on until he notices you.\nThe task starts when Alex first ducks down behind the wall, in one minute from now.
+
+
+ +See task_briefs Summary! + +
data_sample_list[["task_briefs"]]$data_summary
+
## query_output 
+## 
+##  3  Variables      819  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      819        0      819        1      410    273.3     41.9     82.8    205.5    410.0    614.5    737.2    778.1 
+## 
+## lowest :   1   2   3   4   5, highest: 815 816 817 818 819
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      819        0      819        1      410    273.3     41.9     82.8    205.5    410.0    614.5    737.2    778.1 
+## 
+## lowest :   1   2   3   4   5, highest: 815 816 817 818 819
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## brief 
+##        n  missing distinct 
+##      819        0      819 
+## 
+## lowest : Accurately and emotionally recreate a great moment from history using these two traffic cones.
+## Most accurate and emotional recreation wins.
+## You've got 30 minutes.
+## Your time starts now.                                                                                                                                                                Achieve a rally of exactly 24 shots.
+## You much each take the same amount of shots.
+## You must be stood at least 6’8” apart from one another.
+## The object stuck must neither touch the ground nor be held at any point during the rally.
+## There is a bonus point for the team which uses the most ambitious equipment.
+## Fastest wins.
+## Your time starts now. Achieve the greatest splat.
+## One teammate must be splatted for the splat to be valid.
+## You have 10 minutes to choose your splatting materials, and then 10 minutes to pull off your splat.
+## Your time starts now.                                                                                                                                          Achieve the most impressive effect with a single breath.
+## You must take your breath and achieve your effect within the next 20 minutes.                                                                                                                                                                                                                    Act out the nursery rhymes for the Taskmaster to guess.
+## Each team has three minutes to act out their nursery rhymes.
+## Most nursery rhymes guessed by the taskmaster wins.
+## You must remain silent and on your spots throughout.                                                                                                                          
+## highest: Write the name of a different animal on each face of your dice.
+## You have 100 seconds.                                                                                                                                                                                                                                                                     Write the name of a profession in this hole then open the task.
+## 
+## Perform an original lullaby for [your profession].
+## Most soporific profession-specific lullaby wins.
+## You have 30 minutes.
+## Your time starts now.                                                                                                                                       Write your name and draw a picture of a happy horse on your overhead projector acetate, upside-down.
+## You must not rotate or manipulate your acetate.
+## You have 100 seconds.
+## Most accurate picture and writing when your acetate is overhead projected wins.                                                                                              Write, illustrate and read out a bedtime story for grown-ups.
+## Your bedtime story for grown-ups may be no more or fewer than 50 words.
+## Most engrossing bedtime story for grown-ups wins.
+## You have one hour.
+## Your time starts now.                                                                                                                       You will each be given a category.
+## You each have 10 seconds to say things that fall into that category.
+## First, you must each predict how many correct answers you will give.
+## The person who has successfully predicted the highest number wins.                                                                                                        
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

task_readers

+

The task_readers table contains information on which contestant (reader) read a particular task, whether the task was a team task, and if the task was live or not.

+

Note, that a task can have multiple readers associated with it as it is common for multiple readers to be edited together in a show.

+
+ +See task_readers Sample! + +
data_sample_list[["task_readers"]]$data_sample
+
##      id task reader team live
+## 284 284  785    103    1    0
+## 101 101  315     40    1    0
+## 111 111  343     47    1    0
+## 133 133  388     50    0    1
+## 98   98  303     39    1    0
+## 103 103  316     39    0    1
+## 214 214  615     80    1    0
+## 90   90  286     38    0    1
+## 79   79  252     33    0    1
+## 270 270  755     98    1    1
+
+
+ +See task_readers Summary! + +
data_sample_list[["task_readers"]]$data_summary
+
## query_output 
+## 
+##  5  Variables      300  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      300        0      300        1    150.5    100.3    15.95    30.90    75.75   150.50   225.25   270.10   285.05 
+## 
+## lowest :   1   2   3   4   5, highest: 296 297 298 299 300
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      300        0      218        1    435.6    272.5    58.75    91.00   238.00   437.50   650.00   755.20   785.10 
+## 
+## lowest :   5  11  17  23  26, highest: 806 809 814 818 819
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## reader 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      300        0       86        1    55.08    36.19     4.00    12.00    33.75    51.00    82.00   101.10   104.05 
+## 
+## lowest :   1   3   4   5   6, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## team 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##      300        0        2    0.746      161   0.5367    0.499 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## live 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##      300        0        2    0.749      155   0.5167   0.5011 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

task_winners

+

The task_winners table naturally has all the information about the contestant(s) who won the task (winner), whether it was a team task, and if it was a live task or not.

+
+ +See task_winners Sample! + +
data_sample_list[["task_winners"]]$data_sample
+
##        id task winner team live
+## 1018 1018  805    106    0    0
+## 1004 1004  796    103    1    0
+## 623   623  511     64    0    0
+## 905   905  723     99    1    0
+## 645   645  527     66    0    0
+## 934   934  747     99    0    0
+## 400   400  335     47    0    0
+## 900   900  721    101    0    0
+## 98     98   86     13    1    0
+## 726   726  590     72    1    0
+
+
+ +See task_winners Summary! + +
data_sample_list[["task_winners"]]$data_summary
+
## query_output 
+## 
+##  5  Variables      1036  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     1036        0     1036        1    518.5    345.7    52.75   104.50   259.75   518.50   777.25   932.50   984.25 
+## 
+## lowest :    1    2    3    4    5, highest: 1032 1033 1034 1035 1036
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     1036        0      795        1    423.4    272.9    45.75    91.00   226.00   424.50   633.25   745.50   780.25 
+## 
+## lowest :   1   2   3   4   5, highest: 815 816 817 818 819
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## winner 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     1036        0       99        1     55.8     34.2       10       16       34       52       80      101      104 
+## 
+## lowest :   3   4   5   6   7, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## team 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##     1036        0        2    0.546      248   0.2394   0.3645 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## live 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##     1036        0        2     0.48      207   0.1998   0.3201 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

tasks

+

The tasks table has high level data about tasks that is mostly independent of the contestants and the outcome. This includes the series and episode that the task featured in, the main summary of the task. Categorisation of the task is also available such as whether it is a subjective or objective task, if it is TM UK original, if it was filmed or live.

+
    +
  • The location field in this table is not limited to the special_locations but also the whereabouts in the TM house, and the studio.
  • +
  • The points field highlights the total number of points distributed to contestants by the Taskmaster.
  • +
  • std is a flag to denote whether the task was standard (one having 5 judged attempts)
  • +
  • YT is a YouTube link to the corresponding episode and timestamp of that particular task.
  • +
+
+ +See tasks Sample! + +
data_sample_list[["tasks"]]$data_sample
+
##      id series episode                                                         summary                                                                                             tags           location points std  TMI               YT
+## 284 284      7      48                                Change your appearance in a lift                   ["solo","filmed","creative","physical","subjective","single-brief","original"]                 17     15   1  284 M0ZbPzHUiAo|1050
+## 101 101      4      18 Paint a portrait of the Taskmaster without touching the red mat ["solo","filmed","creative","mental","physical","subjective","single-brief","original","handly"]           doorstep     14   1  101  FM73_GZGDbA|832
+## 623 623     13     111                                        Answer Alex's phone call                      ["solo","filmed","mental","physical","objective","single-brief","original"]             lounge     15   1 1947 UOasWQl-Tww|1813
+## 645 645     13     115                      Poke a body part out of the shower curtain                    ["solo","filmed","creative","physical","objective","single-brief","original"] behind the caravan     14   1 2001 bPZ47tW4dOQ|1705
+## 400 400      9      69                                          The best defunct thing                               ["solo","prize","creative","subjective","single-brief","original"]              seats     15   1  401  G_0_mIgC-fw|164
+## 98   98      4      17                                       Make the most fruit juice                                 ["solo","live","physical","objective","single-brief","original"]              stage     15   1   98 DpV3rweizNA|2322
+## 103 103      4      18                Put an egg in an egg cup without touching either                      ["solo","filmed","mental","physical","objective","single-brief","original"]                lab     15   1  103 FM73_GZGDbA|1835
+## 726 726     15     131                                           The most heroic thing                               ["solo","prize","creative","subjective","single-brief","original"]              seats     15   1 2507  7-cPcNMEehU|168
+## 602 602     13     107                                                     Count to 13                                   ["solo","live","mental","objective","single-brief","original"]              stage     15   1 1871 Tv_q0RMaV6Y|2416
+## 326 326      8      55                                                Sneak up on Alex                      ["solo","filmed","physical","social","objective","single-brief","original"]                 18     16   1  327 39n5LJel7qk|1708
+
+
+ +See tasks Summary! + +
data_sample_list[["tasks"]]$data_summary
+
## query_output 
+## 
+##  10  Variables      819  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      819        0      819        1      410    273.3     41.9     82.8    205.5    410.0    614.5    737.2    778.1 
+## 
+## lowest :   1   2   3   4   5, highest: 815 816 817 818 819
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      819        0       21    0.996    8.549    5.522        1        2        5        9       13       15       16 
+## 
+## lowest : -5 -4 -3 -2 -1, highest: 12 13 14 15 16
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episode 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      819        0      148        1    72.18    49.65      7.0     14.8     34.5     71.0    110.0    133.0    141.0 
+## 
+## lowest :   1   2   3   4   5, highest: 144 145 146 147 148
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## summary 
+##        n  missing distinct 
+##      819        0      817 
+## 
+## lowest : A photo of an object that looks like you               Achieve an impressive effect with a single breath      Act out nursery rhymes                                 An upside-down condiment self-portrait                 Anchor balloons using bread                           , highest: Write and perform a 30-second jingle                   Write and perform a song about a stranger              Write and perform lyrics for the Taskmaster theme tune Write down things that fit the category                Zipwire items to the Taskmaster                       
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## tags 
+##        n  missing distinct 
+##      819        0      200 
+## 
+## lowest : ["solo","filmed","creative","combination","single-brief","original","novel-brief"]                             ["solo","filmed","creative","mental","physical","objective","single-brief","adapted"]                          ["solo","filmed","creative","mental","physical","objective","single-brief","original","bonus-points","handly"] ["solo","filmed","creative","mental","physical","objective","single-brief","original","bonus-points"]          ["solo","filmed","creative","mental","physical","objective","single-brief","original"]                        
+## highest: ["team","split","filmed","mental","physical","subjective","single-brief","original"]                           ["team","split","filmed","mental","social","objective","single-brief","original"]                              ["team","split","filmed","physical","social","objective","multiple-brief","original"]                          ["team","split","filmed","physical","social","objective","single-brief","adapted"]                             ["team","split","filmed","physical","social","objective","single-brief","original"]                           
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## location 
+##        n  missing distinct 
+##      819        0       65 
+## 
+## lowest : 1             10            11            12            13           , highest: shed entryway split special stage         studio        unknown      
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## points 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      782       37       28    0.913    14.65    3.681     5.05    10.00    14.00    15.00    16.00    18.00    20.00 
+## 
+## lowest :  0  1  2  3  4, highest: 23 24 25 30 50
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## std 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##      819        0        2    0.139      779   0.9512  0.09302 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## TMI 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      814        5      814        1      926    993.8    41.65    82.30   204.25   408.50  1908.75  2519.70  2725.35 
+## 
+## lowest :    1    2    3    4    5, highest: 2845 2846 2847 2848 2849
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## YT 
+##        n  missing distinct 
+##      819        0      819 
+## 
+## lowest : __fkje7NnP4|1210 __fkje7NnP4|162  __fkje7NnP4|1946 __fkje7NnP4|2478 __fkje7NnP4|408 , highest: ZWmqBUj680A|168  ZWmqBUj680A|1806 ZWmqBUj680A|2351 ZWmqBUj680A|430  ZWmqBUj680A|976 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

tasks_by_objective

+

The tasks_by_objective table provides a high level overview of the task and the objective (the measurement and desired direction to be deemed successful).

+
+ +See tasks_by_objective Sample! + +
data_sample_list[["tasks_by_objective"]]$data_sample
+
##      id task objective
+## 284 284  565        35
+## 336 336  662         1
+## 406 406  787       173
+## 101 101  188        54
+## 111 111  210        60
+## 393 393  768        48
+## 133 133  259        73
+## 400 400  779         2
+## 388 388  758       168
+## 98   98  184        51
+
+
+ +See tasks_by_objective Summary! + +
data_sample_list[["tasks_by_objective"]]$data_summary
+
## query_output 
+## 
+##  3  Variables      425  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      425        0      425        1      213      142     22.2     43.4    107.0    213.0    319.0    382.6    403.8 
+## 
+## lowest :   1   2   3   4   5, highest: 421 422 423 424 425
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      425        0      391        1      418    280.9     37.4     73.8    202.0    439.0    627.0    745.8    781.6 
+## 
+## lowest :   2   4   6   8   9, highest: 809 811 813 814 819
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## objective 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      425        0      179    0.968    48.86    57.95      2.0      2.0      2.0     32.0     91.0    138.6    159.8 
+## 
+## lowest :   1   2   3   4   5, highest: 175 176 177 178 179
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

team_tasks

+

The team_tasks table focuses just on team tasks, the teams involved (team), and whether that particular team won (win).

+
+ +See team_tasks Sample! + +
data_sample_list[["team_tasks"]]$data_sample
+
##      id task team win
+## 28   28  155   10   0
+## 80   80  403   18   1
+## 150 150  670   32   1
+## 101 101  481   21   1
+## 111 111  518   25   1
+## 137 137  615   29   1
+## 133 133  606   29   1
+## 166 166  729   34   0
+## 144 144  650   30   1
+## 132 132  590   28   0
+
+
+ +See team_tasks Summary! + +
data_sample_list[["team_tasks"]]$data_summary
+
## query_output 
+## 
+##  4  Variables      190  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      190        0      190        1     95.5    63.67    10.45    19.90    48.25    95.50   142.75   171.10   180.55 
+## 
+## lowest :   1   2   3   4   5, highest: 186 187 188 189 190
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      190        0       95        1    448.6    261.4     60.8    102.0    277.0    462.0    647.8    748.0    776.1 
+## 
+## lowest :  23  30  35  53  59, highest: 782 785 796 809 818
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## team 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      190        0       36    0.999    20.99     11.6        4        7       13       22       30       34       35 
+## 
+## lowest :  1  2  3  4  5, highest: 32 33 34 35 36
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## win 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##      190        0        2    0.746      102   0.5368   0.4999 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

teams

+

The teams table provides information on teams, regardless of the tasks themselves. The contestants who make up the team members, the size of the team, and whether the team is irregular or not, are also outlined.

+

An irregular team occurs on the rare occasion when the a team for a live task differs to the previous tasks (pre-recorded or live). This namely occurred in Series 9 when someone wanted to the see rage of Ed Gamble, and Series 10’s hippogate.

+
+ +See teams Sample! + +
data_sample_list[["teams"]]$data_sample
+
##    id series                      members size initials irregular
+## 28 28     12     Desiree, Guz and Morgana    3     DG+M         0
+## 16 16      8           Iain, Lou and Paul    3     IL+P         0
+## 22 22     10 Johnny, Katherine and Mawaan    3     JK+M         0
+## 9   9      5                Mark and Nish    2      M+N         0
+## 5   5      3                 Rob and Sara    2      R+S         0
+## 6   6      3            Al, Dave and Paul    3     AD+P         0
+## 35 35     16                Sue and Susan    2      S+S         0
+## 4   4      2       Doc, Joe and Katherine    3     DJ+K         0
+## 2   2      1      Josh, Roisin and Romesh    3     JR+R         0
+## 7   7      4                 Hugh and Mel    2      H+M         0
+
+
+ +See teams Summary! + +
data_sample_list[["teams"]]$data_summary
+
## query_output 
+## 
+##  6  Variables      36  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       36        0       36        1     18.5    12.33     2.75     4.50     9.75    18.50    27.25    32.50    34.25 
+## 
+## lowest :  1  2  3  4  5, highest: 32 33 34 35 36
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       36        0       16    0.996    8.611    5.149     1.75     2.50     5.00     9.00    12.00    14.50    15.25 
+##                                                                                                           
+## Value          1     2     3     4     5     6     7     8     9    10    11    12    13    14    15    16
+## Frequency      2     2     2     2     2     2     2     2     4     4     2     2     2     2     2     2
+## Proportion 0.056 0.056 0.056 0.056 0.056 0.056 0.056 0.056 0.111 0.111 0.056 0.056 0.056 0.056 0.056 0.056
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## members 
+##        n  missing distinct 
+##       36        0       36 
+## 
+## lowest : Aisling, Bob and Sally Al, Dave and Paul      Alan and Victoria      Alice and Russell      Ardal and Chris       , highest: Lee and Mike           Mark and Nish          Munya and Sarah        Rob and Sara           Sue and Susan         
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## size 
+##        n  missing distinct     Info     Mean      Gmd 
+##       36        0        2    0.751      2.5   0.5143 
+##                   
+## Value        2   3
+## Frequency   18  18
+## Proportion 0.5 0.5
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## initials 
+##        n  missing distinct 
+##       36        0       35 
+## 
+## lowest : A+C  A+R  A+V  AB+S AD+P, highest: L+M  M+N  M+S  R+S  S+S 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## irregular 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##       36        0        2    0.297        4   0.1111   0.2032 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

title_coiners

+

The title_coiners table archives all episode titles, who was responsible for the title (coiner, not limited to contestants and is sometimes blank as it could refer to a general vibe), and during which task the title was uttered in.

+
+ +See title_coiners Sample! + +
data_sample_list[["title_coiners"]]$data_sample
+
##      id episode coiner task
+## 28   28      28     24  163
+## 80   80      80     NA  462
+## 101 101     101     72  570
+## 111 111     111     78  624
+## 137 137     137     98  757
+## 133 133     133      2  738
+## 132 132     132    101  733
+## 98   98      98      2  555
+## 103 103     103     70  578
+## 90   90      90      2  514
+
+
+ +See title_coiners Summary! + +
data_sample_list[["title_coiners"]]$data_summary
+
## query_output 
+## 
+##  4  Variables      148  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0      148        1     74.5    49.67     8.35    15.70    37.75    74.50   111.25   133.30   140.65 
+## 
+## lowest :   1   2   3   4   5, highest: 144 145 146 147 148
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episode 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0      148        1     74.5    49.67     8.35    15.70    37.75    74.50   111.25   133.30   140.65 
+## 
+## lowest :   1   2   3   4   5, highest: 144 145 146 147 148
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## coiner 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      142        6       50    0.978    39.76    42.46      1.0      2.0      2.0     34.0     78.0     98.0    102.9 
+## 
+## lowest :   1   2   5   7   9, highest: 102 103 104 105 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0      148        1      423    272.9    48.05    88.80   224.00   431.00   625.25   739.80   777.90 
+## 
+## lowest :   2   9  16  20  31, highest: 797 803 807 812 818
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

title_stats

+

The title_stats table is an insights based table providing various on the statistics on the episode titles, namely the number of words and syllables in the title.

+
+ +See title_stats Sample! + +
data_sample_list[["title_stats"]]$data_sample
+
##      id series episode                     title words syllables
+## 28   28      5       4  Residue around the hoof.     4         7
+## 80   80     10       6             Hippopotamus.     1         5
+## 101 101     12       6       A chair in a sweet.     5         5
+## 111 111     13       5  Having a little chuckle.     4         7
+## 137 137     15       9    A show about pedantry.     4         7
+## 133 133     15       5             Old Honkfoot.     2         3
+## 132 132     15       4   How heavy is the water?     5         7
+## 98   98     12       3 The end of the franchise.     5         6
+## 103 103     12       8       A couple of Ethels.     4         6
+## 90   90     11       5            Slap and tong.     3         3
+
+
+ +See title_stats Summary! + +
data_sample_list[["title_stats"]]$data_summary
+
## query_output 
+## 
+##  6  Variables      148  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0      148        1     74.5    49.67     8.35    15.70    37.75    74.50   111.25   133.30   140.65 
+## 
+## lowest :   1   2   3   4   5, highest: 144 145 146 147 148
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0       21    0.996    8.764    5.553        1        2        5        9       13       15       16 
+## 
+## lowest : -5 -4 -3 -2 -1, highest: 12 13 14 15 16
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episode 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0       10    0.989    4.966    3.286        1        1        2        5        7        9       10 
+##                                                                       
+## Value          1     2     3     4     5     6     7     8     9    10
+## Frequency     21    17    16    16    16    14    13    13    11    11
+## Proportion 0.142 0.115 0.108 0.108 0.108 0.095 0.088 0.088 0.074 0.074
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## title 
+##        n  missing distinct 
+##      148        0      148 
+## 
+## lowest : 100% Bosco.              A chair in a sweet.      A coquettish fascinator. A couple of Ethels.      A cuddle.               , highest: Welcome to Rico Face.    What kind of pictures?   Wiley giraffe blower.    You've got no chutzpah.  You tuper super.        
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## words 
+##        n  missing distinct     Info     Mean      Gmd 
+##      148        0        7     0.95    3.338    1.443 
+##                                                     
+## Value          1     2     3     4     5     6     7
+## Frequency     13    26    42    37    26     3     1
+## Proportion 0.088 0.176 0.284 0.250 0.176 0.020 0.007
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## syllables 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0       10    0.968    5.081    2.032        2        3        4        5        6        7        8 
+##                                                                       
+## Value          1     2     3     4     5     6     7     8     9    11
+## Frequency      4     6    16    30    37    24    20     4     5     2
+## Proportion 0.027 0.041 0.108 0.203 0.250 0.162 0.135 0.027 0.034 0.014
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+
+
+
    +
  1. This is definitely the corporate side of me talking. If you’ve ever experienced with dealing with large scale systems with multiple moving parts, limited resources and knowing what hard bottlenecks in your work, you’ll know what I mean.↩︎

  2. +
  3. Honestly, I didn’t know that points had gone misplaced. I should return my card to the TM fan club…↩︎

  4. +
  5. I’m not a big fan of “1=”, etc. being used to denote a tied ranking. It ultimately means the field is no longer an integer and needs additional care to be treated correctly.↩︎

  6. +
  7. I’m very surprised that such a dataset exists, and someone has gone to the effort of dissecting each intro sequence to such a minutiae. Saying that, this is the TM fan base…↩︎

  8. +
+
+ +
+ + + + +
+
+ +
+ + diff --git a/public/2024/07/tdlm-data-dictionary/index_files/crosstalk/css/crosstalk.min.css b/public/2024/07/tdlm-data-dictionary/index_files/crosstalk/css/crosstalk.min.css new file mode 100644 index 0000000..6b45382 --- /dev/null +++ b/public/2024/07/tdlm-data-dictionary/index_files/crosstalk/css/crosstalk.min.css @@ -0,0 +1 @@ +.container-fluid.crosstalk-bscols{margin-left:-30px;margin-right:-30px;white-space:normal}body>.container-fluid.crosstalk-bscols{margin-left:auto;margin-right:auto}.crosstalk-input-checkboxgroup .crosstalk-options-group .crosstalk-options-column{display:inline-block;padding-right:12px;vertical-align:top}@media only screen and (max-width: 480px){.crosstalk-input-checkboxgroup .crosstalk-options-group .crosstalk-options-column{display:block;padding-right:inherit}}.crosstalk-input{margin-bottom:15px}.crosstalk-input .control-label{margin-bottom:0;vertical-align:middle}.crosstalk-input input[type="checkbox"]{margin:4px 0 0;margin-top:1px;line-height:normal}.crosstalk-input .checkbox{position:relative;display:block;margin-top:10px;margin-bottom:10px}.crosstalk-input .checkbox>label{padding-left:20px;margin-bottom:0;font-weight:400;cursor:pointer}.crosstalk-input .checkbox input[type="checkbox"],.crosstalk-input .checkbox-inline input[type="checkbox"]{position:absolute;margin-top:2px;margin-left:-20px}.crosstalk-input .checkbox+.checkbox{margin-top:-5px}.crosstalk-input .checkbox-inline{position:relative;display:inline-block;padding-left:20px;margin-bottom:0;font-weight:400;vertical-align:middle;cursor:pointer}.crosstalk-input .checkbox-inline+.checkbox-inline{margin-top:0;margin-left:10px} diff --git a/public/2024/07/tdlm-data-dictionary/index_files/crosstalk/js/crosstalk.js b/public/2024/07/tdlm-data-dictionary/index_files/crosstalk/js/crosstalk.js new file mode 100644 index 0000000..fd9eb53 --- /dev/null +++ b/public/2024/07/tdlm-data-dictionary/index_files/crosstalk/js/crosstalk.js @@ -0,0 +1,1474 @@ +(function(){function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require=="function"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error("Cannot find module '"+o+"'");throw f.code="MODULE_NOT_FOUND",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require=="function"&&require;for(var o=0;o b) { + return 1; + } +} + +/** + * @private + */ + +var FilterSet = function () { + function FilterSet() { + _classCallCheck(this, FilterSet); + + this.reset(); + } + + _createClass(FilterSet, [{ + key: "reset", + value: function reset() { + // Key: handle ID, Value: array of selected keys, or null + this._handles = {}; + // Key: key string, Value: count of handles that include it + this._keys = {}; + this._value = null; + this._activeHandles = 0; + } + }, { + key: "update", + value: function update(handleId, keys) { + if (keys !== null) { + keys = keys.slice(0); // clone before sorting + keys.sort(naturalComparator); + } + + var _diffSortedLists = (0, _util.diffSortedLists)(this._handles[handleId], keys), + added = _diffSortedLists.added, + removed = _diffSortedLists.removed; + + this._handles[handleId] = keys; + + for (var i = 0; i < added.length; i++) { + this._keys[added[i]] = (this._keys[added[i]] || 0) + 1; + } + for (var _i = 0; _i < removed.length; _i++) { + this._keys[removed[_i]]--; + } + + this._updateValue(keys); + } + + /** + * @param {string[]} keys Sorted array of strings that indicate + * a superset of possible keys. + * @private + */ + + }, { + key: "_updateValue", + value: function _updateValue() { + var keys = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : this._allKeys; + + var handleCount = Object.keys(this._handles).length; + if (handleCount === 0) { + this._value = null; + } else { + this._value = []; + for (var i = 0; i < keys.length; i++) { + var count = this._keys[keys[i]]; + if (count === handleCount) { + this._value.push(keys[i]); + } + } + } + } + }, { + key: "clear", + value: function clear(handleId) { + if (typeof this._handles[handleId] === "undefined") { + return; + } + + var keys = this._handles[handleId]; + if (!keys) { + keys = []; + } + + for (var i = 0; i < keys.length; i++) { + this._keys[keys[i]]--; + } + delete this._handles[handleId]; + + this._updateValue(); + } + }, { + key: "value", + get: function get() { + return this._value; + } + }, { + key: "_allKeys", + get: function get() { + var allKeys = Object.keys(this._keys); + allKeys.sort(naturalComparator); + return allKeys; + } + }]); + + return FilterSet; +}(); + +exports.default = FilterSet; + +},{"./util":11}],4:[function(require,module,exports){ +(function (global){ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); + +var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }(); + +var _typeof = typeof Symbol === "function" && typeof Symbol.iterator === "symbol" ? function (obj) { return typeof obj; } : function (obj) { return obj && typeof Symbol === "function" && obj.constructor === Symbol && obj !== Symbol.prototype ? "symbol" : typeof obj; }; + +exports.default = group; + +var _var2 = require("./var"); + +var _var3 = _interopRequireDefault(_var2); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } + +// Use a global so that multiple copies of crosstalk.js can be loaded and still +// have groups behave as singletons across all copies. +global.__crosstalk_groups = global.__crosstalk_groups || {}; +var groups = global.__crosstalk_groups; + +function group(groupName) { + if (groupName && typeof groupName === "string") { + if (!groups.hasOwnProperty(groupName)) { + groups[groupName] = new Group(groupName); + } + return groups[groupName]; + } else if ((typeof groupName === "undefined" ? "undefined" : _typeof(groupName)) === "object" && groupName._vars && groupName.var) { + // Appears to already be a group object + return groupName; + } else if (Array.isArray(groupName) && groupName.length == 1 && typeof groupName[0] === "string") { + return group(groupName[0]); + } else { + throw new Error("Invalid groupName argument"); + } +} + +var Group = function () { + function Group(name) { + _classCallCheck(this, Group); + + this.name = name; + this._vars = {}; + } + + _createClass(Group, [{ + key: "var", + value: function _var(name) { + if (!name || typeof name !== "string") { + throw new Error("Invalid var name"); + } + + if (!this._vars.hasOwnProperty(name)) this._vars[name] = new _var3.default(this, name); + return this._vars[name]; + } + }, { + key: "has", + value: function has(name) { + if (!name || typeof name !== "string") { + throw new Error("Invalid var name"); + } + + return this._vars.hasOwnProperty(name); + } + }]); + + return Group; +}(); + +}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) + +},{"./var":12}],5:[function(require,module,exports){ +(function (global){ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); + +var _group = require("./group"); + +var _group2 = _interopRequireDefault(_group); + +var _selection = require("./selection"); + +var _filter = require("./filter"); + +var _input = require("./input"); + +require("./input_selectize"); + +require("./input_checkboxgroup"); + +require("./input_slider"); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +var defaultGroup = (0, _group2.default)("default"); + +function var_(name) { + return defaultGroup.var(name); +} + +function has(name) { + return defaultGroup.has(name); +} + +if (global.Shiny) { + global.Shiny.addCustomMessageHandler("update-client-value", function (message) { + if (typeof message.group === "string") { + (0, _group2.default)(message.group).var(message.name).set(message.value); + } else { + var_(message.name).set(message.value); + } + }); +} + +var crosstalk = { + group: _group2.default, + var: var_, + has: has, + SelectionHandle: _selection.SelectionHandle, + FilterHandle: _filter.FilterHandle, + bind: _input.bind +}; + +/** + * @namespace crosstalk + */ +exports.default = crosstalk; + +global.crosstalk = crosstalk; + +}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) + +},{"./filter":2,"./group":4,"./input":6,"./input_checkboxgroup":7,"./input_selectize":8,"./input_slider":9,"./selection":10}],6:[function(require,module,exports){ +(function (global){ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.register = register; +exports.bind = bind; +var $ = global.jQuery; + +var bindings = {}; + +function register(reg) { + bindings[reg.className] = reg; + if (global.document && global.document.readyState !== "complete") { + $(function () { + bind(); + }); + } else if (global.document) { + setTimeout(bind, 100); + } +} + +function bind() { + Object.keys(bindings).forEach(function (className) { + var binding = bindings[className]; + $("." + binding.className).not(".crosstalk-input-bound").each(function (i, el) { + bindInstance(binding, el); + }); + }); +} + +// Escape jQuery identifier +function $escape(val) { + return val.replace(/([!"#$%&'()*+,./:;<=>?@[\\\]^`{|}~])/g, "\\$1"); +} + +function bindEl(el) { + var $el = $(el); + Object.keys(bindings).forEach(function (className) { + if ($el.hasClass(className) && !$el.hasClass("crosstalk-input-bound")) { + var binding = bindings[className]; + bindInstance(binding, el); + } + }); +} + +function bindInstance(binding, el) { + var jsonEl = $(el).find("script[type='application/json'][data-for='" + $escape(el.id) + "']"); + var data = JSON.parse(jsonEl[0].innerText); + + var instance = binding.factory(el, data); + $(el).data("crosstalk-instance", instance); + $(el).addClass("crosstalk-input-bound"); +} + +if (global.Shiny) { + var inputBinding = new global.Shiny.InputBinding(); + var _$ = global.jQuery; + _$.extend(inputBinding, { + find: function find(scope) { + return _$(scope).find(".crosstalk-input"); + }, + initialize: function initialize(el) { + if (!_$(el).hasClass("crosstalk-input-bound")) { + bindEl(el); + } + }, + getId: function getId(el) { + return el.id; + }, + getValue: function getValue(el) {}, + setValue: function setValue(el, value) {}, + receiveMessage: function receiveMessage(el, data) {}, + subscribe: function subscribe(el, callback) { + _$(el).data("crosstalk-instance").resume(); + }, + unsubscribe: function unsubscribe(el) { + _$(el).data("crosstalk-instance").suspend(); + } + }); + global.Shiny.inputBindings.register(inputBinding, "crosstalk.inputBinding"); +} + +}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) + +},{}],7:[function(require,module,exports){ +(function (global){ +"use strict"; + +var _input = require("./input"); + +var input = _interopRequireWildcard(_input); + +var _filter = require("./filter"); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +var $ = global.jQuery; + +input.register({ + className: "crosstalk-input-checkboxgroup", + + factory: function factory(el, data) { + /* + * map: {"groupA": ["keyA", "keyB", ...], ...} + * group: "ct-groupname" + */ + var ctHandle = new _filter.FilterHandle(data.group); + + var lastKnownKeys = void 0; + var $el = $(el); + $el.on("change", "input[type='checkbox']", function () { + var checked = $el.find("input[type='checkbox']:checked"); + if (checked.length === 0) { + lastKnownKeys = null; + ctHandle.clear(); + } else { + var keys = {}; + checked.each(function () { + data.map[this.value].forEach(function (key) { + keys[key] = true; + }); + }); + var keyArray = Object.keys(keys); + keyArray.sort(); + lastKnownKeys = keyArray; + ctHandle.set(keyArray); + } + }); + + return { + suspend: function suspend() { + ctHandle.clear(); + }, + resume: function resume() { + if (lastKnownKeys) ctHandle.set(lastKnownKeys); + } + }; + } +}); + +}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) + +},{"./filter":2,"./input":6}],8:[function(require,module,exports){ +(function (global){ +"use strict"; + +var _input = require("./input"); + +var input = _interopRequireWildcard(_input); + +var _util = require("./util"); + +var util = _interopRequireWildcard(_util); + +var _filter = require("./filter"); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +var $ = global.jQuery; + +input.register({ + className: "crosstalk-input-select", + + factory: function factory(el, data) { + /* + * items: {value: [...], label: [...]} + * map: {"groupA": ["keyA", "keyB", ...], ...} + * group: "ct-groupname" + */ + + var first = [{ value: "", label: "(All)" }]; + var items = util.dataframeToD3(data.items); + var opts = { + options: first.concat(items), + valueField: "value", + labelField: "label", + searchField: "label" + }; + + var select = $(el).find("select")[0]; + + var selectize = $(select).selectize(opts)[0].selectize; + + var ctHandle = new _filter.FilterHandle(data.group); + + var lastKnownKeys = void 0; + selectize.on("change", function () { + if (selectize.items.length === 0) { + lastKnownKeys = null; + ctHandle.clear(); + } else { + var keys = {}; + selectize.items.forEach(function (group) { + data.map[group].forEach(function (key) { + keys[key] = true; + }); + }); + var keyArray = Object.keys(keys); + keyArray.sort(); + lastKnownKeys = keyArray; + ctHandle.set(keyArray); + } + }); + + return { + suspend: function suspend() { + ctHandle.clear(); + }, + resume: function resume() { + if (lastKnownKeys) ctHandle.set(lastKnownKeys); + } + }; + } +}); + +}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) + +},{"./filter":2,"./input":6,"./util":11}],9:[function(require,module,exports){ +(function (global){ +"use strict"; + +var _slicedToArray = function () { function sliceIterator(arr, i) { var _arr = []; var _n = true; var _d = false; var _e = undefined; try { for (var _i = arr[Symbol.iterator](), _s; !(_n = (_s = _i.next()).done); _n = true) { _arr.push(_s.value); if (i && _arr.length === i) break; } } catch (err) { _d = true; _e = err; } finally { try { if (!_n && _i["return"]) _i["return"](); } finally { if (_d) throw _e; } } return _arr; } return function (arr, i) { if (Array.isArray(arr)) { return arr; } else if (Symbol.iterator in Object(arr)) { return sliceIterator(arr, i); } else { throw new TypeError("Invalid attempt to destructure non-iterable instance"); } }; }(); + +var _input = require("./input"); + +var input = _interopRequireWildcard(_input); + +var _filter = require("./filter"); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +var $ = global.jQuery; +var strftime = global.strftime; + +input.register({ + className: "crosstalk-input-slider", + + factory: function factory(el, data) { + /* + * map: {"groupA": ["keyA", "keyB", ...], ...} + * group: "ct-groupname" + */ + var ctHandle = new _filter.FilterHandle(data.group); + + var opts = {}; + var $el = $(el).find("input"); + var dataType = $el.data("data-type"); + var timeFormat = $el.data("time-format"); + var round = $el.data("round"); + var timeFormatter = void 0; + + // Set up formatting functions + if (dataType === "date") { + timeFormatter = strftime.utc(); + opts.prettify = function (num) { + return timeFormatter(timeFormat, new Date(num)); + }; + } else if (dataType === "datetime") { + var timezone = $el.data("timezone"); + if (timezone) timeFormatter = strftime.timezone(timezone);else timeFormatter = strftime; + + opts.prettify = function (num) { + return timeFormatter(timeFormat, new Date(num)); + }; + } else if (dataType === "number") { + if (typeof round !== "undefined") opts.prettify = function (num) { + var factor = Math.pow(10, round); + return Math.round(num * factor) / factor; + }; + } + + $el.ionRangeSlider(opts); + + function getValue() { + var result = $el.data("ionRangeSlider").result; + + // Function for converting numeric value from slider to appropriate type. + var convert = void 0; + var dataType = $el.data("data-type"); + if (dataType === "date") { + convert = function convert(val) { + return formatDateUTC(new Date(+val)); + }; + } else if (dataType === "datetime") { + convert = function convert(val) { + // Convert ms to s + return +val / 1000; + }; + } else { + convert = function convert(val) { + return +val; + }; + } + + if ($el.data("ionRangeSlider").options.type === "double") { + return [convert(result.from), convert(result.to)]; + } else { + return convert(result.from); + } + } + + var lastKnownKeys = null; + + $el.on("change.crosstalkSliderInput", function (event) { + if (!$el.data("updating") && !$el.data("animating")) { + var _getValue = getValue(), + _getValue2 = _slicedToArray(_getValue, 2), + from = _getValue2[0], + to = _getValue2[1]; + + var keys = []; + for (var i = 0; i < data.values.length; i++) { + var val = data.values[i]; + if (val >= from && val <= to) { + keys.push(data.keys[i]); + } + } + keys.sort(); + ctHandle.set(keys); + lastKnownKeys = keys; + } + }); + + // let $el = $(el); + // $el.on("change", "input[type="checkbox"]", function() { + // let checked = $el.find("input[type="checkbox"]:checked"); + // if (checked.length === 0) { + // ctHandle.clear(); + // } else { + // let keys = {}; + // checked.each(function() { + // data.map[this.value].forEach(function(key) { + // keys[key] = true; + // }); + // }); + // let keyArray = Object.keys(keys); + // keyArray.sort(); + // ctHandle.set(keyArray); + // } + // }); + + return { + suspend: function suspend() { + ctHandle.clear(); + }, + resume: function resume() { + if (lastKnownKeys) ctHandle.set(lastKnownKeys); + } + }; + } +}); + +// Convert a number to a string with leading zeros +function padZeros(n, digits) { + var str = n.toString(); + while (str.length < digits) { + str = "0" + str; + }return str; +} + +// Given a Date object, return a string in yyyy-mm-dd format, using the +// UTC date. This may be a day off from the date in the local time zone. +function formatDateUTC(date) { + if (date instanceof Date) { + return date.getUTCFullYear() + "-" + padZeros(date.getUTCMonth() + 1, 2) + "-" + padZeros(date.getUTCDate(), 2); + } else { + return null; + } +} + +}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) + +},{"./filter":2,"./input":6}],10:[function(require,module,exports){ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.SelectionHandle = undefined; + +var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }(); + +var _events = require("./events"); + +var _events2 = _interopRequireDefault(_events); + +var _group = require("./group"); + +var _group2 = _interopRequireDefault(_group); + +var _util = require("./util"); + +var util = _interopRequireWildcard(_util); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } + +/** + * Use this class to read and write (and listen for changes to) the selection + * for a Crosstalk group. This is intended to be used for linked brushing. + * + * If two (or more) `SelectionHandle` instances in the same webpage share the + * same group name, they will share the same state. Setting the selection using + * one `SelectionHandle` instance will result in the `value` property instantly + * changing across the others, and `"change"` event listeners on all instances + * (including the one that initiated the sending) will fire. + * + * @param {string} [group] - The name of the Crosstalk group, or if none, + * null or undefined (or any other falsy value). This can be changed later + * via the [SelectionHandle#setGroup](#setGroup) method. + * @param {Object} [extraInfo] - An object whose properties will be copied to + * the event object whenever an event is emitted. + */ +var SelectionHandle = exports.SelectionHandle = function () { + function SelectionHandle() { + var group = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : null; + var extraInfo = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : null; + + _classCallCheck(this, SelectionHandle); + + this._eventRelay = new _events2.default(); + this._emitter = new util.SubscriptionTracker(this._eventRelay); + + // Name of the group we're currently tracking, if any. Can change over time. + this._group = null; + // The Var we're currently tracking, if any. Can change over time. + this._var = null; + // The event handler subscription we currently have on var.on("change"). + this._varOnChangeSub = null; + + this._extraInfo = util.extend({ sender: this }, extraInfo); + + this.setGroup(group); + } + + /** + * Changes the Crosstalk group membership of this SelectionHandle. The group + * being switched away from (if any) will not have its selection value + * modified as a result of calling `setGroup`, even if this handle was the + * most recent handle to set the selection of the group. + * + * The group being switched to (if any) will also not have its selection value + * modified as a result of calling `setGroup`. If you want to set the + * selection value of the new group, call `set` explicitly. + * + * @param {string} group - The name of the Crosstalk group, or null (or + * undefined) to clear the group. + */ + + + _createClass(SelectionHandle, [{ + key: "setGroup", + value: function setGroup(group) { + var _this = this; + + // If group is unchanged, do nothing + if (this._group === group) return; + // Treat null, undefined, and other falsy values the same + if (!this._group && !group) return; + + if (this._var) { + this._var.off("change", this._varOnChangeSub); + this._var = null; + this._varOnChangeSub = null; + } + + this._group = group; + + if (group) { + this._var = (0, _group2.default)(group).var("selection"); + var sub = this._var.on("change", function (e) { + _this._eventRelay.trigger("change", e, _this); + }); + this._varOnChangeSub = sub; + } + } + + /** + * Retrieves the current selection for the group represented by this + * `SelectionHandle`. + * + * - If no selection is active, then this value will be falsy. + * - If a selection is active, but no data points are selected, then this + * value will be an empty array. + * - If a selection is active, and data points are selected, then the keys + * of the selected data points will be present in the array. + */ + + }, { + key: "_mergeExtraInfo", + + + /** + * Combines the given `extraInfo` (if any) with the handle's default + * `_extraInfo` (if any). + * @private + */ + value: function _mergeExtraInfo(extraInfo) { + // Important incidental effect: shallow clone is returned + return util.extend({}, this._extraInfo ? this._extraInfo : null, extraInfo ? extraInfo : null); + } + + /** + * Overwrites the current selection for the group, and raises the `"change"` + * event among all of the group's '`SelectionHandle` instances (including + * this one). + * + * @fires SelectionHandle#change + * @param {string[]} selectedKeys - Falsy, empty array, or array of keys (see + * {@link SelectionHandle#value}). + * @param {Object} [extraInfo] - Extra properties to be included on the event + * object that's passed to listeners (in addition to any options that were + * passed into the `SelectionHandle` constructor). + */ + + }, { + key: "set", + value: function set(selectedKeys, extraInfo) { + if (this._var) this._var.set(selectedKeys, this._mergeExtraInfo(extraInfo)); + } + + /** + * Overwrites the current selection for the group, and raises the `"change"` + * event among all of the group's '`SelectionHandle` instances (including + * this one). + * + * @fires SelectionHandle#change + * @param {Object} [extraInfo] - Extra properties to be included on the event + * object that's passed to listeners (in addition to any that were passed + * into the `SelectionHandle` constructor). + */ + + }, { + key: "clear", + value: function clear(extraInfo) { + if (this._var) this.set(void 0, this._mergeExtraInfo(extraInfo)); + } + + /** + * Subscribes to events on this `SelectionHandle`. + * + * @param {string} eventType - Indicates the type of events to listen to. + * Currently, only `"change"` is supported. + * @param {SelectionHandle~listener} listener - The callback function that + * will be invoked when the event occurs. + * @return {string} - A token to pass to {@link SelectionHandle#off} to cancel + * this subscription. + */ + + }, { + key: "on", + value: function on(eventType, listener) { + return this._emitter.on(eventType, listener); + } + + /** + * Cancels event subscriptions created by {@link SelectionHandle#on}. + * + * @param {string} eventType - The type of event to unsubscribe. + * @param {string|SelectionHandle~listener} listener - Either the callback + * function previously passed into {@link SelectionHandle#on}, or the + * string that was returned from {@link SelectionHandle#on}. + */ + + }, { + key: "off", + value: function off(eventType, listener) { + return this._emitter.off(eventType, listener); + } + + /** + * Shuts down the `SelectionHandle` object. + * + * Removes all event listeners that were added through this handle. + */ + + }, { + key: "close", + value: function close() { + this._emitter.removeAllListeners(); + this.setGroup(null); + } + }, { + key: "value", + get: function get() { + return this._var ? this._var.get() : null; + } + }]); + + return SelectionHandle; +}(); + +/** + * @callback SelectionHandle~listener + * @param {Object} event - An object containing details of the event. For + * `"change"` events, this includes the properties `value` (the new + * value of the selection, or `undefined` if no selection is active), + * `oldValue` (the previous value of the selection), and `sender` (the + * `SelectionHandle` instance that made the change). + */ + +/** + * @event SelectionHandle#change + * @type {object} + * @property {object} value - The new value of the selection, or `undefined` + * if no selection is active. + * @property {object} oldValue - The previous value of the selection. + * @property {SelectionHandle} sender - The `SelectionHandle` instance that + * changed the value. + */ + +},{"./events":1,"./group":4,"./util":11}],11:[function(require,module,exports){ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); + +var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }(); + +var _typeof = typeof Symbol === "function" && typeof Symbol.iterator === "symbol" ? function (obj) { return typeof obj; } : function (obj) { return obj && typeof Symbol === "function" && obj.constructor === Symbol && obj !== Symbol.prototype ? "symbol" : typeof obj; }; + +exports.extend = extend; +exports.checkSorted = checkSorted; +exports.diffSortedLists = diffSortedLists; +exports.dataframeToD3 = dataframeToD3; + +function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } + +function extend(target) { + for (var _len = arguments.length, sources = Array(_len > 1 ? _len - 1 : 0), _key = 1; _key < _len; _key++) { + sources[_key - 1] = arguments[_key]; + } + + for (var i = 0; i < sources.length; i++) { + var src = sources[i]; + if (typeof src === "undefined" || src === null) continue; + + for (var key in src) { + if (src.hasOwnProperty(key)) { + target[key] = src[key]; + } + } + } + return target; +} + +function checkSorted(list) { + for (var i = 1; i < list.length; i++) { + if (list[i] <= list[i - 1]) { + throw new Error("List is not sorted or contains duplicate"); + } + } +} + +function diffSortedLists(a, b) { + var i_a = 0; + var i_b = 0; + + if (!a) a = []; + if (!b) b = []; + + var a_only = []; + var b_only = []; + + checkSorted(a); + checkSorted(b); + + while (i_a < a.length && i_b < b.length) { + if (a[i_a] === b[i_b]) { + i_a++; + i_b++; + } else if (a[i_a] < b[i_b]) { + a_only.push(a[i_a++]); + } else { + b_only.push(b[i_b++]); + } + } + + if (i_a < a.length) a_only = a_only.concat(a.slice(i_a)); + if (i_b < b.length) b_only = b_only.concat(b.slice(i_b)); + return { + removed: a_only, + added: b_only + }; +} + +// Convert from wide: { colA: [1,2,3], colB: [4,5,6], ... } +// to long: [ {colA: 1, colB: 4}, {colA: 2, colB: 5}, ... ] +function dataframeToD3(df) { + var names = []; + var length = void 0; + for (var name in df) { + if (df.hasOwnProperty(name)) names.push(name); + if (_typeof(df[name]) !== "object" || typeof df[name].length === "undefined") { + throw new Error("All fields must be arrays"); + } else if (typeof length !== "undefined" && length !== df[name].length) { + throw new Error("All fields must be arrays of the same length"); + } + length = df[name].length; + } + var results = []; + var item = void 0; + for (var row = 0; row < length; row++) { + item = {}; + for (var col = 0; col < names.length; col++) { + item[names[col]] = df[names[col]][row]; + } + results.push(item); + } + return results; +} + +/** + * Keeps track of all event listener additions/removals and lets all active + * listeners be removed with a single operation. + * + * @private + */ + +var SubscriptionTracker = exports.SubscriptionTracker = function () { + function SubscriptionTracker(emitter) { + _classCallCheck(this, SubscriptionTracker); + + this._emitter = emitter; + this._subs = {}; + } + + _createClass(SubscriptionTracker, [{ + key: "on", + value: function on(eventType, listener) { + var sub = this._emitter.on(eventType, listener); + this._subs[sub] = eventType; + return sub; + } + }, { + key: "off", + value: function off(eventType, listener) { + var sub = this._emitter.off(eventType, listener); + if (sub) { + delete this._subs[sub]; + } + return sub; + } + }, { + key: "removeAllListeners", + value: function removeAllListeners() { + var _this = this; + + var current_subs = this._subs; + this._subs = {}; + Object.keys(current_subs).forEach(function (sub) { + _this._emitter.off(current_subs[sub], sub); + }); + } + }]); + + return SubscriptionTracker; +}(); + +},{}],12:[function(require,module,exports){ +(function (global){ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); + +var _typeof = typeof Symbol === "function" && typeof Symbol.iterator === "symbol" ? function (obj) { return typeof obj; } : function (obj) { return obj && typeof Symbol === "function" && obj.constructor === Symbol && obj !== Symbol.prototype ? "symbol" : typeof obj; }; + +var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }(); + +var _events = require("./events"); + +var _events2 = _interopRequireDefault(_events); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } + +var Var = function () { + function Var(group, name, /*optional*/value) { + _classCallCheck(this, Var); + + this._group = group; + this._name = name; + this._value = value; + this._events = new _events2.default(); + } + + _createClass(Var, [{ + key: "get", + value: function get() { + return this._value; + } + }, { + key: "set", + value: function set(value, /*optional*/event) { + if (this._value === value) { + // Do nothing; the value hasn't changed + return; + } + var oldValue = this._value; + this._value = value; + // Alert JavaScript listeners that the value has changed + var evt = {}; + if (event && (typeof event === "undefined" ? "undefined" : _typeof(event)) === "object") { + for (var k in event) { + if (event.hasOwnProperty(k)) evt[k] = event[k]; + } + } + evt.oldValue = oldValue; + evt.value = value; + this._events.trigger("change", evt, this); + + // TODO: Make this extensible, to let arbitrary back-ends know that + // something has changed + if (global.Shiny && global.Shiny.onInputChange) { + global.Shiny.onInputChange(".clientValue-" + (this._group.name !== null ? this._group.name + "-" : "") + this._name, typeof value === "undefined" ? null : value); + } + } + }, { + key: "on", + value: function on(eventType, listener) { + return this._events.on(eventType, listener); + } + }, { + key: "off", + value: function off(eventType, listener) { + return this._events.off(eventType, listener); + } + }]); + + return Var; +}(); + +exports.default = Var; + +}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) + +},{"./events":1}]},{},[5]) +//# sourceMappingURL=crosstalk.js.map diff --git a/public/2024/07/tdlm-data-dictionary/index_files/crosstalk/js/crosstalk.js.map b/public/2024/07/tdlm-data-dictionary/index_files/crosstalk/js/crosstalk.js.map new file mode 100644 index 0000000..cff94f0 --- /dev/null +++ b/public/2024/07/tdlm-data-dictionary/index_files/crosstalk/js/crosstalk.js.map @@ -0,0 +1,37 @@ +{ + "version": 3, + "sources": [ + "node_modules/browser-pack/_prelude.js", + "javascript/src/events.js", + "javascript/src/filter.js", + "javascript/src/filterset.js", + "javascript/src/group.js", + "javascript/src/index.js", + "javascript/src/input.js", + "javascript/src/input_checkboxgroup.js", + "javascript/src/input_selectize.js", + "javascript/src/input_slider.js", + "javascript/src/selection.js", + "javascript/src/util.js", + "javascript/src/var.js" + ], + "names": [], + "mappings": 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+ "file": "generated.js", + "sourceRoot": "", + "sourcesContent": [ + "(function(){function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require==\"function\"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error(\"Cannot find module '\"+o+\"'\");throw f.code=\"MODULE_NOT_FOUND\",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require==\"function\"&&require;for(var o=0;o {\n this._eventRelay.trigger(\"change\", e, this);\n });\n this._varOnChangeSub = sub;\n }\n }\n\n /**\n * Combine the given `extraInfo` (if any) with the handle's default\n * `_extraInfo` (if any).\n * @private\n */\n _mergeExtraInfo(extraInfo) {\n return util.extend({},\n this._extraInfo ? this._extraInfo : null,\n extraInfo ? extraInfo : null);\n }\n\n /**\n * Close the handle. This clears this handle's contribution to the filter set,\n * and unsubscribes all event listeners.\n */\n close() {\n this._emitter.removeAllListeners();\n this.clear();\n this.setGroup(null);\n }\n\n /**\n * Clear this handle's contribution to the filter set.\n *\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any options that were\n * passed into the `FilterHandle` constructor).\n * \n * @fires FilterHandle#change\n */\n clear(extraInfo) {\n if (!this._filterSet)\n return;\n this._filterSet.clear(this._id);\n this._onChange(extraInfo);\n }\n\n /**\n * Set this handle's contribution to the filter set. This array should consist\n * of the keys of the rows that _should_ be displayed; any keys that are not\n * present in the array will be considered _filtered out_. Note that multiple\n * `FilterHandle` instances in the group may each contribute an array of keys,\n * and only those keys that appear in _all_ of the arrays make it through the\n * filter.\n *\n * @param {string[]} keys - Empty array, or array of keys. To clear the\n * filter, don't pass an empty array; instead, use the\n * {@link FilterHandle#clear} method.\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any options that were\n * passed into the `FilterHandle` constructor).\n * \n * @fires FilterHandle#change\n */\n set(keys, extraInfo) {\n if (!this._filterSet)\n return;\n this._filterSet.update(this._id, keys);\n this._onChange(extraInfo);\n }\n\n /**\n * @return {string[]|null} - Either: 1) an array of keys that made it through\n * all of the `FilterHandle` instances, or, 2) `null`, which means no filter\n * is being applied (all data should be displayed).\n */\n get filteredKeys() {\n return this._filterSet ? this._filterSet.value : null;\n }\n\n /**\n * Subscribe to events on this `FilterHandle`.\n *\n * @param {string} eventType - Indicates the type of events to listen to.\n * Currently, only `\"change\"` is supported.\n * @param {FilterHandle~listener} listener - The callback function that\n * will be invoked when the event occurs.\n * @return {string} - A token to pass to {@link FilterHandle#off} to cancel\n * this subscription.\n */\n on(eventType, listener) {\n return this._emitter.on(eventType, listener);\n }\n\n /**\n * Cancel event subscriptions created by {@link FilterHandle#on}.\n *\n * @param {string} eventType - The type of event to unsubscribe.\n * @param {string|FilterHandle~listener} listener - Either the callback\n * function previously passed into {@link FilterHandle#on}, or the\n * string that was returned from {@link FilterHandle#on}.\n */\n off(eventType, listener) {\n return this._emitter.off(eventType, listener);\n }\n\n _onChange(extraInfo) {\n if (!this._filterSet)\n return;\n this._filterVar.set(this._filterSet.value, this._mergeExtraInfo(extraInfo));\n }\n\n /**\n * @callback FilterHandle~listener\n * @param {Object} event - An object containing details of the event. For\n * `\"change\"` events, this includes the properties `value` (the new\n * value of the filter set, or `null` if no filter set is active),\n * `oldValue` (the previous value of the filter set), and `sender` (the\n * `FilterHandle` instance that made the change).\n */\n\n}\n\n/**\n * @event FilterHandle#change\n * @type {object}\n * @property {object} value - The new value of the filter set, or `null`\n * if no filter set is active.\n * @property {object} oldValue - The previous value of the filter set.\n * @property {FilterHandle} sender - The `FilterHandle` instance that\n * changed the value.\n */\n", + "import { diffSortedLists } from \"./util\";\n\nfunction naturalComparator(a, b) {\n if (a === b) {\n return 0;\n } else if (a < b) {\n return -1;\n } else if (a > b) {\n return 1;\n }\n}\n\n/**\n * @private\n */\nexport default class FilterSet {\n constructor() {\n this.reset();\n }\n\n reset() {\n // Key: handle ID, Value: array of selected keys, or null\n this._handles = {};\n // Key: key string, Value: count of handles that include it\n this._keys = {};\n this._value = null;\n this._activeHandles = 0;\n }\n\n get value() {\n return this._value;\n }\n\n update(handleId, keys) {\n if (keys !== null) {\n keys = keys.slice(0); // clone before sorting\n keys.sort(naturalComparator);\n }\n\n let {added, removed} = diffSortedLists(this._handles[handleId], keys);\n this._handles[handleId] = keys;\n\n for (let i = 0; i < added.length; i++) {\n this._keys[added[i]] = (this._keys[added[i]] || 0) + 1;\n }\n for (let i = 0; i < removed.length; i++) {\n this._keys[removed[i]]--;\n }\n\n this._updateValue(keys);\n }\n\n /**\n * @param {string[]} keys Sorted array of strings that indicate\n * a superset of possible keys.\n * @private\n */\n _updateValue(keys = this._allKeys) {\n let handleCount = Object.keys(this._handles).length;\n if (handleCount === 0) {\n this._value = null;\n } else {\n this._value = [];\n for (let i = 0; i < keys.length; i++) {\n let count = this._keys[keys[i]];\n if (count === handleCount) {\n this._value.push(keys[i]);\n }\n }\n }\n }\n\n clear(handleId) {\n if (typeof(this._handles[handleId]) === \"undefined\") {\n return;\n }\n\n let keys = this._handles[handleId];\n if (!keys) {\n keys = [];\n }\n\n for (let i = 0; i < keys.length; i++) {\n this._keys[keys[i]]--;\n }\n delete this._handles[handleId];\n\n this._updateValue();\n }\n\n get _allKeys() {\n let allKeys = Object.keys(this._keys);\n allKeys.sort(naturalComparator);\n return allKeys;\n }\n}\n", + "import Var from \"./var\";\n\n// Use a global so that multiple copies of crosstalk.js can be loaded and still\n// have groups behave as singletons across all copies.\nglobal.__crosstalk_groups = global.__crosstalk_groups || {};\nlet groups = global.__crosstalk_groups;\n\nexport default function group(groupName) {\n if (groupName && typeof(groupName) === \"string\") {\n if (!groups.hasOwnProperty(groupName)) {\n groups[groupName] = new Group(groupName);\n }\n return groups[groupName];\n } else if (typeof(groupName) === \"object\" && groupName._vars && groupName.var) {\n // Appears to already be a group object\n return groupName;\n } else if (Array.isArray(groupName) &&\n groupName.length == 1 &&\n typeof(groupName[0]) === \"string\") {\n return group(groupName[0]);\n } else {\n throw new Error(\"Invalid groupName argument\");\n }\n}\n\nclass Group {\n constructor(name) {\n this.name = name;\n this._vars = {};\n }\n\n var(name) {\n if (!name || typeof(name) !== \"string\") {\n throw new Error(\"Invalid var name\");\n }\n\n if (!this._vars.hasOwnProperty(name))\n this._vars[name] = new Var(this, name);\n return this._vars[name];\n }\n\n has(name) {\n if (!name || typeof(name) !== \"string\") {\n throw new Error(\"Invalid var name\");\n }\n\n return this._vars.hasOwnProperty(name);\n }\n}\n", + "import group from \"./group\";\nimport { SelectionHandle } from \"./selection\";\nimport { FilterHandle } from \"./filter\";\nimport { bind } from \"./input\";\nimport \"./input_selectize\";\nimport \"./input_checkboxgroup\";\nimport \"./input_slider\";\n\nconst defaultGroup = group(\"default\");\n\nfunction var_(name) {\n return defaultGroup.var(name);\n}\n\nfunction has(name) {\n return defaultGroup.has(name);\n}\n\nif (global.Shiny) {\n global.Shiny.addCustomMessageHandler(\"update-client-value\", function(message) {\n if (typeof(message.group) === \"string\") {\n group(message.group).var(message.name).set(message.value);\n } else {\n var_(message.name).set(message.value);\n }\n });\n}\n\nconst crosstalk = {\n group: group,\n var: var_,\n has: has,\n SelectionHandle: SelectionHandle,\n FilterHandle: FilterHandle,\n bind: bind\n};\n\n/**\n * @namespace crosstalk\n */\nexport default crosstalk;\nglobal.crosstalk = crosstalk;\n", + "let $ = global.jQuery;\n\nlet bindings = {};\n\nexport function register(reg) {\n bindings[reg.className] = reg;\n if (global.document && global.document.readyState !== \"complete\") {\n $(() => {\n bind();\n });\n } else if (global.document) {\n setTimeout(bind, 100);\n }\n}\n\nexport function bind() {\n Object.keys(bindings).forEach(function(className) {\n let binding = bindings[className];\n $(\".\" + binding.className).not(\".crosstalk-input-bound\").each(function(i, el) {\n bindInstance(binding, el);\n });\n });\n}\n\n// Escape jQuery identifier\nfunction $escape(val) {\n return val.replace(/([!\"#$%&'()*+,./:;<=>?@[\\\\\\]^`{|}~])/g, \"\\\\$1\");\n}\n\nfunction bindEl(el) {\n let $el = $(el);\n Object.keys(bindings).forEach(function(className) {\n if ($el.hasClass(className) && !$el.hasClass(\"crosstalk-input-bound\")) {\n let binding = bindings[className];\n bindInstance(binding, el);\n }\n });\n}\n\nfunction bindInstance(binding, el) {\n let jsonEl = $(el).find(\"script[type='application/json'][data-for='\" + $escape(el.id) + \"']\");\n let data = JSON.parse(jsonEl[0].innerText);\n\n let instance = binding.factory(el, data);\n $(el).data(\"crosstalk-instance\", instance);\n $(el).addClass(\"crosstalk-input-bound\");\n}\n\nif (global.Shiny) {\n let inputBinding = new global.Shiny.InputBinding();\n let $ = global.jQuery;\n $.extend(inputBinding, {\n find: function(scope) {\n return $(scope).find(\".crosstalk-input\");\n },\n initialize: function(el) {\n if (!$(el).hasClass(\"crosstalk-input-bound\")) {\n bindEl(el);\n }\n },\n getId: function(el) {\n return el.id;\n },\n getValue: function(el) {\n\n },\n setValue: function(el, value) {\n\n },\n receiveMessage: function(el, data) {\n\n },\n subscribe: function(el, callback) {\n $(el).data(\"crosstalk-instance\").resume();\n },\n unsubscribe: function(el) {\n $(el).data(\"crosstalk-instance\").suspend();\n }\n });\n global.Shiny.inputBindings.register(inputBinding, \"crosstalk.inputBinding\");\n}\n", + "import * as input from \"./input\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\n\ninput.register({\n className: \"crosstalk-input-checkboxgroup\",\n\n factory: function(el, data) {\n /*\n * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n * group: \"ct-groupname\"\n */\n let ctHandle = new FilterHandle(data.group);\n\n let lastKnownKeys;\n let $el = $(el);\n $el.on(\"change\", \"input[type='checkbox']\", function() {\n let checked = $el.find(\"input[type='checkbox']:checked\");\n if (checked.length === 0) {\n lastKnownKeys = null;\n ctHandle.clear();\n } else {\n let keys = {};\n checked.each(function() {\n data.map[this.value].forEach(function(key) {\n keys[key] = true;\n });\n });\n let keyArray = Object.keys(keys);\n keyArray.sort();\n lastKnownKeys = keyArray;\n ctHandle.set(keyArray);\n }\n });\n\n return {\n suspend: function() {\n ctHandle.clear();\n },\n resume: function() {\n if (lastKnownKeys)\n ctHandle.set(lastKnownKeys);\n }\n };\n }\n});\n", + "import * as input from \"./input\";\nimport * as util from \"./util\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\n\ninput.register({\n className: \"crosstalk-input-select\",\n\n factory: function(el, data) {\n /*\n * items: {value: [...], label: [...]}\n * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n * group: \"ct-groupname\"\n */\n\n let first = [{value: \"\", label: \"(All)\"}];\n let items = util.dataframeToD3(data.items);\n let opts = {\n options: first.concat(items),\n valueField: \"value\",\n labelField: \"label\",\n searchField: \"label\"\n };\n\n let select = $(el).find(\"select\")[0];\n\n let selectize = $(select).selectize(opts)[0].selectize;\n\n let ctHandle = new FilterHandle(data.group);\n\n let lastKnownKeys;\n selectize.on(\"change\", function() {\n if (selectize.items.length === 0) {\n lastKnownKeys = null;\n ctHandle.clear();\n } else {\n let keys = {};\n selectize.items.forEach(function(group) {\n data.map[group].forEach(function(key) {\n keys[key] = true;\n });\n });\n let keyArray = Object.keys(keys);\n keyArray.sort();\n lastKnownKeys = keyArray;\n ctHandle.set(keyArray);\n }\n });\n\n return {\n suspend: function() {\n ctHandle.clear();\n },\n resume: function() {\n if (lastKnownKeys)\n ctHandle.set(lastKnownKeys);\n }\n };\n }\n});\n", + "import * as input from \"./input\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\nlet strftime = global.strftime;\n\ninput.register({\n className: \"crosstalk-input-slider\",\n\n factory: function(el, data) {\n /*\n * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n * group: \"ct-groupname\"\n */\n let ctHandle = new FilterHandle(data.group);\n\n let opts = {};\n let $el = $(el).find(\"input\");\n let dataType = $el.data(\"data-type\");\n let timeFormat = $el.data(\"time-format\");\n let round = $el.data(\"round\");\n let timeFormatter;\n\n // Set up formatting functions\n if (dataType === \"date\") {\n timeFormatter = strftime.utc();\n opts.prettify = function(num) {\n return timeFormatter(timeFormat, new Date(num));\n };\n\n } else if (dataType === \"datetime\") {\n let timezone = $el.data(\"timezone\");\n if (timezone)\n timeFormatter = strftime.timezone(timezone);\n else\n timeFormatter = strftime;\n\n opts.prettify = function(num) {\n return timeFormatter(timeFormat, new Date(num));\n };\n } else if (dataType === \"number\") {\n if (typeof round !== \"undefined\")\n opts.prettify = function(num) {\n let factor = Math.pow(10, round);\n return Math.round(num * factor) / factor;\n };\n }\n\n $el.ionRangeSlider(opts);\n\n function getValue() {\n let result = $el.data(\"ionRangeSlider\").result;\n\n // Function for converting numeric value from slider to appropriate type.\n let convert;\n let dataType = $el.data(\"data-type\");\n if (dataType === \"date\") {\n convert = function(val) {\n return formatDateUTC(new Date(+val));\n };\n } else if (dataType === \"datetime\") {\n convert = function(val) {\n // Convert ms to s\n return +val / 1000;\n };\n } else {\n convert = function(val) { return +val; };\n }\n\n if ($el.data(\"ionRangeSlider\").options.type === \"double\") {\n return [convert(result.from), convert(result.to)];\n } else {\n return convert(result.from);\n }\n }\n\n let lastKnownKeys = null;\n\n $el.on(\"change.crosstalkSliderInput\", function(event) {\n if (!$el.data(\"updating\") && !$el.data(\"animating\")) {\n let [from, to] = getValue();\n let keys = [];\n for (let i = 0; i < data.values.length; i++) {\n let val = data.values[i];\n if (val >= from && val <= to) {\n keys.push(data.keys[i]);\n }\n }\n keys.sort();\n ctHandle.set(keys);\n lastKnownKeys = keys;\n }\n });\n\n\n // let $el = $(el);\n // $el.on(\"change\", \"input[type=\"checkbox\"]\", function() {\n // let checked = $el.find(\"input[type=\"checkbox\"]:checked\");\n // if (checked.length === 0) {\n // ctHandle.clear();\n // } else {\n // let keys = {};\n // checked.each(function() {\n // data.map[this.value].forEach(function(key) {\n // keys[key] = true;\n // });\n // });\n // let keyArray = Object.keys(keys);\n // keyArray.sort();\n // ctHandle.set(keyArray);\n // }\n // });\n\n return {\n suspend: function() {\n ctHandle.clear();\n },\n resume: function() {\n if (lastKnownKeys)\n ctHandle.set(lastKnownKeys);\n }\n };\n }\n});\n\n\n// Convert a number to a string with leading zeros\nfunction padZeros(n, digits) {\n let str = n.toString();\n while (str.length < digits)\n str = \"0\" + str;\n return str;\n}\n\n// Given a Date object, return a string in yyyy-mm-dd format, using the\n// UTC date. This may be a day off from the date in the local time zone.\nfunction formatDateUTC(date) {\n if (date instanceof Date) {\n return date.getUTCFullYear() + \"-\" +\n padZeros(date.getUTCMonth()+1, 2) + \"-\" +\n padZeros(date.getUTCDate(), 2);\n\n } else {\n return null;\n }\n}\n", + "import Events from \"./events\";\nimport grp from \"./group\";\nimport * as util from \"./util\";\n\n/**\n * Use this class to read and write (and listen for changes to) the selection\n * for a Crosstalk group. This is intended to be used for linked brushing.\n *\n * If two (or more) `SelectionHandle` instances in the same webpage share the\n * same group name, they will share the same state. Setting the selection using\n * one `SelectionHandle` instance will result in the `value` property instantly\n * changing across the others, and `\"change\"` event listeners on all instances\n * (including the one that initiated the sending) will fire.\n *\n * @param {string} [group] - The name of the Crosstalk group, or if none,\n * null or undefined (or any other falsy value). This can be changed later\n * via the [SelectionHandle#setGroup](#setGroup) method.\n * @param {Object} [extraInfo] - An object whose properties will be copied to\n * the event object whenever an event is emitted.\n */\nexport class SelectionHandle {\n\n constructor(group = null, extraInfo = null) {\n this._eventRelay = new Events();\n this._emitter = new util.SubscriptionTracker(this._eventRelay);\n\n // Name of the group we're currently tracking, if any. Can change over time.\n this._group = null;\n // The Var we're currently tracking, if any. Can change over time.\n this._var = null;\n // The event handler subscription we currently have on var.on(\"change\").\n this._varOnChangeSub = null;\n\n this._extraInfo = util.extend({ sender: this }, extraInfo);\n\n this.setGroup(group);\n }\n\n /**\n * Changes the Crosstalk group membership of this SelectionHandle. The group\n * being switched away from (if any) will not have its selection value\n * modified as a result of calling `setGroup`, even if this handle was the\n * most recent handle to set the selection of the group.\n *\n * The group being switched to (if any) will also not have its selection value\n * modified as a result of calling `setGroup`. If you want to set the\n * selection value of the new group, call `set` explicitly.\n *\n * @param {string} group - The name of the Crosstalk group, or null (or\n * undefined) to clear the group.\n */\n setGroup(group) {\n // If group is unchanged, do nothing\n if (this._group === group)\n return;\n // Treat null, undefined, and other falsy values the same\n if (!this._group && !group)\n return;\n\n if (this._var) {\n this._var.off(\"change\", this._varOnChangeSub);\n this._var = null;\n this._varOnChangeSub = null;\n }\n\n this._group = group;\n\n if (group) {\n this._var = grp(group).var(\"selection\");\n let sub = this._var.on(\"change\", (e) => {\n this._eventRelay.trigger(\"change\", e, this);\n });\n this._varOnChangeSub = sub;\n }\n }\n\n /**\n * Retrieves the current selection for the group represented by this\n * `SelectionHandle`.\n *\n * - If no selection is active, then this value will be falsy.\n * - If a selection is active, but no data points are selected, then this\n * value will be an empty array.\n * - If a selection is active, and data points are selected, then the keys\n * of the selected data points will be present in the array.\n */\n get value() {\n return this._var ? this._var.get() : null;\n }\n\n /**\n * Combines the given `extraInfo` (if any) with the handle's default\n * `_extraInfo` (if any).\n * @private\n */\n _mergeExtraInfo(extraInfo) {\n // Important incidental effect: shallow clone is returned\n return util.extend({},\n this._extraInfo ? this._extraInfo : null,\n extraInfo ? extraInfo : null);\n }\n\n /**\n * Overwrites the current selection for the group, and raises the `\"change\"`\n * event among all of the group's '`SelectionHandle` instances (including\n * this one).\n *\n * @fires SelectionHandle#change\n * @param {string[]} selectedKeys - Falsy, empty array, or array of keys (see\n * {@link SelectionHandle#value}).\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any options that were\n * passed into the `SelectionHandle` constructor).\n */\n set(selectedKeys, extraInfo) {\n if (this._var)\n this._var.set(selectedKeys, this._mergeExtraInfo(extraInfo));\n }\n\n /**\n * Overwrites the current selection for the group, and raises the `\"change\"`\n * event among all of the group's '`SelectionHandle` instances (including\n * this one).\n *\n * @fires SelectionHandle#change\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any that were passed\n * into the `SelectionHandle` constructor).\n */\n clear(extraInfo) {\n if (this._var)\n this.set(void 0, this._mergeExtraInfo(extraInfo));\n }\n\n /**\n * Subscribes to events on this `SelectionHandle`.\n *\n * @param {string} eventType - Indicates the type of events to listen to.\n * Currently, only `\"change\"` is supported.\n * @param {SelectionHandle~listener} listener - The callback function that\n * will be invoked when the event occurs.\n * @return {string} - A token to pass to {@link SelectionHandle#off} to cancel\n * this subscription.\n */\n on(eventType, listener) {\n return this._emitter.on(eventType, listener);\n }\n\n /**\n * Cancels event subscriptions created by {@link SelectionHandle#on}.\n *\n * @param {string} eventType - The type of event to unsubscribe.\n * @param {string|SelectionHandle~listener} listener - Either the callback\n * function previously passed into {@link SelectionHandle#on}, or the\n * string that was returned from {@link SelectionHandle#on}.\n */\n off(eventType, listener) {\n return this._emitter.off(eventType, listener);\n }\n\n /**\n * Shuts down the `SelectionHandle` object.\n *\n * Removes all event listeners that were added through this handle.\n */\n close() {\n this._emitter.removeAllListeners();\n this.setGroup(null);\n }\n}\n\n/**\n * @callback SelectionHandle~listener\n * @param {Object} event - An object containing details of the event. For\n * `\"change\"` events, this includes the properties `value` (the new\n * value of the selection, or `undefined` if no selection is active),\n * `oldValue` (the previous value of the selection), and `sender` (the\n * `SelectionHandle` instance that made the change).\n */\n\n/**\n * @event SelectionHandle#change\n * @type {object}\n * @property {object} value - The new value of the selection, or `undefined`\n * if no selection is active.\n * @property {object} oldValue - The previous value of the selection.\n * @property {SelectionHandle} sender - The `SelectionHandle` instance that\n * changed the value.\n */\n", + "export function extend(target, ...sources) {\n for (let i = 0; i < sources.length; i++) {\n let src = sources[i];\n if (typeof(src) === \"undefined\" || src === null)\n continue;\n\n for (let key in src) {\n if (src.hasOwnProperty(key)) {\n target[key] = src[key];\n }\n }\n }\n return target;\n}\n\nexport function checkSorted(list) {\n for (let i = 1; i < list.length; i++) {\n if (list[i] <= list[i-1]) {\n throw new Error(\"List is not sorted or contains duplicate\");\n }\n }\n}\n\nexport function diffSortedLists(a, b) {\n let i_a = 0;\n let i_b = 0;\n\n if (!a) a = [];\n if (!b) b = [];\n\n let a_only = [];\n let b_only = [];\n\n checkSorted(a);\n checkSorted(b);\n\n while (i_a < a.length && i_b < b.length) {\n if (a[i_a] === b[i_b]) {\n i_a++;\n i_b++;\n } else if (a[i_a] < b[i_b]) {\n a_only.push(a[i_a++]);\n } else {\n b_only.push(b[i_b++]);\n }\n }\n\n if (i_a < a.length)\n a_only = a_only.concat(a.slice(i_a));\n if (i_b < b.length)\n b_only = b_only.concat(b.slice(i_b));\n return {\n removed: a_only,\n added: b_only\n };\n}\n\n// Convert from wide: { colA: [1,2,3], colB: [4,5,6], ... }\n// to long: [ {colA: 1, colB: 4}, {colA: 2, colB: 5}, ... ]\nexport function dataframeToD3(df) {\n let names = [];\n let length;\n for (let name in df) {\n if (df.hasOwnProperty(name))\n names.push(name);\n if (typeof(df[name]) !== \"object\" || typeof(df[name].length) === \"undefined\") {\n throw new Error(\"All fields must be arrays\");\n } else if (typeof(length) !== \"undefined\" && length !== df[name].length) {\n throw new Error(\"All fields must be arrays of the same length\");\n }\n length = df[name].length;\n }\n let results = [];\n let item;\n for (let row = 0; row < length; row++) {\n item = {};\n for (let col = 0; col < names.length; col++) {\n item[names[col]] = df[names[col]][row];\n }\n results.push(item);\n }\n return results;\n}\n\n/**\n * Keeps track of all event listener additions/removals and lets all active\n * listeners be removed with a single operation.\n *\n * @private\n */\nexport class SubscriptionTracker {\n constructor(emitter) {\n this._emitter = emitter;\n this._subs = {};\n }\n\n on(eventType, listener) {\n let sub = this._emitter.on(eventType, listener);\n this._subs[sub] = eventType;\n return sub;\n }\n\n off(eventType, listener) {\n let sub = this._emitter.off(eventType, listener);\n if (sub) {\n delete this._subs[sub];\n }\n return sub;\n }\n\n removeAllListeners() {\n let current_subs = this._subs;\n this._subs = {};\n Object.keys(current_subs).forEach((sub) => {\n this._emitter.off(current_subs[sub], sub);\n });\n }\n}\n", + "import Events from \"./events\";\n\nexport default class Var {\n constructor(group, name, /*optional*/ value) {\n this._group = group;\n this._name = name;\n this._value = value;\n this._events = new Events();\n }\n\n get() {\n return this._value;\n }\n\n set(value, /*optional*/ event) {\n if (this._value === value) {\n // Do nothing; the value hasn't changed\n return;\n }\n let oldValue = this._value;\n this._value = value;\n // Alert JavaScript listeners that the value has changed\n let evt = {};\n if (event && typeof(event) === \"object\") {\n for (let k in event) {\n if (event.hasOwnProperty(k))\n evt[k] = event[k];\n }\n }\n evt.oldValue = oldValue;\n evt.value = value;\n this._events.trigger(\"change\", evt, this);\n\n // TODO: Make this extensible, to let arbitrary back-ends know that\n // something has changed\n if (global.Shiny && global.Shiny.onInputChange) {\n global.Shiny.onInputChange(\n \".clientValue-\" +\n (this._group.name !== null ? this._group.name + \"-\" : \"\") +\n this._name,\n typeof(value) === \"undefined\" ? null : value\n );\n }\n }\n\n on(eventType, listener) {\n return this._events.on(eventType, listener);\n }\n\n off(eventType, listener) {\n return this._events.off(eventType, listener);\n }\n}\n" + ] +} \ No newline at end of file diff --git a/public/2024/07/tdlm-data-dictionary/index_files/crosstalk/js/crosstalk.min.js b/public/2024/07/tdlm-data-dictionary/index_files/crosstalk/js/crosstalk.min.js new file mode 100644 index 0000000..b7ec0ac --- /dev/null +++ b/public/2024/07/tdlm-data-dictionary/index_files/crosstalk/js/crosstalk.min.js @@ -0,0 +1,2 @@ +!function o(u,a,l){function s(n,e){if(!a[n]){if(!u[n]){var t="function"==typeof require&&require;if(!e&&t)return t(n,!0);if(f)return f(n,!0);var r=new Error("Cannot find module '"+n+"'");throw r.code="MODULE_NOT_FOUND",r}var i=a[n]={exports:{}};u[n][0].call(i.exports,function(e){var t=u[n][1][e];return s(t||e)},i,i.exports,o,u,a,l)}return a[n].exports}for(var f="function"==typeof require&&require,e=0;e?@[\\\]^`{|}~])/g,"\\$1")+"']"),r=JSON.parse(n[0].innerText),i=e.factory(t,r);o(t).data("crosstalk-instance",i),o(t).addClass("crosstalk-input-bound")}if(t.Shiny){var e=new t.Shiny.InputBinding,u=t.jQuery;u.extend(e,{find:function(e){return u(e).find(".crosstalk-input")},initialize:function(e){var t,n;u(e).hasClass("crosstalk-input-bound")||(n=o(t=e),Object.keys(r).forEach(function(e){n.hasClass(e)&&!n.hasClass("crosstalk-input-bound")&&i(r[e],t)}))},getId:function(e){return e.id},getValue:function(e){},setValue:function(e,t){},receiveMessage:function(e,t){},subscribe:function(e,t){u(e).data("crosstalk-instance").resume()},unsubscribe:function(e){u(e).data("crosstalk-instance").suspend()}}),t.Shiny.inputBindings.register(e,"crosstalk.inputBinding")}}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{}],7:[function(r,e,t){(function(e){"use strict";var t=function(e){{if(e&&e.__esModule)return e;var t={};if(null!=e)for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n]);return t.default=e,t}}(r("./input")),n=r("./filter");var a=e.jQuery;t.register({className:"crosstalk-input-checkboxgroup",factory:function(e,r){var i=new n.FilterHandle(r.group),o=void 0,u=a(e);return u.on("change","input[type='checkbox']",function(){var e=u.find("input[type='checkbox']:checked");if(0===e.length)o=null,i.clear();else{var t={};e.each(function(){r.map[this.value].forEach(function(e){t[e]=!0})});var n=Object.keys(t);n.sort(),o=n,i.set(n)}}),{suspend:function(){i.clear()},resume:function(){o&&i.set(o)}}}})}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"./filter":2,"./input":6}],8:[function(r,e,t){(function(e){"use strict";var t=n(r("./input")),l=n(r("./util")),s=r("./filter");function n(e){if(e&&e.__esModule)return e;var t={};if(null!=e)for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n]);return t.default=e,t}var f=e.jQuery;t.register({className:"crosstalk-input-select",factory:function(e,n){var t=l.dataframeToD3(n.items),r={options:[{value:"",label:"(All)"}].concat(t),valueField:"value",labelField:"label",searchField:"label"},i=f(e).find("select")[0],o=f(i).selectize(r)[0].selectize,u=new s.FilterHandle(n.group),a=void 0;return o.on("change",function(){if(0===o.items.length)a=null,u.clear();else{var t={};o.items.forEach(function(e){n.map[e].forEach(function(e){t[e]=!0})});var e=Object.keys(t);e.sort(),a=e,u.set(e)}}),{suspend:function(){u.clear()},resume:function(){a&&u.set(a)}}}})}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"./filter":2,"./input":6,"./util":11}],9:[function(n,e,t){(function(e){"use strict";var d=function(e,t){if(Array.isArray(e))return e;if(Symbol.iterator in Object(e))return function(e,t){var n=[],r=!0,i=!1,o=void 0;try{for(var u,a=e[Symbol.iterator]();!(r=(u=a.next()).done)&&(n.push(u.value),!t||n.length!==t);r=!0);}catch(e){i=!0,o=e}finally{try{!r&&a.return&&a.return()}finally{if(i)throw o}}return n}(e,t);throw new TypeError("Invalid attempt to destructure non-iterable instance")},t=function(e){{if(e&&e.__esModule)return e;var t={};if(null!=e)for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n]);return t.default=e,t}}(n("./input")),a=n("./filter");var v=e.jQuery,p=e.strftime;function y(e,t){for(var n=e.toString();n.length {\n this._eventRelay.trigger(\"change\", e, this);\n });\n this._varOnChangeSub = sub;\n }\n }\n\n /**\n * Combine the given `extraInfo` (if any) with the handle's default\n * `_extraInfo` (if any).\n * @private\n */\n _mergeExtraInfo(extraInfo) {\n return util.extend({},\n this._extraInfo ? this._extraInfo : null,\n extraInfo ? extraInfo : null);\n }\n\n /**\n * Close the handle. This clears this handle's contribution to the filter set,\n * and unsubscribes all event listeners.\n */\n close() {\n this._emitter.removeAllListeners();\n this.clear();\n this.setGroup(null);\n }\n\n /**\n * Clear this handle's contribution to the filter set.\n *\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any options that were\n * passed into the `FilterHandle` constructor).\n * \n * @fires FilterHandle#change\n */\n clear(extraInfo) {\n if (!this._filterSet)\n return;\n this._filterSet.clear(this._id);\n this._onChange(extraInfo);\n }\n\n /**\n * Set this handle's contribution to the filter set. This array should consist\n * of the keys of the rows that _should_ be displayed; any keys that are not\n * present in the array will be considered _filtered out_. Note that multiple\n * `FilterHandle` instances in the group may each contribute an array of keys,\n * and only those keys that appear in _all_ of the arrays make it through the\n * filter.\n *\n * @param {string[]} keys - Empty array, or array of keys. To clear the\n * filter, don't pass an empty array; instead, use the\n * {@link FilterHandle#clear} method.\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any options that were\n * passed into the `FilterHandle` constructor).\n * \n * @fires FilterHandle#change\n */\n set(keys, extraInfo) {\n if (!this._filterSet)\n return;\n this._filterSet.update(this._id, keys);\n this._onChange(extraInfo);\n }\n\n /**\n * @return {string[]|null} - Either: 1) an array of keys that made it through\n * all of the `FilterHandle` instances, or, 2) `null`, which means no filter\n * is being applied (all data should be displayed).\n */\n get filteredKeys() {\n return this._filterSet ? this._filterSet.value : null;\n }\n\n /**\n * Subscribe to events on this `FilterHandle`.\n *\n * @param {string} eventType - Indicates the type of events to listen to.\n * Currently, only `\"change\"` is supported.\n * @param {FilterHandle~listener} listener - The callback function that\n * will be invoked when the event occurs.\n * @return {string} - A token to pass to {@link FilterHandle#off} to cancel\n * this subscription.\n */\n on(eventType, listener) {\n return this._emitter.on(eventType, listener);\n }\n\n /**\n * Cancel event subscriptions created by {@link FilterHandle#on}.\n *\n * @param {string} eventType - The type of event to unsubscribe.\n * @param {string|FilterHandle~listener} listener - Either the callback\n * function previously passed into {@link FilterHandle#on}, or the\n * string that was returned from {@link FilterHandle#on}.\n */\n off(eventType, listener) {\n return this._emitter.off(eventType, listener);\n }\n\n _onChange(extraInfo) {\n if (!this._filterSet)\n return;\n this._filterVar.set(this._filterSet.value, this._mergeExtraInfo(extraInfo));\n }\n\n /**\n * @callback FilterHandle~listener\n * @param {Object} event - An object containing details of the event. For\n * `\"change\"` events, this includes the properties `value` (the new\n * value of the filter set, or `null` if no filter set is active),\n * `oldValue` (the previous value of the filter set), and `sender` (the\n * `FilterHandle` instance that made the change).\n */\n\n}\n\n/**\n * @event FilterHandle#change\n * @type {object}\n * @property {object} value - The new value of the filter set, or `null`\n * if no filter set is active.\n * @property {object} oldValue - The previous value of the filter set.\n * @property {FilterHandle} sender - The `FilterHandle` instance that\n * changed the value.\n */\n","import { diffSortedLists } from \"./util\";\n\nfunction naturalComparator(a, b) {\n if (a === b) {\n return 0;\n } else if (a < b) {\n return -1;\n } else if (a > b) {\n return 1;\n }\n}\n\n/**\n * @private\n */\nexport default class FilterSet {\n constructor() {\n this.reset();\n }\n\n reset() {\n // Key: handle ID, Value: array of selected keys, or null\n this._handles = {};\n // Key: key string, Value: count of handles that include it\n this._keys = {};\n this._value = null;\n this._activeHandles = 0;\n }\n\n get value() {\n return this._value;\n }\n\n update(handleId, keys) {\n if (keys !== null) {\n keys = keys.slice(0); // clone before sorting\n keys.sort(naturalComparator);\n }\n\n let {added, removed} = diffSortedLists(this._handles[handleId], keys);\n this._handles[handleId] = keys;\n\n for (let i = 0; i < added.length; i++) {\n this._keys[added[i]] = (this._keys[added[i]] || 0) + 1;\n }\n for (let i = 0; i < removed.length; i++) {\n this._keys[removed[i]]--;\n }\n\n this._updateValue(keys);\n }\n\n /**\n * @param {string[]} keys Sorted array of strings that indicate\n * a superset of possible keys.\n * @private\n */\n _updateValue(keys = this._allKeys) {\n let handleCount = Object.keys(this._handles).length;\n if (handleCount === 0) {\n this._value = null;\n } else {\n this._value = [];\n for (let i = 0; i < keys.length; i++) {\n let count = this._keys[keys[i]];\n if (count === handleCount) {\n this._value.push(keys[i]);\n }\n }\n }\n }\n\n clear(handleId) {\n if (typeof(this._handles[handleId]) === \"undefined\") {\n return;\n }\n\n let keys = this._handles[handleId];\n if (!keys) {\n keys = [];\n }\n\n for (let i = 0; i < keys.length; i++) {\n this._keys[keys[i]]--;\n }\n delete this._handles[handleId];\n\n this._updateValue();\n }\n\n get _allKeys() {\n let allKeys = Object.keys(this._keys);\n allKeys.sort(naturalComparator);\n return allKeys;\n }\n}\n","import Var from \"./var\";\n\n// Use a global so that multiple copies of crosstalk.js can be loaded and still\n// have groups behave as singletons across all copies.\nglobal.__crosstalk_groups = global.__crosstalk_groups || {};\nlet groups = global.__crosstalk_groups;\n\nexport default function group(groupName) {\n if (groupName && typeof(groupName) === \"string\") {\n if (!groups.hasOwnProperty(groupName)) {\n groups[groupName] = new Group(groupName);\n }\n return groups[groupName];\n } else if (typeof(groupName) === \"object\" && groupName._vars && groupName.var) {\n // Appears to already be a group object\n return groupName;\n } else if (Array.isArray(groupName) &&\n groupName.length == 1 &&\n typeof(groupName[0]) === \"string\") {\n return group(groupName[0]);\n } else {\n throw new Error(\"Invalid groupName argument\");\n }\n}\n\nclass Group {\n constructor(name) {\n this.name = name;\n this._vars = {};\n }\n\n var(name) {\n if (!name || typeof(name) !== \"string\") {\n throw new Error(\"Invalid var name\");\n }\n\n if (!this._vars.hasOwnProperty(name))\n this._vars[name] = new Var(this, name);\n return this._vars[name];\n }\n\n has(name) {\n if (!name || typeof(name) !== \"string\") {\n throw new Error(\"Invalid var name\");\n }\n\n return this._vars.hasOwnProperty(name);\n }\n}\n","import group from \"./group\";\nimport { SelectionHandle } from \"./selection\";\nimport { FilterHandle } from \"./filter\";\nimport { bind } from \"./input\";\nimport \"./input_selectize\";\nimport \"./input_checkboxgroup\";\nimport \"./input_slider\";\n\nconst defaultGroup = group(\"default\");\n\nfunction var_(name) {\n return defaultGroup.var(name);\n}\n\nfunction has(name) {\n return defaultGroup.has(name);\n}\n\nif (global.Shiny) {\n global.Shiny.addCustomMessageHandler(\"update-client-value\", function(message) {\n if (typeof(message.group) === \"string\") {\n group(message.group).var(message.name).set(message.value);\n } else {\n var_(message.name).set(message.value);\n }\n });\n}\n\nconst crosstalk = {\n group: group,\n var: var_,\n has: has,\n SelectionHandle: SelectionHandle,\n FilterHandle: FilterHandle,\n bind: bind\n};\n\n/**\n * @namespace crosstalk\n */\nexport default crosstalk;\nglobal.crosstalk = crosstalk;\n","let $ = global.jQuery;\n\nlet bindings = {};\n\nexport function register(reg) {\n bindings[reg.className] = reg;\n if (global.document && global.document.readyState !== \"complete\") {\n $(() => {\n bind();\n });\n } else if (global.document) {\n setTimeout(bind, 100);\n }\n}\n\nexport function bind() {\n Object.keys(bindings).forEach(function(className) {\n let binding = bindings[className];\n $(\".\" + binding.className).not(\".crosstalk-input-bound\").each(function(i, el) {\n bindInstance(binding, el);\n });\n });\n}\n\n// Escape jQuery identifier\nfunction $escape(val) {\n return val.replace(/([!\"#$%&'()*+,./:;<=>?@[\\\\\\]^`{|}~])/g, \"\\\\$1\");\n}\n\nfunction bindEl(el) {\n let $el = $(el);\n Object.keys(bindings).forEach(function(className) {\n if ($el.hasClass(className) && !$el.hasClass(\"crosstalk-input-bound\")) {\n let binding = bindings[className];\n bindInstance(binding, el);\n }\n });\n}\n\nfunction bindInstance(binding, el) {\n let jsonEl = $(el).find(\"script[type='application/json'][data-for='\" + $escape(el.id) + \"']\");\n let data = JSON.parse(jsonEl[0].innerText);\n\n let instance = binding.factory(el, data);\n $(el).data(\"crosstalk-instance\", instance);\n $(el).addClass(\"crosstalk-input-bound\");\n}\n\nif (global.Shiny) {\n let inputBinding = new global.Shiny.InputBinding();\n let $ = global.jQuery;\n $.extend(inputBinding, {\n find: function(scope) {\n return $(scope).find(\".crosstalk-input\");\n },\n initialize: function(el) {\n if (!$(el).hasClass(\"crosstalk-input-bound\")) {\n bindEl(el);\n }\n },\n getId: function(el) {\n return el.id;\n },\n getValue: function(el) {\n\n },\n setValue: function(el, value) {\n\n },\n receiveMessage: function(el, data) {\n\n },\n subscribe: function(el, callback) {\n $(el).data(\"crosstalk-instance\").resume();\n },\n unsubscribe: function(el) {\n $(el).data(\"crosstalk-instance\").suspend();\n }\n });\n global.Shiny.inputBindings.register(inputBinding, \"crosstalk.inputBinding\");\n}\n","import * as input from \"./input\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\n\ninput.register({\n className: \"crosstalk-input-checkboxgroup\",\n\n factory: function(el, data) {\n /*\n * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n * group: \"ct-groupname\"\n */\n let ctHandle = new FilterHandle(data.group);\n\n let lastKnownKeys;\n let $el = $(el);\n $el.on(\"change\", \"input[type='checkbox']\", function() {\n let checked = $el.find(\"input[type='checkbox']:checked\");\n if (checked.length === 0) {\n lastKnownKeys = null;\n ctHandle.clear();\n } else {\n let keys = {};\n checked.each(function() {\n data.map[this.value].forEach(function(key) {\n keys[key] = true;\n });\n });\n let keyArray = Object.keys(keys);\n keyArray.sort();\n lastKnownKeys = keyArray;\n ctHandle.set(keyArray);\n }\n });\n\n return {\n suspend: function() {\n ctHandle.clear();\n },\n resume: function() {\n if (lastKnownKeys)\n ctHandle.set(lastKnownKeys);\n }\n };\n }\n});\n","import * as input from \"./input\";\nimport * as util from \"./util\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\n\ninput.register({\n className: \"crosstalk-input-select\",\n\n factory: function(el, data) {\n /*\n * items: {value: [...], label: [...]}\n * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n * group: \"ct-groupname\"\n */\n\n let first = [{value: \"\", label: \"(All)\"}];\n let items = util.dataframeToD3(data.items);\n let opts = {\n options: first.concat(items),\n valueField: \"value\",\n labelField: \"label\",\n searchField: \"label\"\n };\n\n let select = $(el).find(\"select\")[0];\n\n let selectize = $(select).selectize(opts)[0].selectize;\n\n let ctHandle = new FilterHandle(data.group);\n\n let lastKnownKeys;\n selectize.on(\"change\", function() {\n if (selectize.items.length === 0) {\n lastKnownKeys = null;\n ctHandle.clear();\n } else {\n let keys = {};\n selectize.items.forEach(function(group) {\n data.map[group].forEach(function(key) {\n keys[key] = true;\n });\n });\n let keyArray = Object.keys(keys);\n keyArray.sort();\n lastKnownKeys = keyArray;\n ctHandle.set(keyArray);\n }\n });\n\n return {\n suspend: function() {\n ctHandle.clear();\n },\n resume: function() {\n if (lastKnownKeys)\n ctHandle.set(lastKnownKeys);\n }\n };\n }\n});\n","import * as input from \"./input\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\nlet strftime = global.strftime;\n\ninput.register({\n className: \"crosstalk-input-slider\",\n\n factory: function(el, data) {\n /*\n * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n * group: \"ct-groupname\"\n */\n let ctHandle = new FilterHandle(data.group);\n\n let opts = {};\n let $el = $(el).find(\"input\");\n let dataType = $el.data(\"data-type\");\n let timeFormat = $el.data(\"time-format\");\n let round = $el.data(\"round\");\n let timeFormatter;\n\n // Set up formatting functions\n if (dataType === \"date\") {\n timeFormatter = strftime.utc();\n opts.prettify = function(num) {\n return timeFormatter(timeFormat, new Date(num));\n };\n\n } else if (dataType === \"datetime\") {\n let timezone = $el.data(\"timezone\");\n if (timezone)\n timeFormatter = strftime.timezone(timezone);\n else\n timeFormatter = strftime;\n\n opts.prettify = function(num) {\n return timeFormatter(timeFormat, new Date(num));\n };\n } else if (dataType === \"number\") {\n if (typeof round !== \"undefined\")\n opts.prettify = function(num) {\n let factor = Math.pow(10, round);\n return Math.round(num * factor) / factor;\n };\n }\n\n $el.ionRangeSlider(opts);\n\n function getValue() {\n let result = $el.data(\"ionRangeSlider\").result;\n\n // Function for converting numeric value from slider to appropriate type.\n let convert;\n let dataType = $el.data(\"data-type\");\n if (dataType === \"date\") {\n convert = function(val) {\n return formatDateUTC(new Date(+val));\n };\n } else if (dataType === \"datetime\") {\n convert = function(val) {\n // Convert ms to s\n return +val / 1000;\n };\n } else {\n convert = function(val) { return +val; };\n }\n\n if ($el.data(\"ionRangeSlider\").options.type === \"double\") {\n return [convert(result.from), convert(result.to)];\n } else {\n return convert(result.from);\n }\n }\n\n let lastKnownKeys = null;\n\n $el.on(\"change.crosstalkSliderInput\", function(event) {\n if (!$el.data(\"updating\") && !$el.data(\"animating\")) {\n let [from, to] = getValue();\n let keys = [];\n for (let i = 0; i < data.values.length; i++) {\n let val = data.values[i];\n if (val >= from && val <= to) {\n keys.push(data.keys[i]);\n }\n }\n keys.sort();\n ctHandle.set(keys);\n lastKnownKeys = keys;\n }\n });\n\n\n // let $el = $(el);\n // $el.on(\"change\", \"input[type=\"checkbox\"]\", function() {\n // let checked = $el.find(\"input[type=\"checkbox\"]:checked\");\n // if (checked.length === 0) {\n // ctHandle.clear();\n // } else {\n // let keys = {};\n // checked.each(function() {\n // data.map[this.value].forEach(function(key) {\n // keys[key] = true;\n // });\n // });\n // let keyArray = Object.keys(keys);\n // keyArray.sort();\n // ctHandle.set(keyArray);\n // }\n // });\n\n return {\n suspend: function() {\n ctHandle.clear();\n },\n resume: function() {\n if (lastKnownKeys)\n ctHandle.set(lastKnownKeys);\n }\n };\n }\n});\n\n\n// Convert a number to a string with leading zeros\nfunction padZeros(n, digits) {\n let str = n.toString();\n while (str.length < digits)\n str = \"0\" + str;\n return str;\n}\n\n// Given a Date object, return a string in yyyy-mm-dd format, using the\n// UTC date. This may be a day off from the date in the local time zone.\nfunction formatDateUTC(date) {\n if (date instanceof Date) {\n return date.getUTCFullYear() + \"-\" +\n padZeros(date.getUTCMonth()+1, 2) + \"-\" +\n padZeros(date.getUTCDate(), 2);\n\n } else {\n return null;\n }\n}\n","import Events from \"./events\";\nimport grp from \"./group\";\nimport * as util from \"./util\";\n\n/**\n * Use this class to read and write (and listen for changes to) the selection\n * for a Crosstalk group. This is intended to be used for linked brushing.\n *\n * If two (or more) `SelectionHandle` instances in the same webpage share the\n * same group name, they will share the same state. Setting the selection using\n * one `SelectionHandle` instance will result in the `value` property instantly\n * changing across the others, and `\"change\"` event listeners on all instances\n * (including the one that initiated the sending) will fire.\n *\n * @param {string} [group] - The name of the Crosstalk group, or if none,\n * null or undefined (or any other falsy value). This can be changed later\n * via the [SelectionHandle#setGroup](#setGroup) method.\n * @param {Object} [extraInfo] - An object whose properties will be copied to\n * the event object whenever an event is emitted.\n */\nexport class SelectionHandle {\n\n constructor(group = null, extraInfo = null) {\n this._eventRelay = new Events();\n this._emitter = new util.SubscriptionTracker(this._eventRelay);\n\n // Name of the group we're currently tracking, if any. Can change over time.\n this._group = null;\n // The Var we're currently tracking, if any. Can change over time.\n this._var = null;\n // The event handler subscription we currently have on var.on(\"change\").\n this._varOnChangeSub = null;\n\n this._extraInfo = util.extend({ sender: this }, extraInfo);\n\n this.setGroup(group);\n }\n\n /**\n * Changes the Crosstalk group membership of this SelectionHandle. The group\n * being switched away from (if any) will not have its selection value\n * modified as a result of calling `setGroup`, even if this handle was the\n * most recent handle to set the selection of the group.\n *\n * The group being switched to (if any) will also not have its selection value\n * modified as a result of calling `setGroup`. If you want to set the\n * selection value of the new group, call `set` explicitly.\n *\n * @param {string} group - The name of the Crosstalk group, or null (or\n * undefined) to clear the group.\n */\n setGroup(group) {\n // If group is unchanged, do nothing\n if (this._group === group)\n return;\n // Treat null, undefined, and other falsy values the same\n if (!this._group && !group)\n return;\n\n if (this._var) {\n this._var.off(\"change\", this._varOnChangeSub);\n this._var = null;\n this._varOnChangeSub = null;\n }\n\n this._group = group;\n\n if (group) {\n this._var = grp(group).var(\"selection\");\n let sub = this._var.on(\"change\", (e) => {\n this._eventRelay.trigger(\"change\", e, this);\n });\n this._varOnChangeSub = sub;\n }\n }\n\n /**\n * Retrieves the current selection for the group represented by this\n * `SelectionHandle`.\n *\n * - If no selection is active, then this value will be falsy.\n * - If a selection is active, but no data points are selected, then this\n * value will be an empty array.\n * - If a selection is active, and data points are selected, then the keys\n * of the selected data points will be present in the array.\n */\n get value() {\n return this._var ? this._var.get() : null;\n }\n\n /**\n * Combines the given `extraInfo` (if any) with the handle's default\n * `_extraInfo` (if any).\n * @private\n */\n _mergeExtraInfo(extraInfo) {\n // Important incidental effect: shallow clone is returned\n return util.extend({},\n this._extraInfo ? this._extraInfo : null,\n extraInfo ? extraInfo : null);\n }\n\n /**\n * Overwrites the current selection for the group, and raises the `\"change\"`\n * event among all of the group's '`SelectionHandle` instances (including\n * this one).\n *\n * @fires SelectionHandle#change\n * @param {string[]} selectedKeys - Falsy, empty array, or array of keys (see\n * {@link SelectionHandle#value}).\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any options that were\n * passed into the `SelectionHandle` constructor).\n */\n set(selectedKeys, extraInfo) {\n if (this._var)\n this._var.set(selectedKeys, this._mergeExtraInfo(extraInfo));\n }\n\n /**\n * Overwrites the current selection for the group, and raises the `\"change\"`\n * event among all of the group's '`SelectionHandle` instances (including\n * this one).\n *\n * @fires SelectionHandle#change\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any that were passed\n * into the `SelectionHandle` constructor).\n */\n clear(extraInfo) {\n if (this._var)\n this.set(void 0, this._mergeExtraInfo(extraInfo));\n }\n\n /**\n * Subscribes to events on this `SelectionHandle`.\n *\n * @param {string} eventType - Indicates the type of events to listen to.\n * Currently, only `\"change\"` is supported.\n * @param {SelectionHandle~listener} listener - The callback function that\n * will be invoked when the event occurs.\n * @return {string} - A token to pass to {@link SelectionHandle#off} to cancel\n * this subscription.\n */\n on(eventType, listener) {\n return this._emitter.on(eventType, listener);\n }\n\n /**\n * Cancels event subscriptions created by {@link SelectionHandle#on}.\n *\n * @param {string} eventType - The type of event to unsubscribe.\n * @param {string|SelectionHandle~listener} listener - Either the callback\n * function previously passed into {@link SelectionHandle#on}, or the\n * string that was returned from {@link SelectionHandle#on}.\n */\n off(eventType, listener) {\n return this._emitter.off(eventType, listener);\n }\n\n /**\n * Shuts down the `SelectionHandle` object.\n *\n * Removes all event listeners that were added through this handle.\n */\n close() {\n this._emitter.removeAllListeners();\n this.setGroup(null);\n }\n}\n\n/**\n * @callback SelectionHandle~listener\n * @param {Object} event - An object containing details of the event. For\n * `\"change\"` events, this includes the properties `value` (the new\n * value of the selection, or `undefined` if no selection is active),\n * `oldValue` (the previous value of the selection), and `sender` (the\n * `SelectionHandle` instance that made the change).\n */\n\n/**\n * @event SelectionHandle#change\n * @type {object}\n * @property {object} value - The new value of the selection, or `undefined`\n * if no selection is active.\n * @property {object} oldValue - The previous value of the selection.\n * @property {SelectionHandle} sender - The `SelectionHandle` instance that\n * changed the value.\n */\n","export function extend(target, ...sources) {\n for (let i = 0; i < sources.length; i++) {\n let src = sources[i];\n if (typeof(src) === \"undefined\" || src === null)\n continue;\n\n for (let key in src) {\n if (src.hasOwnProperty(key)) {\n target[key] = src[key];\n }\n }\n }\n return target;\n}\n\nexport function checkSorted(list) {\n for (let i = 1; i < list.length; i++) {\n if (list[i] <= list[i-1]) {\n throw new Error(\"List is not sorted or contains duplicate\");\n }\n }\n}\n\nexport function diffSortedLists(a, b) {\n let i_a = 0;\n let i_b = 0;\n\n if (!a) a = [];\n if (!b) b = [];\n\n let a_only = [];\n let b_only = [];\n\n checkSorted(a);\n checkSorted(b);\n\n while (i_a < a.length && i_b < b.length) {\n if (a[i_a] === b[i_b]) {\n i_a++;\n i_b++;\n } else if (a[i_a] < b[i_b]) {\n a_only.push(a[i_a++]);\n } else {\n b_only.push(b[i_b++]);\n }\n }\n\n if (i_a < a.length)\n a_only = a_only.concat(a.slice(i_a));\n if (i_b < b.length)\n b_only = b_only.concat(b.slice(i_b));\n return {\n removed: a_only,\n added: b_only\n };\n}\n\n// Convert from wide: { colA: [1,2,3], colB: [4,5,6], ... }\n// to long: [ {colA: 1, colB: 4}, {colA: 2, colB: 5}, ... ]\nexport function dataframeToD3(df) {\n let names = [];\n let length;\n for (let name in df) {\n if (df.hasOwnProperty(name))\n names.push(name);\n if (typeof(df[name]) !== \"object\" || typeof(df[name].length) === \"undefined\") {\n throw new Error(\"All fields must be arrays\");\n } else if (typeof(length) !== \"undefined\" && length !== df[name].length) {\n throw new Error(\"All fields must be arrays of the same length\");\n }\n length = df[name].length;\n }\n let results = [];\n let item;\n for (let row = 0; row < length; row++) {\n item = {};\n for (let col = 0; col < names.length; col++) {\n item[names[col]] = df[names[col]][row];\n }\n results.push(item);\n }\n return results;\n}\n\n/**\n * Keeps track of all event listener additions/removals and lets all active\n * listeners be removed with a single operation.\n *\n * @private\n */\nexport class SubscriptionTracker {\n constructor(emitter) {\n this._emitter = emitter;\n this._subs = {};\n }\n\n on(eventType, listener) {\n let sub = this._emitter.on(eventType, listener);\n this._subs[sub] = eventType;\n return sub;\n }\n\n off(eventType, listener) {\n let sub = this._emitter.off(eventType, listener);\n if (sub) {\n delete this._subs[sub];\n }\n return sub;\n }\n\n removeAllListeners() {\n let current_subs = this._subs;\n this._subs = {};\n Object.keys(current_subs).forEach((sub) => {\n this._emitter.off(current_subs[sub], sub);\n });\n }\n}\n","import Events from \"./events\";\n\nexport default class Var {\n constructor(group, name, /*optional*/ value) {\n this._group = group;\n this._name = name;\n this._value = value;\n this._events = new Events();\n }\n\n get() {\n return this._value;\n }\n\n set(value, /*optional*/ event) {\n if (this._value === value) {\n // Do nothing; the value hasn't changed\n return;\n }\n let oldValue = this._value;\n this._value = value;\n // Alert JavaScript listeners that the value has changed\n let evt = {};\n if (event && typeof(event) === \"object\") {\n for (let k in event) {\n if (event.hasOwnProperty(k))\n evt[k] = event[k];\n }\n }\n evt.oldValue = oldValue;\n evt.value = value;\n this._events.trigger(\"change\", evt, this);\n\n // TODO: Make this extensible, to let arbitrary back-ends know that\n // something has changed\n if (global.Shiny && global.Shiny.onInputChange) {\n global.Shiny.onInputChange(\n \".clientValue-\" +\n (this._group.name !== null ? this._group.name + \"-\" : \"\") +\n this._name,\n typeof(value) === \"undefined\" ? null : value\n );\n }\n }\n\n on(eventType, listener) {\n return this._events.on(eventType, listener);\n }\n\n off(eventType, listener) {\n return this._events.off(eventType, listener);\n }\n}\n"]} \ No newline at end of file diff --git a/public/2024/07/tdlm-data-dictionary/index_files/crosstalk/scss/crosstalk.scss b/public/2024/07/tdlm-data-dictionary/index_files/crosstalk/scss/crosstalk.scss new file mode 100644 index 0000000..3566561 --- /dev/null +++ b/public/2024/07/tdlm-data-dictionary/index_files/crosstalk/scss/crosstalk.scss @@ -0,0 +1,75 @@ +/* Adjust margins outwards, so column contents line up with the edges of the + parent of container-fluid. */ +.container-fluid.crosstalk-bscols { + margin-left: -30px; + margin-right: -30px; + white-space: normal; +} + +/* But don't adjust the margins outwards if we're directly under the body, + i.e. we were the top-level of something at the console. */ +body > .container-fluid.crosstalk-bscols { + margin-left: auto; + margin-right: auto; +} + +.crosstalk-input-checkboxgroup .crosstalk-options-group .crosstalk-options-column { + display: inline-block; + padding-right: 12px; + vertical-align: top; +} + +@media only screen and (max-width:480px) { + .crosstalk-input-checkboxgroup .crosstalk-options-group .crosstalk-options-column { + display: block; + padding-right: inherit; + } +} + +/* Relevant BS3 styles to make filter_checkbox() look reasonable without Bootstrap */ +.crosstalk-input { + margin-bottom: 15px; /* a la .form-group */ + .control-label { + margin-bottom: 0; + vertical-align: middle; + } + input[type="checkbox"] { + margin: 4px 0 0; + margin-top: 1px; + line-height: normal; + } + .checkbox { + position: relative; + display: block; + margin-top: 10px; + margin-bottom: 10px; + } + .checkbox > label{ + padding-left: 20px; + margin-bottom: 0; + font-weight: 400; + cursor: pointer; + } + .checkbox input[type="checkbox"], + .checkbox-inline input[type="checkbox"] { + position: absolute; + margin-top: 2px; + margin-left: -20px; + } + .checkbox + .checkbox { + margin-top: -5px; + } + .checkbox-inline { + position: relative; + display: inline-block; + padding-left: 20px; + margin-bottom: 0; + font-weight: 400; + vertical-align: middle; + cursor: pointer; + } + .checkbox-inline + .checkbox-inline { + margin-top: 0; + margin-left: 10px; + } +} diff --git a/public/2024/07/tdlm-data-dictionary/index_files/datatables-binding/datatables.js b/public/2024/07/tdlm-data-dictionary/index_files/datatables-binding/datatables.js new file mode 100644 index 0000000..765b53c --- /dev/null +++ b/public/2024/07/tdlm-data-dictionary/index_files/datatables-binding/datatables.js @@ -0,0 +1,1539 @@ +(function() { + +// some helper functions: using a global object DTWidget so that it can be used +// in JS() code, e.g. datatable(options = list(foo = JS('code'))); unlike R's +// dynamic scoping, when 'code' is eval'ed, JavaScript does not know objects +// from the "parent frame", e.g. JS('DTWidget') will not work unless it was made +// a global object +var DTWidget = {}; + +// 123456666.7890 -> 123,456,666.7890 +var markInterval = function(d, digits, interval, mark, decMark, precision) { + x = precision ? d.toPrecision(digits) : d.toFixed(digits); + if (!/^-?[\d.]+$/.test(x)) return x; + var xv = x.split('.'); + if (xv.length > 2) return x; // should have at most one decimal point + xv[0] = xv[0].replace(new RegExp('\\B(?=(\\d{' + interval + '})+(?!\\d))', 'g'), mark); + return xv.join(decMark); +}; + +DTWidget.formatCurrency = function(data, currency, digits, interval, mark, decMark, before, zeroPrint) { + var d = parseFloat(data); + if (isNaN(d)) return ''; + if (zeroPrint !== null && d === 0.0) return zeroPrint; + var res = markInterval(d, digits, interval, mark, decMark); + res = before ? (/^-/.test(res) ? '-' + currency + res.replace(/^-/, '') : currency + res) : + res + currency; + return res; +}; + +DTWidget.formatString = function(data, prefix, suffix) { + var d = data; + if (d === null) return ''; + return prefix + d + suffix; +}; + +DTWidget.formatPercentage = function(data, digits, interval, mark, decMark, zeroPrint) { + var d = parseFloat(data); + if (isNaN(d)) return ''; + if (zeroPrint !== null && d === 0.0) return zeroPrint; + return markInterval(d * 100, digits, interval, mark, decMark) + '%'; +}; + +DTWidget.formatRound = function(data, digits, interval, mark, decMark, zeroPrint) { + var d = parseFloat(data); + if (isNaN(d)) return ''; + if (zeroPrint !== null && d === 0.0) return zeroPrint; + return markInterval(d, digits, interval, mark, decMark); +}; + +DTWidget.formatSignif = function(data, digits, interval, mark, decMark, zeroPrint) { + var d = parseFloat(data); + if (isNaN(d)) return ''; + if (zeroPrint !== null && d === 0.0) return zeroPrint; + return markInterval(d, digits, interval, mark, decMark, true); +}; + +DTWidget.formatDate = function(data, method, params) { + var d = data; + if (d === null) return ''; + // (new Date('2015-10-28')).toDateString() may return 2015-10-27 because the + // actual time created could be like 'Tue Oct 27 2015 19:00:00 GMT-0500 (CDT)', + // i.e. the date-only string is treated as UTC time instead of local time + if ((method === 'toDateString' || method === 'toLocaleDateString') && /^\d{4,}\D\d{2}\D\d{2}$/.test(d)) { + d = d.split(/\D/); + d = new Date(d[0], d[1] - 1, d[2]); + } else { + d = new Date(d); + } + return d[method].apply(d, params); +}; + +window.DTWidget = DTWidget; + +// A helper function to update the properties of existing filters +var setFilterProps = function(td, props) { + // Update enabled/disabled state + var $input = $(td).find('input').first(); + var searchable = $input.data('searchable'); + $input.prop('disabled', !searchable || props.disabled); + + // Based on the filter type, set its new values + var type = td.getAttribute('data-type'); + if (['factor', 'logical'].includes(type)) { + // Reformat the new dropdown options for use with selectize + var new_vals = props.params.options.map(function(item) { + return { text: item, value: item }; + }); + + // Find the selectize object + var dropdown = $(td).find('.selectized').eq(0)[0].selectize; + + // Note the current values + var old_vals = dropdown.getValue(); + + // Remove the existing values + dropdown.clearOptions(); + + // Add the new options + dropdown.addOption(new_vals); + + // Preserve the existing values + dropdown.setValue(old_vals); + + } else if (['number', 'integer', 'date', 'time'].includes(type)) { + // Apply internal scaling to new limits. Updating scale not yet implemented. + var slider = $(td).find('.noUi-target').eq(0); + var scale = Math.pow(10, Math.max(0, +slider.data('scale') || 0)); + var new_vals = [props.params.min * scale, props.params.max * scale]; + + // Note what the new limits will be just for this filter + var new_lims = new_vals.slice(); + + // Determine the current values and limits + var old_vals = slider.val().map(Number); + var old_lims = slider.noUiSlider('options').range; + old_lims = [old_lims.min, old_lims.max]; + + // Preserve the current values if filters have been applied; otherwise, apply no filtering + if (old_vals[0] != old_lims[0]) { + new_vals[0] = Math.max(old_vals[0], new_vals[0]); + } + + if (old_vals[1] != old_lims[1]) { + new_vals[1] = Math.min(old_vals[1], new_vals[1]); + } + + // Update the endpoints of the slider + slider.noUiSlider({ + start: new_vals, + range: {'min': new_lims[0], 'max': new_lims[1]} + }, true); + } +}; + +var transposeArray2D = function(a) { + return a.length === 0 ? a : HTMLWidgets.transposeArray2D(a); +}; + +var crosstalkPluginsInstalled = false; + +function maybeInstallCrosstalkPlugins() { + if (crosstalkPluginsInstalled) + return; + crosstalkPluginsInstalled = true; + + $.fn.dataTable.ext.afnFiltering.push( + function(oSettings, aData, iDataIndex) { + var ctfilter = oSettings.nTable.ctfilter; + if (ctfilter && !ctfilter[iDataIndex]) + return false; + + var ctselect = oSettings.nTable.ctselect; + if (ctselect && !ctselect[iDataIndex]) + return false; + + return true; + } + ); +} + +HTMLWidgets.widget({ + name: "datatables", + type: "output", + renderOnNullValue: true, + initialize: function(el, width, height) { + // in order that the type=number inputs return a number + $.valHooks.number = { + get: function(el) { + var value = parseFloat(el.value); + return isNaN(value) ? "" : value; + } + }; + $(el).html(' '); + return { + data: null, + ctfilterHandle: new crosstalk.FilterHandle(), + ctfilterSubscription: null, + ctselectHandle: new crosstalk.SelectionHandle(), + ctselectSubscription: null + }; + }, + renderValue: function(el, data, instance) { + if (el.offsetWidth === 0 || el.offsetHeight === 0) { + instance.data = data; + return; + } + instance.data = null; + var $el = $(el); + $el.empty(); + + if (data === null) { + $el.append(' '); + // clear previous Shiny inputs (if any) + for (var i in instance.clearInputs) instance.clearInputs[i](); + instance.clearInputs = {}; + return; + } + + var crosstalkOptions = data.crosstalkOptions; + if (!crosstalkOptions) crosstalkOptions = { + 'key': null, 'group': null + }; + if (crosstalkOptions.group) { + maybeInstallCrosstalkPlugins(); + instance.ctfilterHandle.setGroup(crosstalkOptions.group); + instance.ctselectHandle.setGroup(crosstalkOptions.group); + } + + // if we are in the viewer then we always want to fillContainer and + // and autoHideNavigation (unless the user has explicitly set these) + if (window.HTMLWidgets.viewerMode) { + if (!data.hasOwnProperty("fillContainer")) + data.fillContainer = true; + if (!data.hasOwnProperty("autoHideNavigation")) + data.autoHideNavigation = true; + } + + // propagate fillContainer to instance (so we have it in resize) + instance.fillContainer = data.fillContainer; + + var cells = data.data; + + if (cells instanceof Array) cells = transposeArray2D(cells); + + $el.append(data.container); + var $table = $el.find('table'); + if (data.class) $table.addClass(data.class); + if (data.caption) $table.prepend(data.caption); + + if (!data.selection) data.selection = { + mode: 'none', selected: null, target: 'row', selectable: null + }; + if (HTMLWidgets.shinyMode && data.selection.mode !== 'none' && + data.selection.target === 'row+column') { + if ($table.children('tfoot').length === 0) { + $table.append($('')); + $table.find('thead tr').clone().appendTo($table.find('tfoot')); + } + } + + // column filters + var filterRow; + switch (data.filter) { + case 'top': + $table.children('thead').append(data.filterHTML); + filterRow = $table.find('thead tr:last td'); + break; + case 'bottom': + if ($table.children('tfoot').length === 0) { + $table.append($('')); + } + $table.children('tfoot').prepend(data.filterHTML); + filterRow = $table.find('tfoot tr:first td'); + break; + } + + var options = { searchDelay: 1000 }; + if (cells !== null) $.extend(options, { + data: cells + }); + + // options for fillContainer + var bootstrapActive = typeof($.fn.popover) != 'undefined'; + if (instance.fillContainer) { + + // force scrollX/scrollY and turn off autoWidth + options.scrollX = true; + options.scrollY = "100px"; // can be any value, we'll adjust below + + // if we aren't paginating then move around the info/filter controls + // to save space at the bottom and rephrase the info callback + if (data.options.paging === false) { + + // we know how to do this cleanly for bootstrap, not so much + // for other themes/layouts + if (bootstrapActive) { + options.dom = "<'row'<'col-sm-4'i><'col-sm-8'f>>" + + "<'row'<'col-sm-12'tr>>"; + } + + options.fnInfoCallback = function(oSettings, iStart, iEnd, + iMax, iTotal, sPre) { + return Number(iTotal).toLocaleString() + " records"; + }; + } + } + + // auto hide navigation if requested + // Note, this only works on client-side processing mode as on server-side, + // cells (data.data) is null; In addition, we require the pageLength option + // being provided explicitly to enable this. Despite we may be able to deduce + // the default value of pageLength, it may complicate things so we'd rather + // put this responsiblity to users and warn them on the R side. + if (data.autoHideNavigation === true && data.options.paging !== false) { + // strip all nav if length >= cells + if ((cells instanceof Array) && data.options.pageLength >= cells.length) + options.dom = bootstrapActive ? "<'row'<'col-sm-12'tr>>" : "t"; + // alternatively lean things out for flexdashboard mobile portrait + else if (bootstrapActive && window.FlexDashboard && window.FlexDashboard.isMobilePhone()) + options.dom = "<'row'<'col-sm-12'f>>" + + "<'row'<'col-sm-12'tr>>" + + "<'row'<'col-sm-12'p>>"; + } + + $.extend(true, options, data.options || {}); + + var searchCols = options.searchCols; + if (searchCols) { + searchCols = searchCols.map(function(x) { + return x === null ? '' : x.search; + }); + // FIXME: this means I don't respect the escapeRegex setting + delete options.searchCols; + } + + // server-side processing? + var server = options.serverSide === true; + + // use the dataSrc function to pre-process JSON data returned from R + var DT_rows_all = [], DT_rows_current = []; + if (server && HTMLWidgets.shinyMode && typeof options.ajax === 'object' && + /^session\/[\da-z]+\/dataobj/.test(options.ajax.url) && !options.ajax.dataSrc) { + options.ajax.dataSrc = function(json) { + DT_rows_all = $.makeArray(json.DT_rows_all); + DT_rows_current = $.makeArray(json.DT_rows_current); + var data = json.data; + if (!colReorderEnabled()) return data; + var table = $table.DataTable(), order = table.colReorder.order(), flag = true, i, j, row; + for (i = 0; i < order.length; ++i) if (order[i] !== i) flag = false; + if (flag) return data; + for (i = 0; i < data.length; ++i) { + row = data[i].slice(); + for (j = 0; j < order.length; ++j) data[i][j] = row[order[j]]; + } + return data; + }; + } + + var thiz = this; + if (instance.fillContainer) $table.on('init.dt', function(e) { + thiz.fillAvailableHeight(el, $(el).innerHeight()); + }); + // If the page contains serveral datatables and one of which enables colReorder, + // the table.colReorder.order() function will exist but throws error when called. + // So it seems like the only way to know if colReorder is enabled or not is to + // check the options. + var colReorderEnabled = function() { return "colReorder" in options; }; + var table = $table.DataTable(options); + $el.data('datatable', table); + + if ('rowGroup' in options) { + // Maintain RowGroup dataSrc when columns are reordered (#1109) + table.on('column-reorder', function(e, settings, details) { + var oldDataSrc = table.rowGroup().dataSrc(); + var newDataSrc = details.mapping[oldDataSrc]; + table.rowGroup().dataSrc(newDataSrc); + }); + } + + // Unregister previous Crosstalk event subscriptions, if they exist + if (instance.ctfilterSubscription) { + instance.ctfilterHandle.off("change", instance.ctfilterSubscription); + instance.ctfilterSubscription = null; + } + if (instance.ctselectSubscription) { + instance.ctselectHandle.off("change", instance.ctselectSubscription); + instance.ctselectSubscription = null; + } + + if (!crosstalkOptions.group) { + $table[0].ctfilter = null; + $table[0].ctselect = null; + } else { + var key = crosstalkOptions.key; + function keysToMatches(keys) { + if (!keys) { + return null; + } else { + var selectedKeys = {}; + for (var i = 0; i < keys.length; i++) { + selectedKeys[keys[i]] = true; + } + var matches = {}; + for (var j = 0; j < key.length; j++) { + if (selectedKeys[key[j]]) + matches[j] = true; + } + return matches; + } + } + + function applyCrosstalkFilter(e) { + $table[0].ctfilter = keysToMatches(e.value); + table.draw(); + } + instance.ctfilterSubscription = instance.ctfilterHandle.on("change", applyCrosstalkFilter); + applyCrosstalkFilter({value: instance.ctfilterHandle.filteredKeys}); + + function applyCrosstalkSelection(e) { + if (e.sender !== instance.ctselectHandle) { + table + .rows('.' + selClass, {search: 'applied'}) + .nodes() + .to$() + .removeClass(selClass); + if (selectedRows) + changeInput('rows_selected', selectedRows(), void 0, true); + } + + if (e.sender !== instance.ctselectHandle && e.value && e.value.length) { + var matches = keysToMatches(e.value); + + // persistent selection with plotly (& leaflet) + var ctOpts = crosstalk.var("plotlyCrosstalkOpts").get() || {}; + if (ctOpts.persistent === true) { + var matches = $.extend(matches, $table[0].ctselect); + } + + $table[0].ctselect = matches; + table.draw(); + } else { + if ($table[0].ctselect) { + $table[0].ctselect = null; + table.draw(); + } + } + } + instance.ctselectSubscription = instance.ctselectHandle.on("change", applyCrosstalkSelection); + // TODO: This next line doesn't seem to work when renderDataTable is used + applyCrosstalkSelection({value: instance.ctselectHandle.value}); + } + + var inArray = function(val, array) { + return $.inArray(val, $.makeArray(array)) > -1; + }; + + // search the i-th column + var searchColumn = function(i, value) { + var regex = false, ci = true; + if (options.search) { + regex = options.search.regex, + ci = options.search.caseInsensitive !== false; + } + // need to transpose the column index when colReorder is enabled + if (table.colReorder) i = table.colReorder.transpose(i); + return table.column(i).search(value, regex, !regex, ci); + }; + + if (data.filter !== 'none') { + if (!data.hasOwnProperty('filterSettings')) data.filterSettings = {}; + + filterRow.each(function(i, td) { + + var $td = $(td), type = $td.data('type'), filter; + var $input = $td.children('div').first().children('input'); + var disabled = $input.prop('disabled'); + var searchable = table.settings()[0].aoColumns[i].bSearchable; + $input.prop('disabled', !searchable || disabled); + $input.data('searchable', searchable); // for updating later + $input.on('input blur', function() { + $input.next('span').toggle(Boolean($input.val())); + }); + // Bootstrap sets pointer-events to none and we won't be able to click + // the clear button + $input.next('span').css('pointer-events', 'auto').hide().click(function() { + $(this).hide().prev('input').val('').trigger('input').focus(); + }); + var searchCol; // search string for this column + if (searchCols && searchCols[i]) { + searchCol = searchCols[i]; + $input.val(searchCol).trigger('input'); + } + var $x = $td.children('div').last(); + + // remove the overflow: hidden attribute of the scrollHead + // (otherwise the scrolling table body obscures the filters) + // The workaround and the discussion from + // https://github.com/rstudio/DT/issues/554#issuecomment-518007347 + // Otherwise the filter selection will not be anchored to the values + // when the columns number is many and scrollX is enabled. + var scrollHead = $(el).find('.dataTables_scrollHead,.dataTables_scrollFoot'); + var cssOverflowHead = scrollHead.css('overflow'); + var scrollBody = $(el).find('.dataTables_scrollBody'); + var cssOverflowBody = scrollBody.css('overflow'); + var scrollTable = $(el).find('.dataTables_scroll'); + var cssOverflowTable = scrollTable.css('overflow'); + if (cssOverflowHead === 'hidden') { + $x.on('show hide', function(e) { + if (e.type === 'show') { + scrollHead.css('overflow', 'visible'); + scrollBody.css('overflow', 'visible'); + scrollTable.css('overflow-x', 'scroll'); + } else { + scrollHead.css('overflow', cssOverflowHead); + scrollBody.css('overflow', cssOverflowBody); + scrollTable.css('overflow-x', cssOverflowTable); + } + }); + $x.css('z-index', 25); + } + + if (inArray(type, ['factor', 'logical'])) { + $input.on({ + click: function() { + $input.parent().hide(); $x.show().trigger('show'); filter[0].selectize.focus(); + }, + input: function() { + var v1 = JSON.stringify(filter[0].selectize.getValue()), v2 = $input.val(); + if (v1 === '[]') v1 = ''; + if (v1 !== v2) filter[0].selectize.setValue(v2 === '' ? [] : JSON.parse(v2)); + } + }); + var $input2 = $x.children('select'); + filter = $input2.selectize($.extend({ + options: $input2.data('options').map(function(v, i) { + return ({text: v, value: v}); + }), + plugins: ['remove_button'], + hideSelected: true, + onChange: function(value) { + if (value === null) value = []; // compatibility with jQuery 3.0 + $input.val(value.length ? JSON.stringify(value) : ''); + if (value.length) $input.trigger('input'); + $input.attr('title', $input.val()); + if (server) { + searchColumn(i, value.length ? JSON.stringify(value) : '').draw(); + return; + } + // turn off filter if nothing selected + $td.data('filter', value.length > 0); + table.draw(); // redraw table, and filters will be applied + } + }, data.filterSettings.select)); + filter[0].selectize.on('blur', function() { + $x.hide().trigger('hide'); $input.parent().show(); $input.trigger('blur'); + }); + filter.next('div').css('margin-bottom', 'auto'); + } else if (type === 'character') { + var fun = function() { + searchColumn(i, $input.val()).draw(); + }; + // throttle searching for server-side processing + var throttledFun = $.fn.dataTable.util.throttle(fun, options.searchDelay); + $input.on('input', function(e, immediate) { + // always bypass throttling when immediate = true (via the updateSearch method) + (immediate || !server) ? fun() : throttledFun(); + }); + } else if (inArray(type, ['number', 'integer', 'date', 'time'])) { + var $x0 = $x; + $x = $x0.children('div').first(); + $x0.css({ + 'background-color': '#fff', + 'border': '1px #ddd solid', + 'border-radius': '4px', + 'padding': data.vertical ? '35px 20px': '20px 20px 10px 20px' + }); + var $spans = $x0.children('span').css({ + 'margin-top': data.vertical ? '0' : '10px', + 'white-space': 'nowrap' + }); + var $span1 = $spans.first(), $span2 = $spans.last(); + var r1 = +$x.data('min'), r2 = +$x.data('max'); + // when the numbers are too small or have many decimal places, the + // slider may have numeric precision problems (#150) + var scale = Math.pow(10, Math.max(0, +$x.data('scale') || 0)); + r1 = Math.round(r1 * scale); r2 = Math.round(r2 * scale); + var scaleBack = function(x, scale) { + if (scale === 1) return x; + var d = Math.round(Math.log(scale) / Math.log(10)); + // to avoid problems like 3.423/100 -> 0.034230000000000003 + return (x / scale).toFixed(d); + }; + var slider_min = function() { + return filter.noUiSlider('options').range.min; + }; + var slider_max = function() { + return filter.noUiSlider('options').range.max; + }; + $input.on({ + focus: function() { + $x0.show().trigger('show'); + // first, make sure the slider div leaves at least 20px between + // the two (slider value) span's + $x0.width(Math.max(160, $span1.outerWidth() + $span2.outerWidth() + 20)); + // then, if the input is really wide or slider is vertical, + // make the slider the same width as the input + if ($x0.outerWidth() < $input.outerWidth() || data.vertical) { + $x0.outerWidth($input.outerWidth()); + } + // make sure the slider div does not reach beyond the right margin + if ($(window).width() < $x0.offset().left + $x0.width()) { + $x0.offset({ + 'left': $input.offset().left + $input.outerWidth() - $x0.outerWidth() + }); + } + }, + blur: function() { + $x0.hide().trigger('hide'); + }, + input: function() { + if ($input.val() === '') filter.val([slider_min(), slider_max()]); + }, + change: function() { + var v = $input.val().replace(/\s/g, ''); + if (v === '') return; + v = v.split('...'); + if (v.length !== 2) { + $input.parent().addClass('has-error'); + return; + } + if (v[0] === '') v[0] = slider_min(); + if (v[1] === '') v[1] = slider_max(); + $input.parent().removeClass('has-error'); + // treat date as UTC time at midnight + var strTime = function(x) { + var s = type === 'date' ? 'T00:00:00Z' : ''; + var t = new Date(x + s).getTime(); + // add 10 minutes to date since it does not hurt the date, and + // it helps avoid the tricky floating point arithmetic problems, + // e.g. sometimes the date may be a few milliseconds earlier + // than the midnight due to precision problems in noUiSlider + return type === 'date' ? t + 3600000 : t; + }; + if (inArray(type, ['date', 'time'])) { + v[0] = strTime(v[0]); + v[1] = strTime(v[1]); + } + if (v[0] != slider_min()) v[0] *= scale; + if (v[1] != slider_max()) v[1] *= scale; + filter.val(v); + } + }); + var formatDate = function(d) { + d = scaleBack(d, scale); + if (type === 'number') return d; + if (type === 'integer') return parseInt(d); + var x = new Date(+d); + if (type === 'date') { + var pad0 = function(x) { + return ('0' + x).substr(-2, 2); + }; + return x.getUTCFullYear() + '-' + pad0(1 + x.getUTCMonth()) + + '-' + pad0(x.getUTCDate()); + } else { + return x.toISOString(); + } + }; + var opts = type === 'date' ? { step: 60 * 60 * 1000 } : + type === 'integer' ? { step: 1 } : {}; + + opts.orientation = data.vertical ? 'vertical': 'horizontal'; + opts.direction = data.vertical ? 'rtl': 'ltr'; + + filter = $x.noUiSlider($.extend({ + start: [r1, r2], + range: {min: r1, max: r2}, + connect: true + }, opts, data.filterSettings.slider)); + if (scale > 1) (function() { + var t1 = r1, t2 = r2; + var val = filter.val(); + while (val[0] > r1 || val[1] < r2) { + if (val[0] > r1) { + t1 -= val[0] - r1; + } + if (val[1] < r2) { + t2 += r2 - val[1]; + } + filter = $x.noUiSlider($.extend({ + start: [t1, t2], + range: {min: t1, max: t2}, + connect: true + }, opts, data.filterSettings.slider), true); + val = filter.val(); + } + r1 = t1; r2 = t2; + })(); + // format with active column renderer, if defined + var colDef = data.options.columnDefs.find(function(def) { + return (def.targets === i || inArray(i, def.targets)) && 'render' in def; + }); + var updateSliderText = function(v1, v2) { + // we only know how to use function renderers + if (colDef && typeof colDef.render === 'function') { + var restore = function(v) { + v = scaleBack(v, scale); + return inArray(type, ['date', 'time']) ? new Date(+v) : v; + } + $span1.text(colDef.render(restore(v1), 'display')); + $span2.text(colDef.render(restore(v2), 'display')); + } else { + $span1.text(formatDate(v1)); + $span2.text(formatDate(v2)); + } + }; + updateSliderText(r1, r2); + var updateSlider = function(e) { + var val = filter.val(); + // turn off filter if in full range + $td.data('filter', val[0] > slider_min() || val[1] < slider_max()); + var v1 = formatDate(val[0]), v2 = formatDate(val[1]), ival; + if ($td.data('filter')) { + ival = v1 + ' ... ' + v2; + $input.attr('title', ival).val(ival).trigger('input'); + } else { + $input.attr('title', '').val(''); + } + updateSliderText(val[0], val[1]); + if (e.type === 'slide') return; // no searching when sliding only + if (server) { + searchColumn(i, $td.data('filter') ? ival : '').draw(); + return; + } + table.draw(); + }; + filter.on({ + set: updateSlider, + slide: updateSlider + }); + } + + // server-side processing will be handled by R (or whatever server + // language you use); the following code is only needed for client-side + // processing + if (server) { + // if a search string has been pre-set, search now + if (searchCol) $input.trigger('input').trigger('change'); + return; + } + + var customFilter = function(settings, data, dataIndex) { + // there is no way to attach a search function to a specific table, + // and we need to make sure a global search function is not applied to + // all tables (i.e. a range filter in a previous table should not be + // applied to the current table); we use the settings object to + // determine if we want to perform searching on the current table, + // since settings.sTableId will be different to different tables + if (table.settings()[0] !== settings) return true; + // no filter on this column or no need to filter this column + if (typeof filter === 'undefined' || !$td.data('filter')) return true; + + var r = filter.val(), v, r0, r1; + var i_data = function(i) { + if (!colReorderEnabled()) return i; + var order = table.colReorder.order(), k; + for (k = 0; k < order.length; ++k) if (order[k] === i) return k; + return i; // in theory it will never be here... + } + v = data[i_data(i)]; + if (type === 'number' || type === 'integer') { + v = parseFloat(v); + // how to handle NaN? currently exclude these rows + if (isNaN(v)) return(false); + r0 = parseFloat(scaleBack(r[0], scale)) + r1 = parseFloat(scaleBack(r[1], scale)); + if (v >= r0 && v <= r1) return true; + } else if (type === 'date' || type === 'time') { + v = new Date(v); + r0 = new Date(r[0] / scale); r1 = new Date(r[1] / scale); + if (v >= r0 && v <= r1) return true; + } else if (type === 'factor') { + if (r.length === 0 || inArray(v, r)) return true; + } else if (type === 'logical') { + if (r.length === 0) return true; + if (inArray(v === '' ? 'na' : v, r)) return true; + } + return false; + }; + + $.fn.dataTable.ext.search.push(customFilter); + + // search for the preset search strings if it is non-empty + if (searchCol) $input.trigger('input').trigger('change'); + + }); + + } + + // highlight search keywords + var highlight = function() { + var body = $(table.table().body()); + // removing the old highlighting first + body.unhighlight(); + + // don't highlight the "not found" row, so we get the rows using the api + if (table.rows({ filter: 'applied' }).data().length === 0) return; + // highlight global search keywords + body.highlight($.trim(table.search()).split(/\s+/)); + // then highlight keywords from individual column filters + if (filterRow) filterRow.each(function(i, td) { + var $td = $(td), type = $td.data('type'); + if (type !== 'character') return; + var $input = $td.children('div').first().children('input'); + var column = table.column(i).nodes().to$(), + val = $.trim($input.val()); + if (type !== 'character' || val === '') return; + column.highlight(val.split(/\s+/)); + }); + }; + + if (options.searchHighlight) { + table + .on('draw.dt.dth column-visibility.dt.dth column-reorder.dt.dth', highlight) + .on('destroy', function() { + // remove event handler + table.off('draw.dt.dth column-visibility.dt.dth column-reorder.dt.dth'); + }); + + // Set the option for escaping regex characters in our search string. This will be used + // for all future matching. + jQuery.fn.highlight.options.escapeRegex = (!options.search || !options.search.regex); + + // initial highlight for state saved conditions and initial states + highlight(); + } + + // run the callback function on the table instance + if (typeof data.callback === 'function') data.callback(table); + + // double click to edit the cell, row, column, or all cells + if (data.editable) table.on('dblclick.dt', 'tbody td', function(e) { + // only bring up the editor when the cell itself is dbclicked, and ignore + // other dbclick events bubbled up (e.g. from the ) + if (e.target !== this) return; + var target = [], immediate = false; + switch (data.editable.target) { + case 'cell': + target = [this]; + immediate = true; // edit will take effect immediately + break; + case 'row': + target = table.cells(table.cell(this).index().row, '*').nodes(); + break; + case 'column': + target = table.cells('*', table.cell(this).index().column).nodes(); + break; + case 'all': + target = table.cells().nodes(); + break; + default: + throw 'The editable parameter must be "cell", "row", "column", or "all"'; + } + var disableCols = data.editable.disable ? data.editable.disable.columns : null; + var numericCols = data.editable.numeric; + var areaCols = data.editable.area; + var dateCols = data.editable.date; + for (var i = 0; i < target.length; i++) { + (function(cell, current) { + var $cell = $(cell), html = $cell.html(); + var _cell = table.cell(cell), value = _cell.data(), index = _cell.index().column; + var $input; + if (inArray(index, numericCols)) { + $input = $(''); + } else if (inArray(index, areaCols)) { + $input = $(''); + } else if (inArray(index, dateCols)) { + $input = $(''); + } else { + $input = $(''); + } + if (!immediate) { + $cell.data('input', $input).data('html', html); + $input.attr('title', 'Hit Ctrl+Enter to finish editing, or Esc to cancel'); + } + $input.val(value); + if (inArray(index, disableCols)) { + $input.attr('readonly', '').css('filter', 'invert(25%)'); + } + $cell.empty().append($input); + if (cell === current) $input.focus(); + $input.css('width', '100%'); + + if (immediate) $input.on('blur', function(e) { + var valueNew = $input.val(); + if (valueNew !== value) { + _cell.data(valueNew); + if (HTMLWidgets.shinyMode) { + changeInput('cell_edit', [cellInfo(cell)], 'DT.cellInfo', null, {priority: 'event'}); + } + // for server-side processing, users have to call replaceData() to update the table + if (!server) table.draw(false); + } else { + $cell.html(html); + } + }).on('keyup', function(e) { + // hit Escape to cancel editing + if (e.keyCode === 27) $input.trigger('blur'); + }); + + // bulk edit (row, column, or all) + if (!immediate) $input.on('keyup', function(e) { + var removeInput = function($cell, restore) { + $cell.data('input').remove(); + if (restore) $cell.html($cell.data('html')); + } + if (e.keyCode === 27) { + for (var i = 0; i < target.length; i++) { + removeInput($(target[i]), true); + } + } else if (e.keyCode === 13 && e.ctrlKey) { + // Ctrl + Enter + var cell, $cell, _cell, cellData = []; + for (var i = 0; i < target.length; i++) { + cell = target[i]; $cell = $(cell); _cell = table.cell(cell); + _cell.data($cell.data('input').val()); + HTMLWidgets.shinyMode && cellData.push(cellInfo(cell)); + removeInput($cell, false); + } + if (HTMLWidgets.shinyMode) { + changeInput('cell_edit', cellData, 'DT.cellInfo', null, {priority: "event"}); + } + if (!server) table.draw(false); + } + }); + })(target[i], this); + } + }); + + // interaction with shiny + if (!HTMLWidgets.shinyMode && !crosstalkOptions.group) return; + + var methods = {}; + var shinyData = {}; + + methods.updateCaption = function(caption) { + if (!caption) return; + $table.children('caption').replaceWith(caption); + } + + // register clear functions to remove input values when the table is removed + instance.clearInputs = {}; + + var changeInput = function(id, value, type, noCrosstalk, opts) { + var event = id; + id = el.id + '_' + id; + if (type) id = id + ':' + type; + // do not update if the new value is the same as old value + if (event !== 'cell_edit' && !/_clicked$/.test(event) && shinyData.hasOwnProperty(id) && shinyData[id] === JSON.stringify(value)) + return; + shinyData[id] = JSON.stringify(value); + if (HTMLWidgets.shinyMode && Shiny.setInputValue) { + Shiny.setInputValue(id, value, opts); + if (!instance.clearInputs[id]) instance.clearInputs[id] = function() { + Shiny.setInputValue(id, null); + } + } + + // HACK + if (event === "rows_selected" && !noCrosstalk) { + if (crosstalkOptions.group) { + var keys = crosstalkOptions.key; + var selectedKeys = null; + if (value) { + selectedKeys = []; + for (var i = 0; i < value.length; i++) { + // The value array's contents use 1-based row numbers, so we must + // convert to 0-based before indexing into the keys array. + selectedKeys.push(keys[value[i] - 1]); + } + } + instance.ctselectHandle.set(selectedKeys); + } + } + }; + + var addOne = function(x) { + return x.map(function(i) { return 1 + i; }); + }; + + var unique = function(x) { + var ux = []; + $.each(x, function(i, el){ + if ($.inArray(el, ux) === -1) ux.push(el); + }); + return ux; + } + + // change the row index of a cell + var tweakCellIndex = function(cell) { + var info = cell.index(); + // some cell may not be valid. e.g, #759 + // when using the RowGroup extension, datatables will + // generate the row label and the cells are not part of + // the data thus contain no row/col info + if (info === undefined) + return {row: null, col: null}; + if (server) { + info.row = DT_rows_current[info.row]; + } else { + info.row += 1; + } + return {row: info.row, col: info.column}; + } + + var cleanSelectedValues = function() { + changeInput('rows_selected', []); + changeInput('columns_selected', []); + changeInput('cells_selected', transposeArray2D([]), 'shiny.matrix'); + } + // #828 we should clean the selection on the server-side when the table reloads + cleanSelectedValues(); + + // a flag to indicates if select extension is initialized or not + var flagSelectExt = table.settings()[0]._select !== undefined; + // the Select extension should only be used in the client mode and + // when the selection.mode is set to none + if (data.selection.mode === 'none' && !server && flagSelectExt) { + var updateRowsSelected = function() { + var rows = table.rows({selected: true}); + var selected = []; + $.each(rows.indexes().toArray(), function(i, v) { + selected.push(v + 1); + }); + changeInput('rows_selected', selected); + } + var updateColsSelected = function() { + var columns = table.columns({selected: true}); + changeInput('columns_selected', columns.indexes().toArray()); + } + var updateCellsSelected = function() { + var cells = table.cells({selected: true}); + var selected = []; + cells.every(function() { + var row = this.index().row; + var col = this.index().column; + selected = selected.concat([[row + 1, col]]); + }); + changeInput('cells_selected', transposeArray2D(selected), 'shiny.matrix'); + } + table.on('select deselect', function(e, dt, type, indexes) { + updateRowsSelected(); + updateColsSelected(); + updateCellsSelected(); + }) + updateRowsSelected(); + updateColsSelected(); + updateCellsSelected(); + } + + var selMode = data.selection.mode, selTarget = data.selection.target; + var selDisable = data.selection.selectable === false; + if (inArray(selMode, ['single', 'multiple'])) { + var selClass = inArray(data.style, ['bootstrap', 'bootstrap4']) ? 'active' : 'selected'; + // selected1: row indices; selected2: column indices + var initSel = function(x) { + if (x === null || typeof x === 'boolean' || selTarget === 'cell') { + return {rows: [], cols: []}; + } else if (selTarget === 'row') { + return {rows: $.makeArray(x), cols: []}; + } else if (selTarget === 'column') { + return {rows: [], cols: $.makeArray(x)}; + } else if (selTarget === 'row+column') { + return {rows: $.makeArray(x.rows), cols: $.makeArray(x.cols)}; + } + } + var selected = data.selection.selected; + var selected1 = initSel(selected).rows, selected2 = initSel(selected).cols; + // selectable should contain either all positive or all non-positive values, not both + // positive values indicate "selectable" while non-positive values means "nonselectable" + // the assertion is performed on R side. (only column indicides could be zero which indicates + // the row name) + var selectable = data.selection.selectable; + var selectable1 = initSel(selectable).rows, selectable2 = initSel(selectable).cols; + + // After users reorder the rows or filter the table, we cannot use the table index + // directly. Instead, we need this function to find out the rows between the two clicks. + // If user filter the table again between the start click and the end click, the behavior + // would be undefined, but it should not be a problem. + var shiftSelRowsIndex = function(start, end) { + var indexes = server ? DT_rows_all : table.rows({ search: 'applied' }).indexes().toArray(); + start = indexes.indexOf(start); end = indexes.indexOf(end); + // if start is larger than end, we need to swap + if (start > end) { + var tmp = end; end = start; start = tmp; + } + return indexes.slice(start, end + 1); + } + + var serverRowIndex = function(clientRowIndex) { + return server ? DT_rows_current[clientRowIndex] : clientRowIndex + 1; + } + + // row, column, or cell selection + var lastClickedRow; + if (inArray(selTarget, ['row', 'row+column'])) { + // Get the current selected rows. It will also + // update the selected1's value based on the current row selection state + // Note we can't put this function inside selectRows() directly, + // the reason is method.selectRows() will override selected1's value but this + // function will add rows to selected1 (keep the existing selection), which is + // inconsistent with column and cell selection. + var selectedRows = function() { + var rows = table.rows('.' + selClass); + var idx = rows.indexes().toArray(); + if (!server) { + selected1 = addOne(idx); + return selected1; + } + idx = idx.map(function(i) { + return DT_rows_current[i]; + }); + selected1 = selMode === 'multiple' ? unique(selected1.concat(idx)) : idx; + return selected1; + } + // Change selected1's value based on selectable1, then refresh the row state + var onlyKeepSelectableRows = function() { + if (selDisable) { // users can't select; useful when only want backend select + selected1 = []; + return; + } + if (selectable1.length === 0) return; + var nonselectable = selectable1[0] <= 0; + if (nonselectable) { + // should make selectable1 positive + selected1 = $(selected1).not(selectable1.map(function(i) { return -i; })).get(); + } else { + selected1 = $(selected1).filter(selectable1).get(); + } + } + // Change selected1's value based on selectable1, then + // refresh the row selection state according to values in selected1 + var selectRows = function(ignoreSelectable) { + if (!ignoreSelectable) onlyKeepSelectableRows(); + table.$('tr.' + selClass).removeClass(selClass); + if (selected1.length === 0) return; + if (server) { + table.rows({page: 'current'}).every(function() { + if (inArray(DT_rows_current[this.index()], selected1)) { + $(this.node()).addClass(selClass); + } + }); + } else { + var selected0 = selected1.map(function(i) { return i - 1; }); + $(table.rows(selected0).nodes()).addClass(selClass); + } + } + table.on('mousedown.dt', 'tbody tr', function(e) { + var $this = $(this), thisRow = table.row(this); + if (selMode === 'multiple') { + if (e.shiftKey && lastClickedRow !== undefined) { + // select or de-select depends on the last clicked row's status + var flagSel = !$this.hasClass(selClass); + var crtClickedRow = serverRowIndex(thisRow.index()); + if (server) { + var rowsIndex = shiftSelRowsIndex(lastClickedRow, crtClickedRow); + // update current page's selClass + rowsIndex.map(function(i) { + var rowIndex = DT_rows_current.indexOf(i); + if (rowIndex >= 0) { + var row = table.row(rowIndex).nodes().to$(); + var flagRowSel = !row.hasClass(selClass); + if (flagSel === flagRowSel) row.toggleClass(selClass); + } + }); + // update selected1 + if (flagSel) { + selected1 = unique(selected1.concat(rowsIndex)); + } else { + selected1 = selected1.filter(function(index) { + return !inArray(index, rowsIndex); + }); + } + } else { + // js starts from 0 + shiftSelRowsIndex(lastClickedRow - 1, crtClickedRow - 1).map(function(value) { + var row = table.row(value).nodes().to$(); + var flagRowSel = !row.hasClass(selClass); + if (flagSel === flagRowSel) row.toggleClass(selClass); + }); + } + e.preventDefault(); + } else { + $this.toggleClass(selClass); + } + } else { + if ($this.hasClass(selClass)) { + $this.removeClass(selClass); + } else { + table.$('tr.' + selClass).removeClass(selClass); + $this.addClass(selClass); + } + } + if (server && !$this.hasClass(selClass)) { + var id = DT_rows_current[thisRow.index()]; + // remove id from selected1 since its class .selected has been removed + if (inArray(id, selected1)) selected1.splice($.inArray(id, selected1), 1); + } + selectedRows(); // update selected1's value based on selClass + selectRows(false); // only keep the selectable rows + changeInput('rows_selected', selected1); + changeInput('row_last_clicked', serverRowIndex(thisRow.index()), null, null, {priority: 'event'}); + lastClickedRow = serverRowIndex(thisRow.index()); + }); + selectRows(false); // in case users have specified pre-selected rows + // restore selected rows after the table is redrawn (e.g. sort/search/page); + // client-side tables will preserve the selections automatically; for + // server-side tables, we have to *real* row indices are in `selected1` + changeInput('rows_selected', selected1); + if (server) table.on('draw.dt', function(e) { selectRows(false); }); + methods.selectRows = function(selected, ignoreSelectable) { + selected1 = $.makeArray(selected); + selectRows(ignoreSelectable); + changeInput('rows_selected', selected1); + } + } + + if (inArray(selTarget, ['column', 'row+column'])) { + if (selTarget === 'row+column') { + $(table.columns().footer()).css('cursor', 'pointer'); + } + // update selected2's value based on selectable2 + var onlyKeepSelectableCols = function() { + if (selDisable) { // users can't select; useful when only want backend select + selected2 = []; + return; + } + if (selectable2.length === 0) return; + var nonselectable = selectable2[0] <= 0; + if (nonselectable) { + // need to make selectable2 positive + selected2 = $(selected2).not(selectable2.map(function(i) { return -i; })).get(); + } else { + selected2 = $(selected2).filter(selectable2).get(); + } + } + // update selected2 and then + // refresh the col selection state according to values in selected2 + var selectCols = function(ignoreSelectable) { + if (!ignoreSelectable) onlyKeepSelectableCols(); + // if selected2 is not a valide index (e.g., larger than the column number) + // table.columns(selected2) will fail and result in a blank table + // this is different from the table.rows(), where the out-of-range indexes + // doesn't affect at all + selected2 = $(selected2).filter(table.columns().indexes()).get(); + table.columns().nodes().flatten().to$().removeClass(selClass); + if (selected2.length > 0) + table.columns(selected2).nodes().flatten().to$().addClass(selClass); + } + var callback = function() { + var colIdx = selTarget === 'column' ? table.cell(this).index().column : + $.inArray(this, table.columns().footer()), + thisCol = $(table.column(colIdx).nodes()); + if (colIdx === -1) return; + if (thisCol.hasClass(selClass)) { + thisCol.removeClass(selClass); + selected2.splice($.inArray(colIdx, selected2), 1); + } else { + if (selMode === 'single') $(table.cells().nodes()).removeClass(selClass); + thisCol.addClass(selClass); + selected2 = selMode === 'single' ? [colIdx] : unique(selected2.concat([colIdx])); + } + selectCols(false); // update selected2 based on selectable + changeInput('columns_selected', selected2); + } + if (selTarget === 'column') { + $(table.table().body()).on('click.dt', 'td', callback); + } else { + $(table.table().footer()).on('click.dt', 'tr th', callback); + } + selectCols(false); // in case users have specified pre-selected columns + changeInput('columns_selected', selected2); + if (server) table.on('draw.dt', function(e) { selectCols(false); }); + methods.selectColumns = function(selected, ignoreSelectable) { + selected2 = $.makeArray(selected); + selectCols(ignoreSelectable); + changeInput('columns_selected', selected2); + } + } + + if (selTarget === 'cell') { + var selected3 = [], selectable3 = []; + if (selected !== null) selected3 = selected; + if (selectable !== null && typeof selectable !== 'boolean') selectable3 = selectable; + var findIndex = function(ij, sel) { + for (var i = 0; i < sel.length; i++) { + if (ij[0] === sel[i][0] && ij[1] === sel[i][1]) return i; + } + return -1; + } + // Change selected3's value based on selectable3, then refresh the cell state + var onlyKeepSelectableCells = function() { + if (selDisable) { // users can't select; useful when only want backend select + selected3 = []; + return; + } + if (selectable3.length === 0) return; + var nonselectable = selectable3[0][0] <= 0; + var out = []; + if (nonselectable) { + selected3.map(function(ij) { + // should make selectable3 positive + if (findIndex([-ij[0], -ij[1]], selectable3) === -1) { out.push(ij); } + }); + } else { + selected3.map(function(ij) { + if (findIndex(ij, selectable3) > -1) { out.push(ij); } + }); + } + selected3 = out; + } + // Change selected3's value based on selectable3, then + // refresh the cell selection state according to values in selected3 + var selectCells = function(ignoreSelectable) { + if (!ignoreSelectable) onlyKeepSelectableCells(); + table.$('td.' + selClass).removeClass(selClass); + if (selected3.length === 0) return; + if (server) { + table.cells({page: 'current'}).every(function() { + var info = tweakCellIndex(this); + if (findIndex([info.row, info.col], selected3) > -1) + $(this.node()).addClass(selClass); + }); + } else { + selected3.map(function(ij) { + $(table.cell(ij[0] - 1, ij[1]).node()).addClass(selClass); + }); + } + }; + table.on('click.dt', 'tbody td', function() { + var $this = $(this), info = tweakCellIndex(table.cell(this)); + if ($this.hasClass(selClass)) { + $this.removeClass(selClass); + selected3.splice(findIndex([info.row, info.col], selected3), 1); + } else { + if (selMode === 'single') $(table.cells().nodes()).removeClass(selClass); + $this.addClass(selClass); + selected3 = selMode === 'single' ? [[info.row, info.col]] : + unique(selected3.concat([[info.row, info.col]])); + } + selectCells(false); // must call this to update selected3 based on selectable3 + changeInput('cells_selected', transposeArray2D(selected3), 'shiny.matrix'); + }); + selectCells(false); // in case users have specified pre-selected columns + changeInput('cells_selected', transposeArray2D(selected3), 'shiny.matrix'); + + if (server) table.on('draw.dt', function(e) { selectCells(false); }); + methods.selectCells = function(selected, ignoreSelectable) { + selected3 = selected ? selected : []; + selectCells(ignoreSelectable); + changeInput('cells_selected', transposeArray2D(selected3), 'shiny.matrix'); + } + } + } + + // expose some table info to Shiny + var updateTableInfo = function(e, settings) { + // TODO: is anyone interested in the page info? + // changeInput('page_info', table.page.info()); + var updateRowInfo = function(id, modifier) { + var idx; + if (server) { + idx = modifier.page === 'current' ? DT_rows_current : DT_rows_all; + } else { + var rows = table.rows($.extend({ + search: 'applied', + page: 'all' + }, modifier)); + idx = addOne(rows.indexes().toArray()); + } + changeInput('rows' + '_' + id, idx); + }; + updateRowInfo('current', {page: 'current'}); + updateRowInfo('all', {}); + } + table.on('draw.dt', updateTableInfo); + updateTableInfo(); + + // state info + table.on('draw.dt column-visibility.dt', function() { + changeInput('state', table.state()); + }); + changeInput('state', table.state()); + + // search info + var updateSearchInfo = function() { + changeInput('search', table.search()); + if (filterRow) changeInput('search_columns', filterRow.toArray().map(function(td) { + return $(td).find('input').first().val(); + })); + } + table.on('draw.dt', updateSearchInfo); + updateSearchInfo(); + + var cellInfo = function(thiz) { + var info = tweakCellIndex(table.cell(thiz)); + info.value = table.cell(thiz).data(); + return info; + } + // the current cell clicked on + table.on('click.dt', 'tbody td', function() { + changeInput('cell_clicked', cellInfo(this), null, null, {priority: 'event'}); + }) + changeInput('cell_clicked', {}); + + // do not trigger table selection when clicking on links unless they have classes + table.on('mousedown.dt', 'tbody td a', function(e) { + if (this.className === '') e.stopPropagation(); + }); + + methods.addRow = function(data, rowname, resetPaging) { + var n = table.columns().indexes().length, d = n - data.length; + if (d === 1) { + data = rowname.concat(data) + } else if (d !== 0) { + console.log(data); + console.log(table.columns().indexes()); + throw 'New data must be of the same length as current data (' + n + ')'; + }; + table.row.add(data).draw(resetPaging); + } + + methods.updateSearch = function(keywords) { + if (keywords.global !== null) + $(table.table().container()).find('input[type=search]').first() + .val(keywords.global).trigger('input'); + var columns = keywords.columns; + if (!filterRow || columns === null) return; + filterRow.toArray().map(function(td, i) { + var v = typeof columns === 'string' ? columns : columns[i]; + if (typeof v === 'undefined') { + console.log('The search keyword for column ' + i + ' is undefined') + return; + } + // Update column search string and values on linked filter widgets. + // 'input' for factor and char filters, 'change' for numeric filters. + $(td).find('input').first().val(v).trigger('input', [true]).trigger('change'); + }); + table.draw(); + } + + methods.hideCols = function(hide, reset) { + if (reset) table.columns().visible(true, false); + table.columns(hide).visible(false); + } + + methods.showCols = function(show, reset) { + if (reset) table.columns().visible(false, false); + table.columns(show).visible(true); + } + + methods.colReorder = function(order, origOrder) { + table.colReorder.order(order, origOrder); + } + + methods.selectPage = function(page) { + if (table.page.info().pages < page || page < 1) { + throw 'Selected page is out of range'; + }; + table.page(page - 1).draw(false); + } + + methods.reloadData = function(resetPaging, clearSelection) { + // empty selections first if necessary + if (methods.selectRows && inArray('row', clearSelection)) methods.selectRows([]); + if (methods.selectColumns && inArray('column', clearSelection)) methods.selectColumns([]); + if (methods.selectCells && inArray('cell', clearSelection)) methods.selectCells([]); + table.ajax.reload(null, resetPaging); + } + + // update table filters (set new limits of sliders) + methods.updateFilters = function(newProps) { + // loop through each filter in the filter row + filterRow.each(function(i, td) { + var k = i; + if (filterRow.length > newProps.length) { + if (i === 0) return; // first column is row names + k = i - 1; + } + // Update the filters to reflect the updated data. + // Allow "falsy" (e.g. NULL) to signify a no-op. + if (newProps[k]) { + setFilterProps(td, newProps[k]); + } + }); + }; + + table.shinyMethods = methods; + }, + resize: function(el, width, height, instance) { + if (instance.data) this.renderValue(el, instance.data, instance); + + // dynamically adjust height if fillContainer = TRUE + if (instance.fillContainer) + this.fillAvailableHeight(el, height); + + this.adjustWidth(el); + }, + + // dynamically set the scroll body to fill available height + // (used with fillContainer = TRUE) + fillAvailableHeight: function(el, availableHeight) { + + // see how much of the table is occupied by header/footer elements + // and use that to compute a target scroll body height + var dtWrapper = $(el).find('div.dataTables_wrapper'); + var dtScrollBody = $(el).find($('div.dataTables_scrollBody')); + var framingHeight = dtWrapper.innerHeight() - dtScrollBody.innerHeight(); + var scrollBodyHeight = availableHeight - framingHeight; + + // we need to set `max-height` to none as datatables library now sets this + // to a fixed height, disabling the ability to resize to fill the window, + // as it will be set to a fixed 100px under such circumstances, e.g., RStudio IDE, + // or FlexDashboard + // see https://github.com/rstudio/DT/issues/951#issuecomment-1026464509 + dtScrollBody.css('max-height', 'none'); + // set the height + dtScrollBody.height(scrollBodyHeight + 'px'); + }, + + // adjust the width of columns; remove the hard-coded widths on table and the + // scroll header when scrollX/Y are enabled + adjustWidth: function(el) { + var $el = $(el), table = $el.data('datatable'); + if (table) table.columns.adjust(); + $el.find('.dataTables_scrollHeadInner').css('width', '') + .children('table').css('margin-left', ''); + } +}); + + if (!HTMLWidgets.shinyMode) return; + + Shiny.addCustomMessageHandler('datatable-calls', function(data) { + var id = data.id; + var el = document.getElementById(id); + var table = el ? $(el).data('datatable') : null; + if (!table) { + console.log("Couldn't find table with id " + id); + return; + } + + var methods = table.shinyMethods, call = data.call; + if (methods[call.method]) { + methods[call.method].apply(table, call.args); + } else { + console.log("Unknown method " + call.method); + } + }); + +})(); diff --git a/public/2024/07/tdlm-data-dictionary/index_files/datatables-css/datatables-crosstalk.css b/public/2024/07/tdlm-data-dictionary/index_files/datatables-css/datatables-crosstalk.css new file mode 100644 index 0000000..bd1159c --- /dev/null +++ b/public/2024/07/tdlm-data-dictionary/index_files/datatables-css/datatables-crosstalk.css @@ -0,0 +1,32 @@ +.dt-crosstalk-fade { + opacity: 0.2; +} + +html body div.DTS div.dataTables_scrollBody { + background: none; +} + + +/* +Fix https://github.com/rstudio/DT/issues/563 +If the `table.display` is set to "block" (e.g., pkgdown), the browser will display +datatable objects strangely. The search panel and the page buttons will still be +in full-width but the table body will be "compact" and shorter. +In therory, having this attributes will affect `dom="t"` +with `display: block` users. But in reality, there should be no one. +We may remove the below lines in the future if the upstream agree to have this there. +See https://github.com/DataTables/DataTablesSrc/issues/160 +*/ + +table.dataTable { + display: table; +} + + +/* +When DTOutput(fill = TRUE), it receives a .html-fill-item class (via htmltools::bindFillRole()), which effectively amounts to `flex: 1 1 auto`. That's mostly fine, but the case where `fillContainer=TRUE`+`height:auto`+`flex-basis:auto` and the container (e.g., a bslib::card()) doesn't have a defined height is a bit problematic since the table wants to fit the parent but the parent wants to fit the table, which results pretty small table height (maybe because there is a minimum height somewhere?). It seems better in this case to impose a 400px height default for the table, which we can do by setting `flex-basis` to 400px (the table is still allowed to grow/shrink when the container has an opinionated height). +*/ + +.html-fill-container > .html-fill-item.datatables { + flex-basis: 400px; +} diff --git a/public/2024/07/tdlm-data-dictionary/index_files/dt-core/css/jquery.dataTables.extra.css b/public/2024/07/tdlm-data-dictionary/index_files/dt-core/css/jquery.dataTables.extra.css new file mode 100644 index 0000000..b2dd141 --- /dev/null +++ b/public/2024/07/tdlm-data-dictionary/index_files/dt-core/css/jquery.dataTables.extra.css @@ -0,0 +1,28 @@ +/* Selected rows/cells */ +table.dataTable tr.selected td, table.dataTable td.selected { + background-color: #b0bed9 !important; +} +/* In case of scrollX/Y or FixedHeader */ +.dataTables_scrollBody .dataTables_sizing { + visibility: hidden; +} + +/* The datatables' theme CSS file doesn't define +the color but with white background. It leads to an issue that +when the HTML's body color is set to 'white', the user can't +see the text since the background is white. One case happens in the +RStudio's IDE when inline viewing the DT table inside an Rmd file, +if the IDE theme is set to "Cobalt". + +See https://github.com/rstudio/DT/issues/447 for more info + +This fixes should have little side-effects because all the other elements +of the default theme use the #333 font color. + +TODO: The upstream may use relative colors for both the table background +and the color. It means the table can display well without this patch +then. At that time, we need to remove the below CSS attributes. +*/ +div.datatables { + color: #333; +} diff --git a/public/2024/07/tdlm-data-dictionary/index_files/dt-core/css/jquery.dataTables.min.css b/public/2024/07/tdlm-data-dictionary/index_files/dt-core/css/jquery.dataTables.min.css new file mode 100644 index 0000000..ad59f84 --- /dev/null +++ b/public/2024/07/tdlm-data-dictionary/index_files/dt-core/css/jquery.dataTables.min.css @@ -0,0 +1 @@ +:root{--dt-row-selected: 13, 110, 253;--dt-row-selected-text: 255, 255, 255;--dt-row-selected-link: 9, 10, 11;--dt-row-stripe: 0, 0, 0;--dt-row-hover: 0, 0, 0;--dt-column-ordering: 0, 0, 0;--dt-html-background: white}:root.dark{--dt-html-background: rgb(33, 37, 41)}table.dataTable td.dt-control{text-align:center;cursor:pointer}table.dataTable td.dt-control:before{display:inline-block;color:rgba(0, 0, 0, 0.5);content:"►"}table.dataTable tr.dt-hasChild td.dt-control:before{content:"▼"}html.dark table.dataTable td.dt-control:before{color:rgba(255, 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b/public/2024/07/tdlm-data-dictionary/index_files/dt-core/js/jquery.dataTables.min.js @@ -0,0 +1,4 @@ +/*! DataTables 1.13.6 + * ©2008-2023 SpryMedia Ltd - datatables.net/license + */ +!function(n){"use strict";var a;"function"==typeof define&&define.amd?define(["jquery"],function(t){return n(t,window,document)}):"object"==typeof exports?(a=require("jquery"),"undefined"==typeof window?module.exports=function(t,e){return t=t||window,e=e||a(t),n(e,t,t.document)}:n(a,window,window.document)):window.DataTable=n(jQuery,window,document)}(function(P,j,v,H){"use strict";function d(t){var e=parseInt(t,10);return!isNaN(e)&&isFinite(t)?e:null}function l(t,e,n){var a=typeof t,r="string"==a;return"number"==a||"bigint"==a||!!h(t)||(e&&r&&(t=$(t,e)),n&&r&&(t=t.replace(q,"")),!isNaN(parseFloat(t))&&isFinite(t))}function a(t,e,n){var a;return!!h(t)||(h(a=t)||"string"==typeof a)&&!!l(t.replace(V,"").replace(/ + + A Data Dic(tionary) pic of TdlM - The Median Duck + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
+ + +
+ +

vires in notitia

+ + +
+
+
+

A Data Dic(tionary) pic of TdlM

+
Posted on Aug 31, 2024
+
+ + +
+ +
+ +
+ + + + + + + + + + + + + + + + + + +
+

Your Task

+
+

Obtain a good overview of the tables in the TdLM database, what these tables contain, how these tables are linked together, and which ones are the most important for this project.

+
+
+
+

Don’t be a Data Dic (tionary) about this…

+

This article assumes that you are able to connect to the TdlM database successfully (database connection post).

+

A reminder that these are the tables available to us in TdlM database are.

+
tm_db_tables <- dbListTables(tm_db)
+tm_db_tables
+
##  [1] "attempts"           "discrepancies"      "episode_scores"     "episodes"           "intros"             "measurements"       "normalized_scores"  "objectives"         "people"             "podcast"            "profanity"          "series"             "series_scores"      "special_locations"  "task_briefs"        "task_readers"       "task_winners"       "tasks"              "tasks_by_objective" "team_tasks"         "teams"              "title_coiners"      "title_stats"
+
+

A Data Dic(tionary) Pic: An Overview of the Plan

+

To formulate our basic data dictionary, we are going to go one by one through these 23 tables, perform a simple query to sample the data and infer what the table and data pertains to. Basic data summaries will be performed on these tables to get a sense of potential distribution of values, and any missing values.

+

In the spirit automation, we will be querying each table through a for loop, cycling through the tables names provided above. This means we won’t be repeating too much work, and if tables are added or changed in the future, we can re-run the code quickly to obtain new samples for inspection.

+

Fulll details of the deep dive can be found in the appendix

+
+
+
+

Summary of Findings

+

Based on the deep dive, here is a brief summary of each table and a heuristic categorisation (Tier) of how important they are to this project. +This categorisation could be used for prioritisation purposes in ensuring that this data is collected in a timely manner, and that we have high quality data for them.1

+
    +
  • Tier 1: Essential and fundamental to The Median Duck project. High data quality required to make the project successful. Data Collection of these tables should be prioritised in the case of an emergency.
  • +
  • Tier 2: Currently not essential, but may be required at a later date, particularly once performing additional investigations and deep dives.
  • +
  • Tier 3: Good auxiliary and insights tables, but not essential to The Median Duck.
  • +
+
+ +

The series table indicates, TdlM only contains data associated with the UK series of Taskmaste (both regular and New Years Treat).

+

Through this deep dive, I also observed that the data output obtained from this R connection, can be less intuitive and comprehensible than that presented throught the Datasette website interface. It is possible that some front end processing is occurring for the website which uses the intrinsic links between the tables to provide intuitive, comprehensible data records. The use of REFERENCES <table>(id) in the CREATE TABLE statement is likely an indication of how this data linked together.

+

For example compare the output in the episode_scores table, when querying through R and through the Datasette website.

+

The episode, contestant columns are numerical in the the R output, whilst they are meaning strings in the website output; namely the actual episode titles, and contestants full names.

+

This indicates some additional work will likely be required in R to get data in this in this similarly intuitive and informative manner. Datasette will have the benefit that some of this back end processing has already been performed, and a lower barrier to entry. Saying this, if execute the raw SQL query directly on the Datasette website, we do get the less intuitive data (link).

+
query <- "SELECT id, episode, contestant, score, rank, series, srank FROM episode_scores WHERE \"id\" >= 51 AND \"id\" <= 55 ORDER BY id LIMIT 101"
+
+
+

Output from the database file through R:

+
+ +
+
+

Output from Datasette website: +

+
+
+
+
+

Final Thoughts

+
+

There are 10 tables in the TdlM database which we consider to be essential to the The Median Duck project. +These tables are attempts, episode_scores, episodes, people, series, series_scores, task_winners, tasks, team_tasks, teams.

+
+
+
+

Appendix Details

+

Comprehensive details on how the data dictionary and heuristic ranking came to be. Data samples and summary statistics also provided.

+

Be warned, it’s very dry and not for the faint heartened! You do however get to see my coding standards and commentary style however.

+
library(Hmisc)  #Library/Function to provide data summaries.
+
+# Initially empty list to contain the data frame samples.
+data_sample_list <- list()
+sample_size <- 10
+
+# For each table...
+
+# Perform a SELECT * FROM {tbl} query to pull data.
+
+# Randomly sample data using R, and also get summary statistics
+
+# Add data sample to list for easy access.
+for (iter in 1:length(tm_db_tables)) {
+    tbl <- tm_db_tables[iter]
+    select_query <- sprintf("SELECT * FROM %s", tbl)
+
+    set.seed(1234)  # Set seed for reproducibility.
+
+    query_output <- dbGetQuery(tm_db, select_query)
+
+    # Random sample from table
+    table_sample <- query_output[sample(1:nrow(query_output), size = sample_size), ]
+
+    # Summary statistics for entire table
+    table_summary <- Hmisc::describe(query_output)
+
+    # List of two objects
+    table_list <- list(data_sample = table_sample, data_summary = table_summary)
+
+    data_sample_list[[iter]] <- table_list
+}
+
+
+# Give the list items the table names we have queried from
+data_sample_list <- setNames(data_sample_list, tm_db_tables)
+
+

attempts

+

The attempts table table fundamentally captures each contestants attempt at each task; that is for each task, contestant the points awarded from their task attempt (points) and their ranking with respect to the other contestants (rank).

+

Information is also provided to the team id (if the task is a team task), and the location id of where the task was held.

+
    +
  • N.B. episode and series here denotes the contestant’s cumulative episode and series score respectively.
  • +
  • adjustmentis present to adjust for series bias??
  • +
  • PO denotes the Presentation Order, the order in which the contestants attempts was presented in the recording. 0 denotes simultaneous presentation of the attempts.
  • +
+
+ +See attempts Sample! + +
data_sample_list[["attempts"]]$data_sample
+
##        id task contestant PO base adjustment points rank episode series team location
+## 3356 3356  693         91  4    5         NA      5   1=       8     97   NA       NA
+## 3920 3920  808        107  2    5         NA      5   1=      12    104   NA       NA
+## 3066 3066  635         81 2=    5         NA      5    1      21     99   NA       NA
+## 3173 3173  657         83  1    0         NA      0 <NA>      11     11   NA       NA
+## 1004 1004  214         37 1=    1         NA      1   2=      10     21   12       NA
+## 623   623  133         20  2    3         NA      3    3       3     95   NA       NA
+## 2953 2953  611         82 1=    4          1      5    2      10     41   NA       NA
+## 2693 2693  559         69 3=    2         NA      2   4=      11     64   NA       NA
+## 934   934  199         30  0    4         NA      4   2=      20     20   NA       NA
+## 400   400   84         15  1    1         NA      1    5       6     49   NA       NA
+
+
+ +See attempts Summary! + +
data_sample_list[["attempts"]]$data_summary
+
## query_output 
+## 
+##  12  Variables      3975  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3975        0     3975        1     1988     1325    199.7    398.4    994.5   1988.0   2981.5   3577.6   3776.3 
+## 
+## lowest :    1    2    3    4    5, highest: 3971 3972 3973 3974 3975
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3975        0      819        1    413.4      272     44.0     84.0    212.5    414.0    617.0    737.6    778.3 
+## 
+## lowest :   1   2   3   4   5, highest: 815 816 817 818 819
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## contestant 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3975        0      106        1    54.53       34        9       16       33       51       79      100      104 
+## 
+## lowest :   1   3   4   5   6, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## PO 
+##        n  missing distinct 
+##     3967        8       10 
+##                                                                       
+## Value          0     1    1=     2    2=     3    3=     4    4=     5
+## Frequency    425   386   850   318   316   355   296   330   240   451
+## Proportion 0.107 0.097 0.214 0.080 0.080 0.089 0.075 0.083 0.060 0.114
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## base 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3795      180       15    0.966    3.008    1.833        0        1        2        3        4        5        5 
+##                                                                                                     
+## Value         -5    -2    -1     0     1     2     3     4     5     6     7    10    12    13    15
+## Frequency      2     2     1   279   511   651   738   717   877     7     1     5     2     1     1
+## Proportion 0.001 0.001 0.000 0.074 0.135 0.172 0.194 0.189 0.231 0.002 0.000 0.001 0.001 0.000 0.000
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## adjustment 
+##        n  missing distinct     Info     Mean      Gmd 
+##       63     3912        7    0.584    0.619    1.269 
+##                                                     
+## Value         -5    -2    -1     1     2     3     5
+## Frequency      3     2     5    47     4     1     1
+## Proportion 0.048 0.032 0.079 0.746 0.063 0.016 0.016
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## points 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3975        0       16    0.969    2.882    1.935        0        0        2        3        4        5        5 
+##                                                                                                           
+## Value         -5    -4    -2    -1     0     1     2     3     4     5     6     7    10    12    13    15
+## Frequency      2     1     2     3   444   520   645   740   717   878    12     2     5     2     1     1
+## Proportion 0.001 0.000 0.001 0.001 0.112 0.131 0.162 0.186 0.180 0.221 0.003 0.001 0.001 0.001 0.000 0.000
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## rank 
+##        n  missing distinct 
+##     3510      465        9 
+##                                                                 
+## Value          1    1=     2    2=     3    3=     4    4=     5
+## Frequency    614   397   515   328   470   160   443   120   463
+## Proportion 0.175 0.113 0.147 0.093 0.134 0.046 0.126 0.034 0.132
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episode 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3974        1       31    0.997    9.421    6.145        2        3        5        9       13       17       19 
+## 
+## lowest : -4  0  1  2  3, highest: 25 26 27 28 30
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3974        1      180        1    71.52    52.22        6       12       32       68      108      136      150 
+## 
+## lowest :   0   1   2   3   4, highest: 175 176 179 181 184
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## team 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      475     3500       36    0.999    21.09    11.56        4        7       13       22       30       34       35 
+## 
+## lowest :  1  2  3  4  5, highest: 32 33 34 35 36
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## location 
+##        n  missing distinct     Info     Mean      Gmd 
+##       50     3925        3    0.271     1.52    2.875 
+##                          
+## Value         0    5   22
+## Frequency    45    2    3
+## Proportion 0.90 0.04 0.06
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

discrepancies

+

The discrepancies table exists +“to account for the two whole points that have gone misplaced in the history of TMUK” 2

+

The table has the series, episode, contestant, task that caused the discrepancy, and the discrepancy between observed and official (truth??). The data summary shows that there are only 10 observations so this table is unlikely to be a top priority.

+
+ +See discrepancies Sample! + +
data_sample_list[["discrepancies"]]$data_sample
+
##    id contestant task episode series observed official
+## 10 10         67   NA      NA     11      159      158
+## 6   6         52   NA      NA      9      160      159
+## 5   5         51   NA      NA      9      157      158
+## 4   4         52   NA      72     NA       18       17
+## 1   1         51  416      NA     NA        2        3
+## 8   8         67   NA      86     NA       19       18
+## 2   2         52  416      NA     NA        3        2
+## 7   7         66   NA      86     NA       16       17
+## 9   9         66   NA      NA     11      153      154
+## 3   3         51   NA      72     NA       14       15
+
+
+ +See discrepancies Summary! + +
data_sample_list[["discrepancies"]]$data_summary
+
## query_output 
+## 
+##  7  Variables      10  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       10        0       10        1      5.5    3.667     1.45     1.90     3.25     5.50     7.75     9.10     9.55 
+##                                                   
+## Value        1   2   3   4   5   6   7   8   9  10
+## Frequency    1   1   1   1   1   1   1   1   1   1
+## Proportion 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## contestant 
+##        n  missing distinct     Info     Mean      Gmd 
+##       10        0        4    0.939     57.5    8.289 
+##                           
+## Value       51  52  66  67
+## Frequency    3   3   2   2
+## Proportion 0.3 0.3 0.2 0.2
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd 
+##        2        8        1        0      416        0 
+##               
+## Value      416
+## Frequency    2
+## Proportion   1
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episode 
+##        n  missing distinct     Info     Mean      Gmd 
+##        4        6        2      0.8       79    9.333 
+##                   
+## Value       72  86
+## Frequency    2   2
+## Proportion 0.5 0.5
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd 
+##        4        6        2      0.8       10    1.333 
+##                   
+## Value        9  11
+## Frequency    2   2
+## Proportion 0.5 0.5
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## observed 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       10        0       10        1     70.1    80.91     2.45     2.90    14.50    18.50   156.00   159.10   159.55 
+##                                                   
+## Value        2   3  14  16  18  19 153 157 159 160
+## Frequency    1   1   1   1   1   1   1   1   1   1
+## Proportion 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1 0.1
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## official 
+##        n  missing distinct     Info     Mean      Gmd 
+##       10        0        8    0.988     70.1    80.56 
+##                                           
+## Value        2   3  15  17  18 154 158 159
+## Frequency    1   1   1   2   1   1   2   1
+## Proportion 0.1 0.1 0.1 0.2 0.1 0.1 0.2 0.1
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

episode_scores

+

The episode_scores table details the total number of points (score) awarded for each contestant in an episode, and their ranking within the episode against other contestants (rank). The cumulative series score and rank are also provided (series and srank respectively).3

+
+ +See episode_scores Sample! + +
data_sample_list[["episode_scores"]]$data_sample
+
##      id episode contestant score rank series srank
+## 284 284      57         46    11    4     40     5
+## 101 101      21         18    21   1=     83     4
+## 623 623     125         90     6    5    113    4=
+## 645 645     129        102    19    1     19     1
+## 400 400      80         57    12    4     97     2
+## 98   98      20         20    15    5     58     5
+## 103 103      21         20    15    4     73     5
+## 726 726     146        103    15   2=    123     2
+## 602 602     121         89    15    3     60     3
+## 326 326      66         48    10    5     24     5
+
+
+ +See episode_scores Summary! + +
data_sample_list[["episode_scores"]]$data_summary
+
## query_output 
+## 
+##  7  Variables      740  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      740        0      740        1    370.5      247    37.95    74.90   185.75   370.50   555.25   666.10   703.05 
+## 
+## lowest :   1   2   3   4   5, highest: 736 737 738 739 740
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episode 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      740        0      148        1     74.5     49.4     8.00    15.00    37.75    74.50   111.25   134.00   141.00 
+## 
+## lowest :   1   2   3   4   5, highest: 144 145 146 147 148
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## contestant 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      740        0      105        1    55.68    34.03      9.0     16.0     34.0     52.5     80.0    100.0    104.0 
+## 
+## lowest :   3   4   5   6   7, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## score 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      740        0       26    0.995    15.47    4.767        9       10       13       16       18       21       22 
+## 
+## lowest :  3  5  6  7  8, highest: 25 26 27 28 30
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## rank 
+##        n  missing distinct 
+##      740        0        9 
+##                                                                 
+## Value          1    1=     2    2=     3    3=     4    4=     5
+## Frequency    123    52   104    41   105    46   108    32   129
+## Proportion 0.166 0.070 0.141 0.055 0.142 0.062 0.146 0.043 0.174
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      740        0      166        1    77.45    52.36     13.0     17.0     37.0     74.5    113.0    142.0    155.0 
+## 
+## lowest :   5   6   7   8   9, highest: 174 175 176 181 184
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## srank 
+##        n  missing distinct 
+##      740        0        9 
+##                                                                 
+## Value          1    1=     2    2=     3    3=     4    4=     5
+## Frequency    140    16   123    37   121    20   125    22   136
+## Proportion 0.189 0.022 0.166 0.050 0.164 0.027 0.169 0.030 0.184
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

episodes

+

The episodes table details key information at the (series, episode) level. Information includes the episode title (title), the winner of the episode (winner), total number of judged tasks in the episode (tasks) and total number of points awarded in the episode (points). Logistical information on the episode such as whether the episode is a finale or not, and the studio and air date are also available.

+

It is not clear at the moment as to what the TMI represents.

+
+ +See episodes Sample! + +
data_sample_list[["episodes"]]$data_sample
+
##      id series episode                     title winner   air_date studio_date points tasks finale TMI
+## 28   28      5       4  Residue around the hoof.     25 2017-10-04  2017-07-04     96     7      0  28
+## 80   80     10       6             Hippopotamus.     56 2020-11-19  2020-07-29     77     5      0  80
+## 101 101     12       6       A chair in a sweet.     70 2021-10-28        <NA>     76     5      0 267
+## 111 111     13       5  Having a little chuckle.     78 2022-05-12  2021-09-20     67     5      0 316
+## 137 137     15       9    A show about pedantry.    101 2023-05-25  2022-09-28     84     5      0 470
+## 133 133     15       5             Old Honkfoot.    102 2023-04-27  2022-09-26     97     5      0 466
+## 132 132     15       4   How heavy is the water?    100 2023-04-20  2022-09-23     57     5      0 465
+## 98   98     12       3 The end of the franchise.     69 2021-10-07        <NA>     80     5      0 264
+## 103 103     12       8       A couple of Ethels.     68 2021-11-11        <NA>     79     5      0 269
+## 90   90     11       5            Slap and tong.     63 2021-04-15        <NA>     70     5      0 215
+
+
+ +See episodes Summary! + +
data_sample_list[["episodes"]]$data_summary
+
## query_output 
+## 
+##  11  Variables      148  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0      148        1     74.5    49.67     8.35    15.70    37.75    74.50   111.25   133.30   140.65 
+## 
+## lowest :   1   2   3   4   5, highest: 144 145 146 147 148
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0       21    0.996    8.764    5.553        1        2        5        9       13       15       16 
+## 
+## lowest : -5 -4 -3 -2 -1, highest: 12 13 14 15 16
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episode 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0       10    0.989    4.966    3.286        1        1        2        5        7        9       10 
+##                                                                       
+## Value          1     2     3     4     5     6     7     8     9    10
+## Frequency     21    17    16    16    16    14    13    13    11    11
+## Proportion 0.142 0.115 0.108 0.108 0.108 0.095 0.088 0.088 0.074 0.074
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## title 
+##        n  missing distinct 
+##      148        0      148 
+## 
+## lowest : 100% Bosco.              A chair in a sweet.      A coquettish fascinator. A couple of Ethels.      A cuddle.               , highest: Welcome to Rico Face.    What kind of pictures?   Wiley giraffe blower.    You've got no chutzpah.  You tuper super.        
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## winner 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0       78        1    55.77    34.28    10.35    16.00    34.75    52.50    80.00   101.00   103.65 
+## 
+## lowest :   3   4   5   7   8, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## air_date 
+##        n  missing distinct 
+##      148        0      148 
+## 
+## lowest : 2015-07-28 2015-08-04 2015-08-11 2015-08-18 2015-08-25, highest: 2023-10-26 2023-11-02 2023-11-09 2023-11-16 2023-11-23
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## studio_date 
+##        n  missing distinct 
+##      108       40       55 
+## 
+## lowest : 2015-03-23 2015-03-24 2015-03-25 2017-07-03 2017-07-04, highest: 2023-05-02 2023-05-03 2023-05-04 2023-05-11 2023-05-12
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## points 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0       48    0.998    77.36     12.2    61.35    65.00    71.00    77.00    82.25    91.30    98.00 
+## 
+## lowest :  47  53  57  58  59, highest: 103 106 107 110 120
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## tasks 
+##        n  missing distinct     Info     Mean      Gmd 
+##      148        0        3    0.565    5.264   0.4044 
+##                             
+## Value          5     6     7
+## Frequency    111    35     2
+## Proportion 0.750 0.236 0.014
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## finale 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##      148        0        2    0.289       16   0.1081   0.1942 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## TMI 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0      148        1    178.2      187     8.35    15.70    37.75    74.50   317.25   466.30   503.65 
+## 
+## lowest :   1   2   3   4   5, highest: 507 508 509 510 511
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

intros

+

The intros table has information associated with the intro sequence for each series. This intro sequence is assumed to remain the same across all episodes within the same series (except for the end shot which features the episode title).

+

The intro sequence has been decomposed into which person is featured (person is not limited to contestants and can include Greg or Little Alex Horne), and the task it is taken from. The clip field does not seem to have much meaning in its R form, but inspecting this data through the Datasette website highlights that this links to a mp4 of that particular part of the intro on imgur.com. 4

+
+ +See intros Sample! + +
data_sample_list[["intros"]]$data_sample
+
##      id series clip person              task
+## 284 284      7   G6      2 Be the Taskmaster
+## 101 101      3   18     13                86
+## 400 400     10   26     57               464
+## 98   98      3   15     15                91
+## 103 103      3   18     15                86
+## 602 602     16   15      1               811
+## 326 326      9    2     51      unidentified
+## 79   79      3    2     14                68
+## 270 270      7   19     38               272
+## 382 382     10   12      1               466
+
+
+ +See intros Summary! + +
data_sample_list[["intros"]]$data_summary
+
## query_output 
+## 
+##  5  Variables      616  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      616        0      616        1    308.5    205.7    31.75    62.50   154.75   308.50   462.25   554.50   585.25 
+## 
+## lowest :   1   2   3   4   5, highest: 612 613 614 615 616
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      616        0       16    0.996    8.263    5.288        1        2        4        8       12       15       16 
+##                                                                                                           
+## Value          1     2     3     4     5     6     7     8     9    10    11    12    13    14    15    16
+## Frequency     38    38    44    49    38    36    41    39    43    36    34    34    37    37    37    35
+## Proportion 0.062 0.062 0.071 0.080 0.062 0.058 0.067 0.063 0.070 0.058 0.055 0.055 0.060 0.060 0.060 0.057
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## clip 
+##        n  missing distinct 
+##      616        0       36 
+## 
+## lowest : 1  10 11 12 13, highest: G2 G3 G4 G5 G6
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## person 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      616        0       83    0.994    34.97    37.52      1.0      1.0      2.0     24.0     58.5     90.0    101.0 
+## 
+## lowest :   0   1   2   3   4, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct 
+##      616        0      274 
+## 
+## lowest : 101               102               107               113               114              , highest: 92                96                Be the Taskmaster unaired           unidentified     
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

measurements

+

The measurements table table details for a particular task, contestant, the measurable outcome of their attempt.

+

For example, the duration of the time the task lasted for (either to successful completion, or until failure termination) or the longest distance travelled. The objective column provides insight into the units of the measurement and the objective (for example most, least, closest).

+

Care is likely required on the measurement field as to how inconclusive measurements are handed (was not observed and thus measured) and disqualifications.

+
+ +See measurements Sample! + +
data_sample_list[["measurements"]]$data_sample
+
##        id task contestant measurement objective
+## 1308 1308  551         69         0.0         2
+## 1872 1872  762        100         3.8         4
+## 1018 1018  439         57       393.0         2
+## 1942 1942  785        106       474.0         2
+## 1125 1125  486         58      1500.0       111
+## 1004 1004  435         53         8.0       103
+## 623   623  258         33        20.5        27
+## 905   905  381         51         0.0        94
+## 645   645  264         35         0.0        75
+## 934   934  394         50         0.0        97
+
+
+ +See measurements Summary! + +
data_sample_list[["measurements"]]$data_summary
+
## query_output 
+## 
+##  5  Variables      2037  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     2037        0     2037        1     1019    679.3    102.8    204.6    510.0   1019.0   1528.0   1833.4   1935.2 
+## 
+## lowest :    1    2    3    4    5, highest: 2033 2034 2035 2036 2037
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     2037        0      391        1    418.9    279.9       37       73      205      440      627      744      782 
+## 
+## lowest :   2   4   6   8   9, highest: 809 811 813 814 819
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## contestant 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     2037        0      106        1    55.33    35.27        7       14       32       54       80      101      104 
+## 
+## lowest :   1   3   4   5   6, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## measurement 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     1819      218      671    0.999   298921   597507      0.0      0.5      3.0     16.0    270.0    921.2   1527.3 
+## 
+## lowest :     -2143      -128       -40       -35       -33, highest:   4185000  10368000  30305028  30355028 461031285
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## objective 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     2037        0      179    0.967    48.24    57.37        2        2        2       30       91      139      159 
+## 
+## lowest :   1   2   3   4   5, highest: 175 176 177 178 179
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

normalized_scores

+

The normalized_scores table attempts to normalise scores across contestants for a particular task in an episode. This normalisation is required when bonus points are awarded in addition to the main tasak, and to handle ranking ties (two or more contestants achieved the same measurement and/or points in a task attempt), different ranking strategies are employed to handle ties.

+

Columns:

+
    +
  • base is the number of points awarded by the Taskmaster without the bonus points. These will typically be valued 0, 1, 2, 3, 4, 5, although the data also suggests it can be negative on a few rare occasions. These are typically when Alex is being particularly mischievous (e.g. lose points if you don’t do the tasks correctly).
  • +
  • points is the number of points awarded including the bonus points or the Taskmaster going rogue.
  • +
  • adjustment is the difference between points and base.
  • +
  • rank is the ranking of contestant according to the base column, that is before bonus points are rewarded.
  • +
  • rigid is the tidiest normalisation of points where 5 points are awarded for 1st, 4 for 2nd etc.
  • +
  • spread evenly distributes the points across the tied contestants.
  • +
  • scale scores are normalised such that no score exceed a maximum of 5. Previously tried to scale scores so that the sum was 15.
  • +
  • 5+3, 3+2 and 3½+2½ are normalisation tactics for team tasks.
  • +
+
+ +See normalized_scores Sample! + +
data_sample_list[["normalized_scores"]]$data_sample
+
##        id task contestant base adjustment points rank rigid spread scale 5+3 3+2 3½+2½
+## 3356 3356  693         91    5         NA      5   1=     5    3.5  3.57  NA  NA    NA
+## 3920 3920  808        107    5         NA      5   1=     5    4.5  4.69  NA  NA    NA
+## 3066 3066  635         81    5         NA      5    1     5    5.0  5.00  NA  NA    NA
+## 3173 3173  657         83    0         NA      0 <NA>    NA     NA    NA  NA  NA    NA
+## 1004 1004  214         37    1         NA      1   2=    NA     NA  1.25   3   2   2.5
+## 623   623  133         20    3         NA      3    3     3    3.0  3.00  NA  NA    NA
+## 2953 2953  611         82    4          1      5    2     4    4.0  4.00  NA  NA    NA
+## 2693 2693  559         69    2         NA      2   4=     2    1.5  1.88  NA  NA    NA
+## 934   934  199         30    4         NA      4   2=     4    3.0  3.33  NA  NA    NA
+## 400   400   84         15    1         NA      1    5     1    1.0  1.00  NA  NA    NA
+
+
+ +See normalized_scores Summary! + +
data_sample_list[["normalized_scores"]]$data_summary
+
## query_output 
+## 
+##  13  Variables      3975  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3975        0     3975        1     1988     1325    199.7    398.4    994.5   1988.0   2981.5   3577.6   3776.3 
+## 
+## lowest :    1    2    3    4    5, highest: 3971 3972 3973 3974 3975
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3975        0      819        1    413.4      272     44.0     84.0    212.5    414.0    617.0    737.6    778.3 
+## 
+## lowest :   1   2   3   4   5, highest: 815 816 817 818 819
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## contestant 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3975        0      106        1    54.53       34        9       16       33       51       79      100      104 
+## 
+## lowest :   1   3   4   5   6, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## base 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3795      180       15    0.966    3.008    1.833        0        1        2        3        4        5        5 
+##                                                                                                     
+## Value         -5    -2    -1     0     1     2     3     4     5     6     7    10    12    13    15
+## Frequency      2     2     1   279   511   651   738   717   877     7     1     5     2     1     1
+## Proportion 0.001 0.001 0.000 0.074 0.135 0.172 0.194 0.189 0.231 0.002 0.000 0.001 0.001 0.000 0.000
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## adjustment 
+##        n  missing distinct     Info     Mean      Gmd 
+##       63     3912        7    0.584    0.619    1.269 
+##                                                     
+## Value         -5    -2    -1     1     2     3     5
+## Frequency      3     2     5    47     4     1     1
+## Proportion 0.048 0.032 0.079 0.746 0.063 0.016 0.016
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## points 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3975        0       16    0.969    2.882    1.935        0        0        2        3        4        5        5 
+##                                                                                                           
+## Value         -5    -4    -2    -1     0     1     2     3     4     5     6     7    10    12    13    15
+## Frequency      2     1     2     3   444   520   645   740   717   878    12     2     5     2     1     1
+## Proportion 0.001 0.000 0.001 0.001 0.112 0.131 0.162 0.186 0.180 0.221 0.003 0.001 0.001 0.001 0.000 0.000
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## rank 
+##        n  missing distinct 
+##     3510      465        9 
+##                                                                 
+## Value          1    1=     2    2=     3    3=     4    4=     5
+## Frequency    614   397   515   328   470   160   443   120   463
+## Proportion 0.175 0.113 0.147 0.093 0.134 0.046 0.126 0.034 0.132
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## rigid 
+##        n  missing distinct     Info     Mean      Gmd 
+##     3104      871        5    0.957    3.235    1.566 
+##                                         
+## Value          1     2     3     4     5
+## Frequency    463   563   624   691   763
+## Proportion 0.149 0.181 0.201 0.223 0.246
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## spread 
+##        n  missing distinct     Info     Mean      Gmd 
+##     3084      891        9    0.975    3.098    1.567 
+##                                                                 
+## Value        1.0   1.5   2.0   2.5   3.0   3.5   4.0   4.5   5.0
+## Frequency    460   120   495   130   514   120   543    92   610
+## Proportion 0.149 0.039 0.161 0.042 0.167 0.039 0.176 0.030 0.198
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## scale 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     3484      491       53    0.987    3.102    1.504        1        1        2        3        4        5        5 
+## 
+## lowest : 0.385 0.5   0.714 0.75  0.833, highest: 4.41  4.5   4.62  4.69  5    
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## 5+3 
+##        n  missing distinct     Info     Mean      Gmd 
+##      400     3575        2    0.707     4.24   0.9448 
+##                     
+## Value         3    5
+## Frequency   152  248
+## Proportion 0.38 0.62
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## 3+2 
+##        n  missing distinct     Info     Mean      Gmd 
+##      400     3575        2    0.707     2.62   0.4724 
+##                     
+## Value         2    3
+## Frequency   152  248
+## Proportion 0.38 0.62
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## 3½+2½ 
+##        n  missing distinct     Info     Mean      Gmd 
+##      400     3575        2    0.707     3.12   0.4724 
+##                     
+## Value       2.5  3.5
+## Frequency   152  248
+## Proportion 0.38 0.62
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

objectives

+

The objectives table is a supplement of the measurements table and explicitly details the units, the objective (target) of a task. The label column appears to be a concatenation of unit and target.

+
+ +See objectives Sample! + +
data_sample_list[["objectives"]]$data_sample
+
##      id              unit target               label
+## 28   28        sweatdrops   most        sweatdrops ▲
+## 80   80  understood words   most  understood words ▲
+## 150 150     wrong guesses  least     wrong guesses ▼
+## 101 101          balloons   most          balloons ▲
+## 111 111 centimeters cubed   most centimeters cubed ▲
+## 137 137             hertz   most             hertz ▲
+## 133 133        characters   most        characters ▲
+## 166 166  piled pineapples   most  piled pineapples ▲
+## 144 144             signs   most             signs ▲
+## 132 132         questions  least         questions ▼
+
+
+ +See objectives Summary! + +
data_sample_list[["objectives"]]$data_summary
+
## query_output 
+## 
+##  4  Variables      179  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      179        0      179        1       90       60      9.9     18.8     45.5     90.0    134.5    161.2    170.1 
+## 
+## lowest :   1   2   3   4   5, highest: 175 176 177 178 179
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## unit 
+##        n  missing distinct 
+##      179        0      168 
+## 
+## lowest : % sand diverted  % signs obeyed   £                actual facts     alarms          , highest: understood words votes            white circles    wrong guesses    zip-lined items 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## target 
+##        n  missing distinct 
+##      179        0        3 
+##                                
+## Value       least median   most
+## Frequency      42      1    136
+## Proportion  0.235  0.006  0.760
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## label 
+##        n  missing distinct 
+##      179        0      179 
+## 
+## lowest : % sand diverted ▲ % signs obeyed ▲  £ ▲               actual facts ▲    alarms ▼         , highest: votes ▲           white circles ▲   wrong guesses ▲   wrong guesses ▼   zip-lined items ▲
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

people

+

The people table provides a variety information on both contestants, the Taskmaster and Little Alex Horne. Included information is both Taskmaster specific (which seat are they in, the team they were part of, whether they were a champion), and more general information (dob, gender, left or right handed (hand).

+

TMI is an identifier for the on the taskmaster.info website that the data is collated from.

+
+ +See people Sample! + +
data_sample_list[["people"]]$data_sample
+
##      id series seat              name        dob gender hand team champion TMI
+## 28   28     -1    1      Bob Mortimer 1959-05-23      M    R   NA        0  42
+## 80   80     13    3      Chris Ramsey 1986-08-03      M    R   29        0 310
+## 22   22      4    5     Noel Fielding 1973-05-21      M    R    8        1  21
+## 101 101     15    4 Kiell Smith-Bynoe 1989-03-05      M    R   34        0 394
+## 108 108     -6    1    Deborah Meaden 1959-02-11      F    R   NA        0 512
+## 111 111     -6    4   Steve Backshall 1973-04-21      M    R   NA        0 515
+## 9     9      2    2     Joe Wilkinson 1975-05-02      M    R    4        0  70
+## 5     5      1    3     Roisin Conaty 1979-03-26      F    R    2        0  15
+## 38   38      7    1     James Acaster 1985-01-09      M    R   14        0   1
+## 16   16      3    4       Rob Beckett 1986-01-02      M    R    5        1   8
+
+
+ +See people Summary! + +
data_sample_list[["people"]]$data_summary
+
## query_output 
+## 
+##  10  Variables      117  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      117        0      117        1       59    39.33      6.8     12.6     30.0     59.0     88.0    105.4    111.2 
+## 
+## lowest :   1   2   3   4   5, highest: 113 114 115 116 117
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      115        2       23    0.998    4.696    8.146       -6       -5       -2        5       11       14       15 
+## 
+## lowest : -7 -6 -5 -4 -3, highest: 12 13 14 15 16
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## seat 
+##        n  missing distinct     Info     Mean      Gmd 
+##      115        2        5     0.96        3    1.614 
+##                               
+## Value        1   2   3   4   5
+## Frequency   23  23  23  23  23
+## Proportion 0.2 0.2 0.2 0.2 0.2
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## name 
+##        n  missing distinct 
+##      117        0      102 
+## 
+## lowest : Adrian Chiles           Aisling Bea             Al Murray               Alan Davies             Alex Horne             , highest: Susan Wokoma            Tim Key                 Tim Vine                Victoria Coren Mitchell Zoe Ball               
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## dob 
+##        n  missing distinct 
+##      117        0      102 
+## 
+## lowest : 1957-01-28 1957-07-23 1959-02-11 1959-05-23 1959-05-25, highest: 1992-12-29 1993-01-04 1993-05-28 1994-01-30 2009-03-18
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## gender 
+##        n  missing distinct 
+##      117        0        3 
+##                             
+## Value          F     M    NB
+## Frequency     49    67     1
+## Proportion 0.419 0.573 0.009
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## hand 
+##        n  missing distinct 
+##      117        0        2 
+##                     
+## Value         L    R
+## Frequency     7  110
+## Proportion 0.06 0.94
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## team 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       80       37       32    0.999    18.23    12.74     2.00     4.00     8.75    16.50    28.25    33.10    35.00 
+## 
+## lowest :  1  2  3  4  5, highest: 32 33 34 35 36
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## champion 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##      117        0        2    0.354       16   0.1368   0.2381 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## TMI 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      117        0      102        1    170.2    183.8      8.0     14.6     31.0     60.0    320.0    416.4    457.2 
+## 
+## lowest :   1   2   5   6   7, highest: 512 513 514 515 516
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

podcast

+

The podcast table provides information regarding the Official Taskmaster Podcast hosted by Ed Gamble (no the People’s Taskmaster). Information on who the podcast guest was, their rating for the podcast episode, and the topic is available (topic will typically be the latest episode broadcasted).

+
+ +See podcast Sample! + +
data_sample_list[["podcast"]]$data_sample
+
##      id episode guest topic rating
+## 28   28      28    67    90      5
+## 80   80      79    78   110      5
+## 101 101     100    90   120      5
+## 111 111     110    46    56      5
+## 137 137     136    82    71      3
+## 133 133     132    27   137      4
+## 144 144     143   103   142      5
+## 132 132     131     0   136      5
+## 98   98      97    38    53      4
+## 103 103     102    52   122      4
+
+
+ +See podcast Summary! + +
data_sample_list[["podcast"]]$data_summary
+
## query_output 
+## 
+##  5  Variables      150  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      150        0      150        1     75.5    50.33     8.45    15.90    38.25    75.50   112.75   135.10   142.55 
+## 
+## lowest :   1   2   3   4   5, highest: 146 147 148 149 150
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episode 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      150        0      149        1    74.72    49.99     8.45    15.90    37.25    74.50   111.75   134.10   141.55 
+## 
+## lowest :   1   2   3   4   5, highest: 145 146 147 148 149
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## guest 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      150        0       68    0.992    40.54    39.61      0.0      0.0      4.0     40.0     67.0     92.3    100.5 
+## 
+## lowest :   0   1   2   4   6, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## topic 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      150        0      149        1    74.14    49.87     7.45    14.90    37.25    74.50   110.75   133.10   140.55 
+## 
+## lowest :   0   1   2   3   4, highest: 144 145 146 147 148
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## rating 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      149        1       12     0.72    4.829    1.632      2.4      3.0      4.0      5.0      5.0      5.0      5.0 
+##                                                                                               
+## Value       0.000  1.000  2.000  3.000  3.894  4.000  4.600  5.000  6.000  9.000 10.000 50.000
+## Frequency       1      4      3     15      1     21      1     97      3      1      1      1
+## Proportion  0.007  0.027  0.020  0.101  0.007  0.141  0.007  0.651  0.020  0.007  0.007  0.007
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

profanity

+

The profanity table details the profanity observed on the show. Each record details which series, episode, task the profanity occurred, who was the profanity offender (speaker), the offending words (roots) and the exact quote. Whether the profanity occurred in the studio or not (a pre-recorded task) is also available.

+
+ +See profanity Sample! + +
data_sample_list[["profanity"]]$data_sample
+
##        id series episode task speaker                   roots                                                                                                                      quote studio
+## 1308 1308     11      88  503       1                ["fuck"]                                        Well, I wouldn't have used those words, no, I would have said completely fucked it.      1
+## 1872 1872     15     136  751      99                ["damn"]                                       I've had very few points for LOLs-based prize tasks, so here's some goddamn feeling.      1
+## 1018 1018      9      67  393      48 ["ass/arse","ass/arse"]                                                               It just says Broad Arse now. Do you want a Broad Arse Award?      0
+## 1942 1942     16     141  781     107             ["bastard"]                                                                                                       It is Chain Bastard.      0
+## 1125 1125      9      74  428      49                ["fuck"] Were you just thinking, "Why have they saved this boring task for the end of the series?" Because fuck me, strap in, mate.      1
+## 1004 1004      9      67  389       2                ["dick"]                                                                                                    The stick and the dick.      1
+## 623   623      6      39  234      36                ["fuck"]                                                                                                            Oh, fucking...!      0
+## 905   905      8      59  347      43                ["fuck"]                                                              "You may not leave the room." Fuck it, let's do that as well.      0
+## 645   645      6      40  240      36             ["bastard"]                                                                             I'm just gonna have to Sellotape this bastard.      0
+## 934   934      8      62  364       2                ["shit"]                                                                                                              It's so shit!      1
+
+
+ +See profanity Summary! + +
data_sample_list[["profanity"]]$data_summary
+
## query_output 
+## 
+##  8  Variables      2041  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     2041        0     2041        1     1021    680.7      103      205      511     1021     1531     1837     1939 
+## 
+## lowest :    1    2    3    4    5, highest: 2037 2038 2039 2040 2041
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     2041        0       21    0.996    8.271    5.597        1        2        5        8       12       15       16 
+## 
+## lowest : -5 -4 -3 -2 -1, highest: 12 13 14 15 16
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episode 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     2041        0      148        1    70.17    49.61        6       12       34       67      108      132      141 
+## 
+## lowest :   1   2   3   4   5, highest: 144 145 146 147 148
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     2026       15      647        1    399.2      274    36.25    67.00   204.00   396.50   603.75   734.00   781.00 
+## 
+## lowest :   1   2   3   4   6, highest: 814 815 816 817 818
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## speaker 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     2041        0       99    0.974    36.44    37.98        2        2        2       34       63       91      101 
+## 
+## lowest :   0   1   2   3   4, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## roots 
+##        n  missing distinct 
+##     2041        0       69 
+## 
+## lowest : ["ass/arse","ass/arse"]                     ["ass/arse","bitch"]                        ["ass/arse"]                                ["bastard","bastard"]                       ["bastard"]                                , highest: ["twat"]                                    ["wank","cock"]                             ["wank","fuck","shit","cunt","tits","cock"] ["wank"]                                    ["whore"]                                  
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## quote 
+##        n  missing distinct 
+##     2041        0     1791 
+## 
+## lowest : 'Cause I thought I might have a shit while it was brewing.                                                         'Cause it ended up being dogshit!                                                                                  'Cause water's very fundamental to building sand bridges, ain't it? I'm sure that was on Countryfile or some shit. "'Fuck off!' roared Alex, grabbing the axe."                                                                       "And tiny bitch-puppet, Alex Horne."                                                                              
+## highest: You wouldn't have "activated Jamali" at all if he hadn't said "What the fuck am I doing?"                          You wouldn't take some prick with a blow-up walking stick.                                                         You, sir, are shit.                                                                                                Your trophy's been pissed on already.                                                                              Yours looks like a sort of naan matador gone wrong. Fuckin' horrifying!                                           
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## studio 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##     2041        0        2    0.736     1158   0.5674   0.4912 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

series

+

The series table details information at a series level. Information includes the number of episodes in the series, the champion, the total number of brodcasted tasks, and the total number of points awarded. Logistical information such as dates associated with the airing and studio record, and whether the series is a special is also available.

+

TMI is a id for the taskmaster.info website.

+

Further analysis of this table indicates that only information pertaining to the UK series of Taskmaster (regular and New Years Treat specials), are available.

+
+ +See series Sample! + +
data_sample_list[["series"]]$data_sample
+
##    id      name episodes champion  air_start    air_end studio_start studio_end points tasks special TMI
+## 16  9  Series 9       10       49 2019-09-04 2019-11-06   2019-07-18 2019-07-24    766    51       0  10
+## 22 15 Series 15       10      102 2023-03-30 2023-06-01   2022-09-22 2022-09-28    765    50       0  56
+## 5  -3  NYT 2022        1       73 2022-01-01 2022-01-01         <NA>       <NA>     68     5       1  47
+## 12  5  Series 5        8       24 2017-09-13 2017-11-01   2017-07-03 2017-07-06    631    44       0   5
+## 15  8  Series 8       10       45 2019-05-08 2019-07-10   2019-03-21 2019-03-27    749    54       0   9
+## 9   2  Series 2        5       11 2016-06-21 2016-07-19         <NA>       <NA>    417    28       0   2
+## 21 14 Series 14       10       88 2022-09-29 2022-12-01   2022-04-28 2022-05-05    796    52       0  55
+## 6  -2  NYT 2021        1       62 2021-01-01 2021-01-01         <NA>       <NA>     62     5       1  12
+## 4  -4    CoC II        1       87 2022-06-23 2022-06-23   2021-09-15 2021-09-15     66     5       1  46
+## 2  -6  NYT 2024        0       NA 2024-01-01 2024-01-01   2023-11-27 2023-11-27     NA    NA       1  87
+
+
+ +See series Summary! + +
data_sample_list[["series"]]$data_summary
+
## query_output 
+## 
+##  12  Variables      23  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       23        0       23        1    4.696    8.443     -5.9     -4.8     -1.5      5.0     10.5     13.8     14.9 
+## 
+## lowest : -7 -6 -5 -4 -3, highest: 12 13 14 15 16
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## name 
+##        n  missing distinct 
+##       23        0       23 
+## 
+## lowest : CoC      CoC II   CoC III  NYT 2021 NYT 2022, highest: Series 5 Series 6 Series 7 Series 8 Series 9
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episodes 
+##        n  missing distinct     Info     Mean      Gmd 
+##       23        0        7    0.885    6.435    4.466 
+##                                                     
+## Value          0     1     2     5     6     8    10
+## Frequency      2     4     1     2     1     2    11
+## Proportion 0.087 0.174 0.043 0.087 0.043 0.087 0.478
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## champion 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       21        2       21        1    55.48    36.91       11       16       29       57       82       96      102 
+## 
+## lowest :   4  11  16  22  24, highest:  87  88  96 102 105
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## air_start 
+##        n  missing distinct 
+##       23        0       23 
+## 
+## lowest : 2015-07-28 2016-06-21 2016-10-04 2017-04-25 2017-09-13, highest: 2023-01-01 2023-03-30 2023-09-21 2024-??-?? 2024-01-01
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## air_end 
+##        n  missing distinct 
+##       23        0       23 
+## 
+## lowest : 2015-09-01 2016-07-19 2016-11-01 2017-06-13 2017-11-01, highest: 2023-01-01 2023-06-01 2023-11-23 2024-??-?? 2024-01-01
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## studio_start 
+##        n  missing distinct 
+##       16        7       16 
+##                                                                                                                                                                                           
+## Value      2015-03-23 2017-07-03 2017-11-20 2018-03-22 2018-07-19 2019-03-21 2019-07-18 2020-07-25 2021-09-15 2021-09-16 2022-04-28 2022-09-22 2022-11-22 2023-05-02 2023-11-27 2023-11-28
+## Frequency           1          1          1          1          1          1          1          1          1          1          1          1          1          1          1          1
+## Proportion      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## studio_end 
+##        n  missing distinct 
+##       16        7       16 
+##                                                                                                                                                                                           
+## Value      2015-03-25 2017-07-06 2017-11-20 2018-03-28 2018-07-25 2019-03-27 2019-07-24 2020-07-29 2021-09-15 2021-09-22 2022-05-05 2022-09-28 2022-11-22 2023-05-12 2023-11-27 2023-11-28
+## Frequency           1          1          1          1          1          1          1          1          1          1          1          1          1          1          1          1
+## Proportion      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062      0.062
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## points 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       21        2       21        1    545.2    319.3       66       68      386      721      766      796      816 
+## 
+## lowest :  62  66  68  76 164, highest: 778 795 796 816 837
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## tasks 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       21        2       13    0.984     37.1    21.22        5        5       27       50       51       54       56 
+##                                                                                         
+## Value          5    10    27    28    32    44    46    50    51    52    54    56    57
+## Frequency      4     1     1     1     1     1     1     4     3     1     1     1     1
+## Proportion 0.190 0.048 0.048 0.048 0.048 0.048 0.048 0.190 0.143 0.048 0.048 0.048 0.048
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## special 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##       23        0        2    0.636        7   0.3043   0.4427 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## TMI 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       23        0       23        1    31.04    32.67      2.1      3.2      6.5     12.0     51.5     71.6     85.6 
+## 
+## lowest :  1  2  3  4  5, highest: 56 66 73 87 88
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

series_scores

+

The series_scores table provides (series, contestant information). Namely, this is the score at the end of the series, and their overall rank within the series.

+
+ +See series_scores Sample! + +
data_sample_list[["series_scores"]]$data_sample
+
##      id series contestant score rank
+## 28   28     -1         30    35    3
+## 80   80     13         82   173    1
+## 22   22      5         24   138    1
+## 101 101     16        103   155    2
+## 9     9      2         11    94    1
+## 5     5      1          7    88    4
+## 38   38      7         40   176    1
+## 16   16      4         18   129    4
+## 4     4      1          6    93   2=
+## 86   86     14         88   184    1
+
+
+ +See series_scores Summary! + +
data_sample_list[["series_scores"]]$data_summary
+
## query_output 
+## 
+##  5  Variables      105  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      105        0      105        1       53    35.33      6.2     11.4     27.0     53.0     79.0     94.6     99.8 
+## 
+## lowest :   1   2   3   4   5, highest: 101 102 103 104 105
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      105        0       21    0.998    5.762    7.418       -4       -3        1        6       11       14       15 
+## 
+## lowest : -5 -4 -3 -2 -1, highest: 12 13 14 15 16
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## contestant 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      105        0      105        1       55    35.33      8.2     13.4     29.0     55.0     81.0     96.6    101.8 
+## 
+## lowest :   3   4   5   6   7, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## score 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      105        0       69        1      109    64.45     12.0     14.0     68.0    133.0    157.0    167.6    174.0 
+## 
+## lowest :   6  10  11  12  13, highest: 174 175 176 181 184
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## rank 
+##        n  missing distinct 
+##      105        0        8 
+##                                                           
+## Value          1     2    2=     3    3=     4    4=     5
+## Frequency     21    18     8    16     4    16     4    18
+## Proportion 0.200 0.171 0.076 0.152 0.038 0.152 0.038 0.171
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

special_locations

+

The special_locations table has information for the location based tasks outside of the Taskmaster house. This includes the name and the latitude and longitude co-ordinates (latlong).

+
+ +See special_locations Sample! + +
data_sample_list[["special_locations"]]$data_sample
+
##    id                             name               latlong
+## 28 28                  Wormsley Estate -0.9316485,51.6428272
+## 16 16                 J P S Stationers -0.6131217,51.7036744
+## 26 26   Gatwick Airport South Terminal -0.1631023,51.1557464
+## 22 22 Dukes Meadows Golf, Tennis & Ski -0.2653105,51.4737559
+## 5   5                  Northala Fields -0.3716583,51.5396963
+## 12 12     Chesham United Football Club  -0.613986,51.6988773
+## 15 15        Girl Guiding Headquarters -0.6168708,51.7049596
+## 9   9           Barn Elms Sports Trust -0.2328479,51.4741326
+## 24 24         Chiltern Open Air Museum -0.5422757,51.6358058
+## 6   6                Chesham Town Hall -0.6138502,51.7048446
+
+
+ +See series Summary! + +
data_sample_list[["special_locations"]]$data_summary
+
## query_output 
+## 
+##  3  Variables      28  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       28        0       28        1     14.5    9.667     2.35     3.70     7.75    14.50    21.25    25.30    26.65 
+## 
+## lowest :  1  2  3  4  5, highest: 24 25 26 27 28
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## name 
+##        n  missing distinct 
+##       28        0       28 
+## 
+## lowest : All Saints Pastoral Centre     Barn Elms Sports Trust         Barnes Hockey Club             Barnes Sports Club             Buckinghamshire Railway Centre, highest: Thames Riverbank               The Black Horse Inn            White Waltham Airfield         Woodrow High House             Wormsley Estate               
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## latlong 
+##        n  missing distinct 
+##       28        0       28 
+## 
+## lowest : -0.043288,51.4979182  -0.1631023,51.1557464 -0.2328479,51.4741326 -0.2477399,51.477788  -0.2522033,51.4765784, highest: -0.7557284,51.6302973 -0.7735901,51.4945097 -0.7917774,51.1575941 -0.9280446,51.8644793 -0.9316485,51.6428272
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

task_briefs

+

The task_briefs table, as the name suggests provides the exact brief that was provided to contestants.

+
+ +See task_briefs Sample! + +
data_sample_list[["task_briefs"]]$data_sample
+
##      id task                                                                                                                                                                                                                                                                                                                                                                                       brief
+## 284 284  284                 Dramatically alter your appearance.\nMost dramatic alteration wins.\nYou may start altering your appearance when you are inside the lift and the doors are closed.\nYou must stop altering your appearance when the doors open again.\nYou may inspect the contents of the briefcase for five minutes before the lift doors open for the first time.\nYour time starts now.
+## 101 101  101                                                                                                                                                                                                                                       Paint the best picture of the Taskmaster.\nOnly the paint and brush may touch the mat, easel and canvas.\nYou have 10 minutes.\nYour time starts now.
+## 623 623  623                                                                                                                    Answer Alex's phone call.\nIf you find a cuddly toy, you must carry it with you until you answer Alex's phone call.\nAlso, you must be making a noise over 50 decibels for at least 50% of the time until you answer Alex's phone.\nFastest wins.\nYour time starts now.
+## 645 645  645                                                       Poke a part of your body out of the shower curtain and waggle it about for 10 seconds.\nThe Taskmaster will guess what part of the body it is.\nThe biggest part of the body that the Taskmaster incorrectly identifies wins.\nYou must poke your body part out of the shower curtain and waggle it about within the next 15 minutes.
+## 400 400  400                                                                                                                                                                                                                                                                                                                                                            Bring in the best defunct thing.
+## 98   98   98                                   Make the most juice.\nYou must pick one fruit and one tool.\nIf you pick the same tool as someone else, you must juice blindfolded.\nIf you pick the same fruit as someone else, you must juice one-handed.\nIf you pick the same fruit and tool as someone else, you must juice blindfolded, one-handed, and bouncing up and down.\nYou have one minute.
+## 103 103  103                                                                      Without touching the egg or the eggcup, get the egg into the eggcup.\nYou may only use the equipment currently on the table.\nIf you touch a piece of equipment that another contestant touches, you will both receive a one minute time penalty per piece of equipment touched.\nFastest wins.\nYour time starts now.
+## 726 726  726                                                                                                                                                                                                                                                                                                                                                             Bring in the most heroic thing.
+## 602 602  602 Count to 13 as a group, each player taking it in turns to say a number.\nEvery time you say an odd number, you must also squat.\nEvery time you say an even number, you must also jump.\nIf you make a mistake, you are out.\nIf you reach 13, or someone is eliminated, other rules will be introduced.\nIf the Taskmaster thinks you have hesitated for too long, you will be eliminated.
+## 326 326  326                                      Alex is on the bridge in the distance with lights on his head.\nGet as close as you can to Alex without him noticing you.\nAlex will duck down the wall for 10 seconds, then pop up for 10 seconds, then duck down for 10 seconds and so on until he notices you.\nThe task starts when Alex first ducks down behind the wall, in one minute from now.
+
+
+ +See task_briefs Summary! + +
data_sample_list[["task_briefs"]]$data_summary
+
## query_output 
+## 
+##  3  Variables      819  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      819        0      819        1      410    273.3     41.9     82.8    205.5    410.0    614.5    737.2    778.1 
+## 
+## lowest :   1   2   3   4   5, highest: 815 816 817 818 819
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      819        0      819        1      410    273.3     41.9     82.8    205.5    410.0    614.5    737.2    778.1 
+## 
+## lowest :   1   2   3   4   5, highest: 815 816 817 818 819
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## brief 
+##        n  missing distinct 
+##      819        0      819 
+## 
+## lowest : Accurately and emotionally recreate a great moment from history using these two traffic cones.
+## Most accurate and emotional recreation wins.
+## You've got 30 minutes.
+## Your time starts now.                                                                                                                                                                Achieve a rally of exactly 24 shots.
+## You much each take the same amount of shots.
+## You must be stood at least 6’8” apart from one another.
+## The object stuck must neither touch the ground nor be held at any point during the rally.
+## There is a bonus point for the team which uses the most ambitious equipment.
+## Fastest wins.
+## Your time starts now. Achieve the greatest splat.
+## One teammate must be splatted for the splat to be valid.
+## You have 10 minutes to choose your splatting materials, and then 10 minutes to pull off your splat.
+## Your time starts now.                                                                                                                                          Achieve the most impressive effect with a single breath.
+## You must take your breath and achieve your effect within the next 20 minutes.                                                                                                                                                                                                                    Act out the nursery rhymes for the Taskmaster to guess.
+## Each team has three minutes to act out their nursery rhymes.
+## Most nursery rhymes guessed by the taskmaster wins.
+## You must remain silent and on your spots throughout.                                                                                                                          
+## highest: Write the name of a different animal on each face of your dice.
+## You have 100 seconds.                                                                                                                                                                                                                                                                     Write the name of a profession in this hole then open the task.
+## 
+## Perform an original lullaby for [your profession].
+## Most soporific profession-specific lullaby wins.
+## You have 30 minutes.
+## Your time starts now.                                                                                                                                       Write your name and draw a picture of a happy horse on your overhead projector acetate, upside-down.
+## You must not rotate or manipulate your acetate.
+## You have 100 seconds.
+## Most accurate picture and writing when your acetate is overhead projected wins.                                                                                              Write, illustrate and read out a bedtime story for grown-ups.
+## Your bedtime story for grown-ups may be no more or fewer than 50 words.
+## Most engrossing bedtime story for grown-ups wins.
+## You have one hour.
+## Your time starts now.                                                                                                                       You will each be given a category.
+## You each have 10 seconds to say things that fall into that category.
+## First, you must each predict how many correct answers you will give.
+## The person who has successfully predicted the highest number wins.                                                                                                        
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

task_readers

+

The task_readers table contains information on which contestant (reader) read a particular task, whether the task was a team task, and if the task was live or not.

+

Note, that a task can have multiple readers associated with it as it is common for multiple readers to be edited together in a show.

+
+ +See task_readers Sample! + +
data_sample_list[["task_readers"]]$data_sample
+
##      id task reader team live
+## 284 284  785    103    1    0
+## 101 101  315     40    1    0
+## 111 111  343     47    1    0
+## 133 133  388     50    0    1
+## 98   98  303     39    1    0
+## 103 103  316     39    0    1
+## 214 214  615     80    1    0
+## 90   90  286     38    0    1
+## 79   79  252     33    0    1
+## 270 270  755     98    1    1
+
+
+ +See task_readers Summary! + +
data_sample_list[["task_readers"]]$data_summary
+
## query_output 
+## 
+##  5  Variables      300  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      300        0      300        1    150.5    100.3    15.95    30.90    75.75   150.50   225.25   270.10   285.05 
+## 
+## lowest :   1   2   3   4   5, highest: 296 297 298 299 300
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      300        0      218        1    435.6    272.5    58.75    91.00   238.00   437.50   650.00   755.20   785.10 
+## 
+## lowest :   5  11  17  23  26, highest: 806 809 814 818 819
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## reader 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      300        0       86        1    55.08    36.19     4.00    12.00    33.75    51.00    82.00   101.10   104.05 
+## 
+## lowest :   1   3   4   5   6, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## team 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##      300        0        2    0.746      161   0.5367    0.499 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## live 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##      300        0        2    0.749      155   0.5167   0.5011 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

task_winners

+

The task_winners table naturally has all the information about the contestant(s) who won the task (winner), whether it was a team task, and if it was a live task or not.

+
+ +See task_winners Sample! + +
data_sample_list[["task_winners"]]$data_sample
+
##        id task winner team live
+## 1018 1018  805    106    0    0
+## 1004 1004  796    103    1    0
+## 623   623  511     64    0    0
+## 905   905  723     99    1    0
+## 645   645  527     66    0    0
+## 934   934  747     99    0    0
+## 400   400  335     47    0    0
+## 900   900  721    101    0    0
+## 98     98   86     13    1    0
+## 726   726  590     72    1    0
+
+
+ +See task_winners Summary! + +
data_sample_list[["task_winners"]]$data_summary
+
## query_output 
+## 
+##  5  Variables      1036  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     1036        0     1036        1    518.5    345.7    52.75   104.50   259.75   518.50   777.25   932.50   984.25 
+## 
+## lowest :    1    2    3    4    5, highest: 1032 1033 1034 1035 1036
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     1036        0      795        1    423.4    272.9    45.75    91.00   226.00   424.50   633.25   745.50   780.25 
+## 
+## lowest :   1   2   3   4   5, highest: 815 816 817 818 819
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## winner 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##     1036        0       99        1     55.8     34.2       10       16       34       52       80      101      104 
+## 
+## lowest :   3   4   5   6   7, highest: 103 104 105 106 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## team 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##     1036        0        2    0.546      248   0.2394   0.3645 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## live 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##     1036        0        2     0.48      207   0.1998   0.3201 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

tasks

+

The tasks table has high level data about tasks that is mostly independent of the contestants and the outcome. This includes the series and episode that the task featured in, the main summary of the task. Categorisation of the task is also available such as whether it is a subjective or objective task, if it is TM UK original, if it was filmed or live.

+
    +
  • The location field in this table is not limited to the special_locations but also the whereabouts in the TM house, and the studio.
  • +
  • The points field highlights the total number of points distributed to contestants by the Taskmaster.
  • +
  • std is a flag to denote whether the task was standard (one having 5 judged attempts)
  • +
  • YT is a YouTube link to the corresponding episode and timestamp of that particular task.
  • +
+
+ +See tasks Sample! + +
data_sample_list[["tasks"]]$data_sample
+
##      id series episode                                                         summary                                                                                             tags           location points std  TMI               YT
+## 284 284      7      48                                Change your appearance in a lift                   ["solo","filmed","creative","physical","subjective","single-brief","original"]                 17     15   1  284 M0ZbPzHUiAo|1050
+## 101 101      4      18 Paint a portrait of the Taskmaster without touching the red mat ["solo","filmed","creative","mental","physical","subjective","single-brief","original","handly"]           doorstep     14   1  101  FM73_GZGDbA|832
+## 623 623     13     111                                        Answer Alex's phone call                      ["solo","filmed","mental","physical","objective","single-brief","original"]             lounge     15   1 1947 UOasWQl-Tww|1813
+## 645 645     13     115                      Poke a body part out of the shower curtain                    ["solo","filmed","creative","physical","objective","single-brief","original"] behind the caravan     14   1 2001 bPZ47tW4dOQ|1705
+## 400 400      9      69                                          The best defunct thing                               ["solo","prize","creative","subjective","single-brief","original"]              seats     15   1  401  G_0_mIgC-fw|164
+## 98   98      4      17                                       Make the most fruit juice                                 ["solo","live","physical","objective","single-brief","original"]              stage     15   1   98 DpV3rweizNA|2322
+## 103 103      4      18                Put an egg in an egg cup without touching either                      ["solo","filmed","mental","physical","objective","single-brief","original"]                lab     15   1  103 FM73_GZGDbA|1835
+## 726 726     15     131                                           The most heroic thing                               ["solo","prize","creative","subjective","single-brief","original"]              seats     15   1 2507  7-cPcNMEehU|168
+## 602 602     13     107                                                     Count to 13                                   ["solo","live","mental","objective","single-brief","original"]              stage     15   1 1871 Tv_q0RMaV6Y|2416
+## 326 326      8      55                                                Sneak up on Alex                      ["solo","filmed","physical","social","objective","single-brief","original"]                 18     16   1  327 39n5LJel7qk|1708
+
+
+ +See tasks Summary! + +
data_sample_list[["tasks"]]$data_summary
+
## query_output 
+## 
+##  10  Variables      819  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      819        0      819        1      410    273.3     41.9     82.8    205.5    410.0    614.5    737.2    778.1 
+## 
+## lowest :   1   2   3   4   5, highest: 815 816 817 818 819
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      819        0       21    0.996    8.549    5.522        1        2        5        9       13       15       16 
+## 
+## lowest : -5 -4 -3 -2 -1, highest: 12 13 14 15 16
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episode 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      819        0      148        1    72.18    49.65      7.0     14.8     34.5     71.0    110.0    133.0    141.0 
+## 
+## lowest :   1   2   3   4   5, highest: 144 145 146 147 148
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## summary 
+##        n  missing distinct 
+##      819        0      817 
+## 
+## lowest : A photo of an object that looks like you               Achieve an impressive effect with a single breath      Act out nursery rhymes                                 An upside-down condiment self-portrait                 Anchor balloons using bread                           , highest: Write and perform a 30-second jingle                   Write and perform a song about a stranger              Write and perform lyrics for the Taskmaster theme tune Write down things that fit the category                Zipwire items to the Taskmaster                       
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## tags 
+##        n  missing distinct 
+##      819        0      200 
+## 
+## lowest : ["solo","filmed","creative","combination","single-brief","original","novel-brief"]                             ["solo","filmed","creative","mental","physical","objective","single-brief","adapted"]                          ["solo","filmed","creative","mental","physical","objective","single-brief","original","bonus-points","handly"] ["solo","filmed","creative","mental","physical","objective","single-brief","original","bonus-points"]          ["solo","filmed","creative","mental","physical","objective","single-brief","original"]                        
+## highest: ["team","split","filmed","mental","physical","subjective","single-brief","original"]                           ["team","split","filmed","mental","social","objective","single-brief","original"]                              ["team","split","filmed","physical","social","objective","multiple-brief","original"]                          ["team","split","filmed","physical","social","objective","single-brief","adapted"]                             ["team","split","filmed","physical","social","objective","single-brief","original"]                           
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## location 
+##        n  missing distinct 
+##      819        0       65 
+## 
+## lowest : 1             10            11            12            13           , highest: shed entryway split special stage         studio        unknown      
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## points 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      782       37       28    0.913    14.65    3.681     5.05    10.00    14.00    15.00    16.00    18.00    20.00 
+## 
+## lowest :  0  1  2  3  4, highest: 23 24 25 30 50
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## std 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##      819        0        2    0.139      779   0.9512  0.09302 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## TMI 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      814        5      814        1      926    993.8    41.65    82.30   204.25   408.50  1908.75  2519.70  2725.35 
+## 
+## lowest :    1    2    3    4    5, highest: 2845 2846 2847 2848 2849
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## YT 
+##        n  missing distinct 
+##      819        0      819 
+## 
+## lowest : __fkje7NnP4|1210 __fkje7NnP4|162  __fkje7NnP4|1946 __fkje7NnP4|2478 __fkje7NnP4|408 , highest: ZWmqBUj680A|168  ZWmqBUj680A|1806 ZWmqBUj680A|2351 ZWmqBUj680A|430  ZWmqBUj680A|976 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

tasks_by_objective

+

The tasks_by_objective table provides a high level overview of the task and the objective (the measurement and desired direction to be deemed successful).

+
+ +See tasks_by_objective Sample! + +
data_sample_list[["tasks_by_objective"]]$data_sample
+
##      id task objective
+## 284 284  565        35
+## 336 336  662         1
+## 406 406  787       173
+## 101 101  188        54
+## 111 111  210        60
+## 393 393  768        48
+## 133 133  259        73
+## 400 400  779         2
+## 388 388  758       168
+## 98   98  184        51
+
+
+ +See tasks_by_objective Summary! + +
data_sample_list[["tasks_by_objective"]]$data_summary
+
## query_output 
+## 
+##  3  Variables      425  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      425        0      425        1      213      142     22.2     43.4    107.0    213.0    319.0    382.6    403.8 
+## 
+## lowest :   1   2   3   4   5, highest: 421 422 423 424 425
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      425        0      391        1      418    280.9     37.4     73.8    202.0    439.0    627.0    745.8    781.6 
+## 
+## lowest :   2   4   6   8   9, highest: 809 811 813 814 819
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## objective 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      425        0      179    0.968    48.86    57.95      2.0      2.0      2.0     32.0     91.0    138.6    159.8 
+## 
+## lowest :   1   2   3   4   5, highest: 175 176 177 178 179
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

team_tasks

+

The team_tasks table focuses just on team tasks, the teams involved (team), and whether that particular team won (win).

+
+ +See team_tasks Sample! + +
data_sample_list[["team_tasks"]]$data_sample
+
##      id task team win
+## 28   28  155   10   0
+## 80   80  403   18   1
+## 150 150  670   32   1
+## 101 101  481   21   1
+## 111 111  518   25   1
+## 137 137  615   29   1
+## 133 133  606   29   1
+## 166 166  729   34   0
+## 144 144  650   30   1
+## 132 132  590   28   0
+
+
+ +See team_tasks Summary! + +
data_sample_list[["team_tasks"]]$data_summary
+
## query_output 
+## 
+##  4  Variables      190  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      190        0      190        1     95.5    63.67    10.45    19.90    48.25    95.50   142.75   171.10   180.55 
+## 
+## lowest :   1   2   3   4   5, highest: 186 187 188 189 190
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      190        0       95        1    448.6    261.4     60.8    102.0    277.0    462.0    647.8    748.0    776.1 
+## 
+## lowest :  23  30  35  53  59, highest: 782 785 796 809 818
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## team 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      190        0       36    0.999    20.99     11.6        4        7       13       22       30       34       35 
+## 
+## lowest :  1  2  3  4  5, highest: 32 33 34 35 36
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## win 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##      190        0        2    0.746      102   0.5368   0.4999 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

teams

+

The teams table provides information on teams, regardless of the tasks themselves. The contestants who make up the team members, the size of the team, and whether the team is irregular or not, are also outlined.

+

An irregular team occurs on the rare occasion when the a team for a live task differs to the previous tasks (pre-recorded or live). This namely occurred in Series 9 when someone wanted to the see rage of Ed Gamble, and Series 10’s hippogate.

+
+ +See teams Sample! + +
data_sample_list[["teams"]]$data_sample
+
##    id series                      members size initials irregular
+## 28 28     12     Desiree, Guz and Morgana    3     DG+M         0
+## 16 16      8           Iain, Lou and Paul    3     IL+P         0
+## 22 22     10 Johnny, Katherine and Mawaan    3     JK+M         0
+## 9   9      5                Mark and Nish    2      M+N         0
+## 5   5      3                 Rob and Sara    2      R+S         0
+## 6   6      3            Al, Dave and Paul    3     AD+P         0
+## 35 35     16                Sue and Susan    2      S+S         0
+## 4   4      2       Doc, Joe and Katherine    3     DJ+K         0
+## 2   2      1      Josh, Roisin and Romesh    3     JR+R         0
+## 7   7      4                 Hugh and Mel    2      H+M         0
+
+
+ +See teams Summary! + +
data_sample_list[["teams"]]$data_summary
+
## query_output 
+## 
+##  6  Variables      36  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       36        0       36        1     18.5    12.33     2.75     4.50     9.75    18.50    27.25    32.50    34.25 
+## 
+## lowest :  1  2  3  4  5, highest: 32 33 34 35 36
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##       36        0       16    0.996    8.611    5.149     1.75     2.50     5.00     9.00    12.00    14.50    15.25 
+##                                                                                                           
+## Value          1     2     3     4     5     6     7     8     9    10    11    12    13    14    15    16
+## Frequency      2     2     2     2     2     2     2     2     4     4     2     2     2     2     2     2
+## Proportion 0.056 0.056 0.056 0.056 0.056 0.056 0.056 0.056 0.111 0.111 0.056 0.056 0.056 0.056 0.056 0.056
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## members 
+##        n  missing distinct 
+##       36        0       36 
+## 
+## lowest : Aisling, Bob and Sally Al, Dave and Paul      Alan and Victoria      Alice and Russell      Ardal and Chris       , highest: Lee and Mike           Mark and Nish          Munya and Sarah        Rob and Sara           Sue and Susan         
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## size 
+##        n  missing distinct     Info     Mean      Gmd 
+##       36        0        2    0.751      2.5   0.5143 
+##                   
+## Value        2   3
+## Frequency   18  18
+## Proportion 0.5 0.5
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## initials 
+##        n  missing distinct 
+##       36        0       35 
+## 
+## lowest : A+C  A+R  A+V  AB+S AD+P, highest: L+M  M+N  M+S  R+S  S+S 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## irregular 
+##        n  missing distinct     Info      Sum     Mean      Gmd 
+##       36        0        2    0.297        4   0.1111   0.2032 
+## 
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

title_coiners

+

The title_coiners table archives all episode titles, who was responsible for the title (coiner, not limited to contestants and is sometimes blank as it could refer to a general vibe), and during which task the title was uttered in.

+
+ +See title_coiners Sample! + +
data_sample_list[["title_coiners"]]$data_sample
+
##      id episode coiner task
+## 28   28      28     24  163
+## 80   80      80     NA  462
+## 101 101     101     72  570
+## 111 111     111     78  624
+## 137 137     137     98  757
+## 133 133     133      2  738
+## 132 132     132    101  733
+## 98   98      98      2  555
+## 103 103     103     70  578
+## 90   90      90      2  514
+
+
+ +See title_coiners Summary! + +
data_sample_list[["title_coiners"]]$data_summary
+
## query_output 
+## 
+##  4  Variables      148  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0      148        1     74.5    49.67     8.35    15.70    37.75    74.50   111.25   133.30   140.65 
+## 
+## lowest :   1   2   3   4   5, highest: 144 145 146 147 148
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episode 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0      148        1     74.5    49.67     8.35    15.70    37.75    74.50   111.25   133.30   140.65 
+## 
+## lowest :   1   2   3   4   5, highest: 144 145 146 147 148
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## coiner 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      142        6       50    0.978    39.76    42.46      1.0      2.0      2.0     34.0     78.0     98.0    102.9 
+## 
+## lowest :   1   2   5   7   9, highest: 102 103 104 105 107
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## task 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0      148        1      423    272.9    48.05    88.80   224.00   431.00   625.25   739.80   777.90 
+## 
+## lowest :   2   9  16  20  31, highest: 797 803 807 812 818
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+

title_stats

+

The title_stats table is an insights based table providing various on the statistics on the episode titles, namely the number of words and syllables in the title.

+
+ +See title_stats Sample! + +
data_sample_list[["title_stats"]]$data_sample
+
##      id series episode                     title words syllables
+## 28   28      5       4  Residue around the hoof.     4         7
+## 80   80     10       6             Hippopotamus.     1         5
+## 101 101     12       6       A chair in a sweet.     5         5
+## 111 111     13       5  Having a little chuckle.     4         7
+## 137 137     15       9    A show about pedantry.     4         7
+## 133 133     15       5             Old Honkfoot.     2         3
+## 132 132     15       4   How heavy is the water?     5         7
+## 98   98     12       3 The end of the franchise.     5         6
+## 103 103     12       8       A couple of Ethels.     4         6
+## 90   90     11       5            Slap and tong.     3         3
+
+
+ +See title_stats Summary! + +
data_sample_list[["title_stats"]]$data_summary
+
## query_output 
+## 
+##  6  Variables      148  Observations
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## id 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0      148        1     74.5    49.67     8.35    15.70    37.75    74.50   111.25   133.30   140.65 
+## 
+## lowest :   1   2   3   4   5, highest: 144 145 146 147 148
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## series 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0       21    0.996    8.764    5.553        1        2        5        9       13       15       16 
+## 
+## lowest : -5 -4 -3 -2 -1, highest: 12 13 14 15 16
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## episode 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0       10    0.989    4.966    3.286        1        1        2        5        7        9       10 
+##                                                                       
+## Value          1     2     3     4     5     6     7     8     9    10
+## Frequency     21    17    16    16    16    14    13    13    11    11
+## Proportion 0.142 0.115 0.108 0.108 0.108 0.095 0.088 0.088 0.074 0.074
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## title 
+##        n  missing distinct 
+##      148        0      148 
+## 
+## lowest : 100% Bosco.              A chair in a sweet.      A coquettish fascinator. A couple of Ethels.      A cuddle.               , highest: Welcome to Rico Face.    What kind of pictures?   Wiley giraffe blower.    You've got no chutzpah.  You tuper super.        
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## words 
+##        n  missing distinct     Info     Mean      Gmd 
+##      148        0        7     0.95    3.338    1.443 
+##                                                     
+## Value          1     2     3     4     5     6     7
+## Frequency     13    26    42    37    26     3     1
+## Proportion 0.088 0.176 0.284 0.250 0.176 0.020 0.007
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+## syllables 
+##        n  missing distinct     Info     Mean      Gmd      .05      .10      .25      .50      .75      .90      .95 
+##      148        0       10    0.968    5.081    2.032        2        3        4        5        6        7        8 
+##                                                                       
+## Value          1     2     3     4     5     6     7     8     9    11
+## Frequency      4     6    16    30    37    24    20     4     5     2
+## Proportion 0.027 0.041 0.108 0.203 0.250 0.162 0.135 0.027 0.034 0.014
+## 
+## For the frequency table, variable is rounded to the nearest 0
+## ----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
+
+
+
+
+
+
    +
  1. This is definitely the corporate side of me talking. If you’ve ever experienced with dealing with large scale systems with multiple moving parts, limited resources and knowing what hard bottlenecks in your work, you’ll know what I mean.↩︎

  2. +
  3. Honestly, I didn’t know that points had gone misplaced. I should return my card to the TM fan club…↩︎

  4. +
  5. I’m not a big fan of “1=”, etc. being used to denote a tied ranking. It ultimately means the field is no longer an integer and needs additional care to be treated correctly.↩︎

  6. +
  7. I’m very surprised that such a dataset exists, and someone has gone to the effort of dissecting each intro sequence to such a minutiae. Saying that, this is the TM fan base…↩︎

  8. +
+
+ +
+ + + + +
+
+ +
+ + diff --git a/public/2024/08/tdlm-data-dictionary/index_files/crosstalk/css/crosstalk.min.css b/public/2024/08/tdlm-data-dictionary/index_files/crosstalk/css/crosstalk.min.css new file mode 100644 index 0000000..6b45382 --- /dev/null +++ b/public/2024/08/tdlm-data-dictionary/index_files/crosstalk/css/crosstalk.min.css @@ -0,0 +1 @@ +.container-fluid.crosstalk-bscols{margin-left:-30px;margin-right:-30px;white-space:normal}body>.container-fluid.crosstalk-bscols{margin-left:auto;margin-right:auto}.crosstalk-input-checkboxgroup .crosstalk-options-group .crosstalk-options-column{display:inline-block;padding-right:12px;vertical-align:top}@media only screen and (max-width: 480px){.crosstalk-input-checkboxgroup .crosstalk-options-group .crosstalk-options-column{display:block;padding-right:inherit}}.crosstalk-input{margin-bottom:15px}.crosstalk-input .control-label{margin-bottom:0;vertical-align:middle}.crosstalk-input input[type="checkbox"]{margin:4px 0 0;margin-top:1px;line-height:normal}.crosstalk-input .checkbox{position:relative;display:block;margin-top:10px;margin-bottom:10px}.crosstalk-input .checkbox>label{padding-left:20px;margin-bottom:0;font-weight:400;cursor:pointer}.crosstalk-input .checkbox input[type="checkbox"],.crosstalk-input .checkbox-inline input[type="checkbox"]{position:absolute;margin-top:2px;margin-left:-20px}.crosstalk-input .checkbox+.checkbox{margin-top:-5px}.crosstalk-input .checkbox-inline{position:relative;display:inline-block;padding-left:20px;margin-bottom:0;font-weight:400;vertical-align:middle;cursor:pointer}.crosstalk-input .checkbox-inline+.checkbox-inline{margin-top:0;margin-left:10px} diff --git a/public/2024/08/tdlm-data-dictionary/index_files/crosstalk/js/crosstalk.js b/public/2024/08/tdlm-data-dictionary/index_files/crosstalk/js/crosstalk.js new file mode 100644 index 0000000..fd9eb53 --- /dev/null +++ b/public/2024/08/tdlm-data-dictionary/index_files/crosstalk/js/crosstalk.js @@ -0,0 +1,1474 @@ +(function(){function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require=="function"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error("Cannot find module '"+o+"'");throw f.code="MODULE_NOT_FOUND",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require=="function"&&require;for(var o=0;o b) { + return 1; + } +} + +/** + * @private + */ + +var FilterSet = function () { + function FilterSet() { + _classCallCheck(this, FilterSet); + + this.reset(); + } + + _createClass(FilterSet, [{ + key: "reset", + value: function reset() { + // Key: handle ID, Value: array of selected keys, or null + this._handles = {}; + // Key: key string, Value: count of handles that include it + this._keys = {}; + this._value = null; + this._activeHandles = 0; + } + }, { + key: "update", + value: function update(handleId, keys) { + if (keys !== null) { + keys = keys.slice(0); // clone before sorting + keys.sort(naturalComparator); + } + + var _diffSortedLists = (0, _util.diffSortedLists)(this._handles[handleId], keys), + added = _diffSortedLists.added, + removed = _diffSortedLists.removed; + + this._handles[handleId] = keys; + + for (var i = 0; i < added.length; i++) { + this._keys[added[i]] = (this._keys[added[i]] || 0) + 1; + } + for (var _i = 0; _i < removed.length; _i++) { + this._keys[removed[_i]]--; + } + + this._updateValue(keys); + } + + /** + * @param {string[]} keys Sorted array of strings that indicate + * a superset of possible keys. + * @private + */ + + }, { + key: "_updateValue", + value: function _updateValue() { + var keys = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : this._allKeys; + + var handleCount = Object.keys(this._handles).length; + if (handleCount === 0) { + this._value = null; + } else { + this._value = []; + for (var i = 0; i < keys.length; i++) { + var count = this._keys[keys[i]]; + if (count === handleCount) { + this._value.push(keys[i]); + } + } + } + } + }, { + key: "clear", + value: function clear(handleId) { + if (typeof this._handles[handleId] === "undefined") { + return; + } + + var keys = this._handles[handleId]; + if (!keys) { + keys = []; + } + + for (var i = 0; i < keys.length; i++) { + this._keys[keys[i]]--; + } + delete this._handles[handleId]; + + this._updateValue(); + } + }, { + key: "value", + get: function get() { + return this._value; + } + }, { + key: "_allKeys", + get: function get() { + var allKeys = Object.keys(this._keys); + allKeys.sort(naturalComparator); + return allKeys; + } + }]); + + return FilterSet; +}(); + +exports.default = FilterSet; + +},{"./util":11}],4:[function(require,module,exports){ +(function (global){ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); + +var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }(); + +var _typeof = typeof Symbol === "function" && typeof Symbol.iterator === "symbol" ? function (obj) { return typeof obj; } : function (obj) { return obj && typeof Symbol === "function" && obj.constructor === Symbol && obj !== Symbol.prototype ? "symbol" : typeof obj; }; + +exports.default = group; + +var _var2 = require("./var"); + +var _var3 = _interopRequireDefault(_var2); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } + +// Use a global so that multiple copies of crosstalk.js can be loaded and still +// have groups behave as singletons across all copies. +global.__crosstalk_groups = global.__crosstalk_groups || {}; +var groups = global.__crosstalk_groups; + +function group(groupName) { + if (groupName && typeof groupName === "string") { + if (!groups.hasOwnProperty(groupName)) { + groups[groupName] = new Group(groupName); + } + return groups[groupName]; + } else if ((typeof groupName === "undefined" ? "undefined" : _typeof(groupName)) === "object" && groupName._vars && groupName.var) { + // Appears to already be a group object + return groupName; + } else if (Array.isArray(groupName) && groupName.length == 1 && typeof groupName[0] === "string") { + return group(groupName[0]); + } else { + throw new Error("Invalid groupName argument"); + } +} + +var Group = function () { + function Group(name) { + _classCallCheck(this, Group); + + this.name = name; + this._vars = {}; + } + + _createClass(Group, [{ + key: "var", + value: function _var(name) { + if (!name || typeof name !== "string") { + throw new Error("Invalid var name"); + } + + if (!this._vars.hasOwnProperty(name)) this._vars[name] = new _var3.default(this, name); + return this._vars[name]; + } + }, { + key: "has", + value: function has(name) { + if (!name || typeof name !== "string") { + throw new Error("Invalid var name"); + } + + return this._vars.hasOwnProperty(name); + } + }]); + + return Group; +}(); + +}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) + +},{"./var":12}],5:[function(require,module,exports){ +(function (global){ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); + +var _group = require("./group"); + +var _group2 = _interopRequireDefault(_group); + +var _selection = require("./selection"); + +var _filter = require("./filter"); + +var _input = require("./input"); + +require("./input_selectize"); + +require("./input_checkboxgroup"); + +require("./input_slider"); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +var defaultGroup = (0, _group2.default)("default"); + +function var_(name) { + return defaultGroup.var(name); +} + +function has(name) { + return defaultGroup.has(name); +} + +if (global.Shiny) { + global.Shiny.addCustomMessageHandler("update-client-value", function (message) { + if (typeof message.group === "string") { + (0, _group2.default)(message.group).var(message.name).set(message.value); + } else { + var_(message.name).set(message.value); + } + }); +} + +var crosstalk = { + group: _group2.default, + var: var_, + has: has, + SelectionHandle: _selection.SelectionHandle, + FilterHandle: _filter.FilterHandle, + bind: _input.bind +}; + +/** + * @namespace crosstalk + */ +exports.default = crosstalk; + +global.crosstalk = crosstalk; + +}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) + +},{"./filter":2,"./group":4,"./input":6,"./input_checkboxgroup":7,"./input_selectize":8,"./input_slider":9,"./selection":10}],6:[function(require,module,exports){ +(function (global){ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.register = register; +exports.bind = bind; +var $ = global.jQuery; + +var bindings = {}; + +function register(reg) { + bindings[reg.className] = reg; + if (global.document && global.document.readyState !== "complete") { + $(function () { + bind(); + }); + } else if (global.document) { + setTimeout(bind, 100); + } +} + +function bind() { + Object.keys(bindings).forEach(function (className) { + var binding = bindings[className]; + $("." + binding.className).not(".crosstalk-input-bound").each(function (i, el) { + bindInstance(binding, el); + }); + }); +} + +// Escape jQuery identifier +function $escape(val) { + return val.replace(/([!"#$%&'()*+,./:;<=>?@[\\\]^`{|}~])/g, "\\$1"); +} + +function bindEl(el) { + var $el = $(el); + Object.keys(bindings).forEach(function (className) { + if ($el.hasClass(className) && !$el.hasClass("crosstalk-input-bound")) { + var binding = bindings[className]; + bindInstance(binding, el); + } + }); +} + +function bindInstance(binding, el) { + var jsonEl = $(el).find("script[type='application/json'][data-for='" + $escape(el.id) + "']"); + var data = JSON.parse(jsonEl[0].innerText); + + var instance = binding.factory(el, data); + $(el).data("crosstalk-instance", instance); + $(el).addClass("crosstalk-input-bound"); +} + +if (global.Shiny) { + var inputBinding = new global.Shiny.InputBinding(); + var _$ = global.jQuery; + _$.extend(inputBinding, { + find: function find(scope) { + return _$(scope).find(".crosstalk-input"); + }, + initialize: function initialize(el) { + if (!_$(el).hasClass("crosstalk-input-bound")) { + bindEl(el); + } + }, + getId: function getId(el) { + return el.id; + }, + getValue: function getValue(el) {}, + setValue: function setValue(el, value) {}, + receiveMessage: function receiveMessage(el, data) {}, + subscribe: function subscribe(el, callback) { + _$(el).data("crosstalk-instance").resume(); + }, + unsubscribe: function unsubscribe(el) { + _$(el).data("crosstalk-instance").suspend(); + } + }); + global.Shiny.inputBindings.register(inputBinding, "crosstalk.inputBinding"); +} + +}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) + +},{}],7:[function(require,module,exports){ +(function (global){ +"use strict"; + +var _input = require("./input"); + +var input = _interopRequireWildcard(_input); + +var _filter = require("./filter"); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +var $ = global.jQuery; + +input.register({ + className: "crosstalk-input-checkboxgroup", + + factory: function factory(el, data) { + /* + * map: {"groupA": ["keyA", "keyB", ...], ...} + * group: "ct-groupname" + */ + var ctHandle = new _filter.FilterHandle(data.group); + + var lastKnownKeys = void 0; + var $el = $(el); + $el.on("change", "input[type='checkbox']", function () { + var checked = $el.find("input[type='checkbox']:checked"); + if (checked.length === 0) { + lastKnownKeys = null; + ctHandle.clear(); + } else { + var keys = {}; + checked.each(function () { + data.map[this.value].forEach(function (key) { + keys[key] = true; + }); + }); + var keyArray = Object.keys(keys); + keyArray.sort(); + lastKnownKeys = keyArray; + ctHandle.set(keyArray); + } + }); + + return { + suspend: function suspend() { + ctHandle.clear(); + }, + resume: function resume() { + if (lastKnownKeys) ctHandle.set(lastKnownKeys); + } + }; + } +}); + +}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) + +},{"./filter":2,"./input":6}],8:[function(require,module,exports){ +(function (global){ +"use strict"; + +var _input = require("./input"); + +var input = _interopRequireWildcard(_input); + +var _util = require("./util"); + +var util = _interopRequireWildcard(_util); + +var _filter = require("./filter"); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +var $ = global.jQuery; + +input.register({ + className: "crosstalk-input-select", + + factory: function factory(el, data) { + /* + * items: {value: [...], label: [...]} + * map: {"groupA": ["keyA", "keyB", ...], ...} + * group: "ct-groupname" + */ + + var first = [{ value: "", label: "(All)" }]; + var items = util.dataframeToD3(data.items); + var opts = { + options: first.concat(items), + valueField: "value", + labelField: "label", + searchField: "label" + }; + + var select = $(el).find("select")[0]; + + var selectize = $(select).selectize(opts)[0].selectize; + + var ctHandle = new _filter.FilterHandle(data.group); + + var lastKnownKeys = void 0; + selectize.on("change", function () { + if (selectize.items.length === 0) { + lastKnownKeys = null; + ctHandle.clear(); + } else { + var keys = {}; + selectize.items.forEach(function (group) { + data.map[group].forEach(function (key) { + keys[key] = true; + }); + }); + var keyArray = Object.keys(keys); + keyArray.sort(); + lastKnownKeys = keyArray; + ctHandle.set(keyArray); + } + }); + + return { + suspend: function suspend() { + ctHandle.clear(); + }, + resume: function resume() { + if (lastKnownKeys) ctHandle.set(lastKnownKeys); + } + }; + } +}); + +}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) + +},{"./filter":2,"./input":6,"./util":11}],9:[function(require,module,exports){ +(function (global){ +"use strict"; + +var _slicedToArray = function () { function sliceIterator(arr, i) { var _arr = []; var _n = true; var _d = false; var _e = undefined; try { for (var _i = arr[Symbol.iterator](), _s; !(_n = (_s = _i.next()).done); _n = true) { _arr.push(_s.value); if (i && _arr.length === i) break; } } catch (err) { _d = true; _e = err; } finally { try { if (!_n && _i["return"]) _i["return"](); } finally { if (_d) throw _e; } } return _arr; } return function (arr, i) { if (Array.isArray(arr)) { return arr; } else if (Symbol.iterator in Object(arr)) { return sliceIterator(arr, i); } else { throw new TypeError("Invalid attempt to destructure non-iterable instance"); } }; }(); + +var _input = require("./input"); + +var input = _interopRequireWildcard(_input); + +var _filter = require("./filter"); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +var $ = global.jQuery; +var strftime = global.strftime; + +input.register({ + className: "crosstalk-input-slider", + + factory: function factory(el, data) { + /* + * map: {"groupA": ["keyA", "keyB", ...], ...} + * group: "ct-groupname" + */ + var ctHandle = new _filter.FilterHandle(data.group); + + var opts = {}; + var $el = $(el).find("input"); + var dataType = $el.data("data-type"); + var timeFormat = $el.data("time-format"); + var round = $el.data("round"); + var timeFormatter = void 0; + + // Set up formatting functions + if (dataType === "date") { + timeFormatter = strftime.utc(); + opts.prettify = function (num) { + return timeFormatter(timeFormat, new Date(num)); + }; + } else if (dataType === "datetime") { + var timezone = $el.data("timezone"); + if (timezone) timeFormatter = strftime.timezone(timezone);else timeFormatter = strftime; + + opts.prettify = function (num) { + return timeFormatter(timeFormat, new Date(num)); + }; + } else if (dataType === "number") { + if (typeof round !== "undefined") opts.prettify = function (num) { + var factor = Math.pow(10, round); + return Math.round(num * factor) / factor; + }; + } + + $el.ionRangeSlider(opts); + + function getValue() { + var result = $el.data("ionRangeSlider").result; + + // Function for converting numeric value from slider to appropriate type. + var convert = void 0; + var dataType = $el.data("data-type"); + if (dataType === "date") { + convert = function convert(val) { + return formatDateUTC(new Date(+val)); + }; + } else if (dataType === "datetime") { + convert = function convert(val) { + // Convert ms to s + return +val / 1000; + }; + } else { + convert = function convert(val) { + return +val; + }; + } + + if ($el.data("ionRangeSlider").options.type === "double") { + return [convert(result.from), convert(result.to)]; + } else { + return convert(result.from); + } + } + + var lastKnownKeys = null; + + $el.on("change.crosstalkSliderInput", function (event) { + if (!$el.data("updating") && !$el.data("animating")) { + var _getValue = getValue(), + _getValue2 = _slicedToArray(_getValue, 2), + from = _getValue2[0], + to = _getValue2[1]; + + var keys = []; + for (var i = 0; i < data.values.length; i++) { + var val = data.values[i]; + if (val >= from && val <= to) { + keys.push(data.keys[i]); + } + } + keys.sort(); + ctHandle.set(keys); + lastKnownKeys = keys; + } + }); + + // let $el = $(el); + // $el.on("change", "input[type="checkbox"]", function() { + // let checked = $el.find("input[type="checkbox"]:checked"); + // if (checked.length === 0) { + // ctHandle.clear(); + // } else { + // let keys = {}; + // checked.each(function() { + // data.map[this.value].forEach(function(key) { + // keys[key] = true; + // }); + // }); + // let keyArray = Object.keys(keys); + // keyArray.sort(); + // ctHandle.set(keyArray); + // } + // }); + + return { + suspend: function suspend() { + ctHandle.clear(); + }, + resume: function resume() { + if (lastKnownKeys) ctHandle.set(lastKnownKeys); + } + }; + } +}); + +// Convert a number to a string with leading zeros +function padZeros(n, digits) { + var str = n.toString(); + while (str.length < digits) { + str = "0" + str; + }return str; +} + +// Given a Date object, return a string in yyyy-mm-dd format, using the +// UTC date. This may be a day off from the date in the local time zone. +function formatDateUTC(date) { + if (date instanceof Date) { + return date.getUTCFullYear() + "-" + padZeros(date.getUTCMonth() + 1, 2) + "-" + padZeros(date.getUTCDate(), 2); + } else { + return null; + } +} + +}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) + +},{"./filter":2,"./input":6}],10:[function(require,module,exports){ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); +exports.SelectionHandle = undefined; + +var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }(); + +var _events = require("./events"); + +var _events2 = _interopRequireDefault(_events); + +var _group = require("./group"); + +var _group2 = _interopRequireDefault(_group); + +var _util = require("./util"); + +var util = _interopRequireWildcard(_util); + +function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } } + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } + +/** + * Use this class to read and write (and listen for changes to) the selection + * for a Crosstalk group. This is intended to be used for linked brushing. + * + * If two (or more) `SelectionHandle` instances in the same webpage share the + * same group name, they will share the same state. Setting the selection using + * one `SelectionHandle` instance will result in the `value` property instantly + * changing across the others, and `"change"` event listeners on all instances + * (including the one that initiated the sending) will fire. + * + * @param {string} [group] - The name of the Crosstalk group, or if none, + * null or undefined (or any other falsy value). This can be changed later + * via the [SelectionHandle#setGroup](#setGroup) method. + * @param {Object} [extraInfo] - An object whose properties will be copied to + * the event object whenever an event is emitted. + */ +var SelectionHandle = exports.SelectionHandle = function () { + function SelectionHandle() { + var group = arguments.length > 0 && arguments[0] !== undefined ? arguments[0] : null; + var extraInfo = arguments.length > 1 && arguments[1] !== undefined ? arguments[1] : null; + + _classCallCheck(this, SelectionHandle); + + this._eventRelay = new _events2.default(); + this._emitter = new util.SubscriptionTracker(this._eventRelay); + + // Name of the group we're currently tracking, if any. Can change over time. + this._group = null; + // The Var we're currently tracking, if any. Can change over time. + this._var = null; + // The event handler subscription we currently have on var.on("change"). + this._varOnChangeSub = null; + + this._extraInfo = util.extend({ sender: this }, extraInfo); + + this.setGroup(group); + } + + /** + * Changes the Crosstalk group membership of this SelectionHandle. The group + * being switched away from (if any) will not have its selection value + * modified as a result of calling `setGroup`, even if this handle was the + * most recent handle to set the selection of the group. + * + * The group being switched to (if any) will also not have its selection value + * modified as a result of calling `setGroup`. If you want to set the + * selection value of the new group, call `set` explicitly. + * + * @param {string} group - The name of the Crosstalk group, or null (or + * undefined) to clear the group. + */ + + + _createClass(SelectionHandle, [{ + key: "setGroup", + value: function setGroup(group) { + var _this = this; + + // If group is unchanged, do nothing + if (this._group === group) return; + // Treat null, undefined, and other falsy values the same + if (!this._group && !group) return; + + if (this._var) { + this._var.off("change", this._varOnChangeSub); + this._var = null; + this._varOnChangeSub = null; + } + + this._group = group; + + if (group) { + this._var = (0, _group2.default)(group).var("selection"); + var sub = this._var.on("change", function (e) { + _this._eventRelay.trigger("change", e, _this); + }); + this._varOnChangeSub = sub; + } + } + + /** + * Retrieves the current selection for the group represented by this + * `SelectionHandle`. + * + * - If no selection is active, then this value will be falsy. + * - If a selection is active, but no data points are selected, then this + * value will be an empty array. + * - If a selection is active, and data points are selected, then the keys + * of the selected data points will be present in the array. + */ + + }, { + key: "_mergeExtraInfo", + + + /** + * Combines the given `extraInfo` (if any) with the handle's default + * `_extraInfo` (if any). + * @private + */ + value: function _mergeExtraInfo(extraInfo) { + // Important incidental effect: shallow clone is returned + return util.extend({}, this._extraInfo ? this._extraInfo : null, extraInfo ? extraInfo : null); + } + + /** + * Overwrites the current selection for the group, and raises the `"change"` + * event among all of the group's '`SelectionHandle` instances (including + * this one). + * + * @fires SelectionHandle#change + * @param {string[]} selectedKeys - Falsy, empty array, or array of keys (see + * {@link SelectionHandle#value}). + * @param {Object} [extraInfo] - Extra properties to be included on the event + * object that's passed to listeners (in addition to any options that were + * passed into the `SelectionHandle` constructor). + */ + + }, { + key: "set", + value: function set(selectedKeys, extraInfo) { + if (this._var) this._var.set(selectedKeys, this._mergeExtraInfo(extraInfo)); + } + + /** + * Overwrites the current selection for the group, and raises the `"change"` + * event among all of the group's '`SelectionHandle` instances (including + * this one). + * + * @fires SelectionHandle#change + * @param {Object} [extraInfo] - Extra properties to be included on the event + * object that's passed to listeners (in addition to any that were passed + * into the `SelectionHandle` constructor). + */ + + }, { + key: "clear", + value: function clear(extraInfo) { + if (this._var) this.set(void 0, this._mergeExtraInfo(extraInfo)); + } + + /** + * Subscribes to events on this `SelectionHandle`. + * + * @param {string} eventType - Indicates the type of events to listen to. + * Currently, only `"change"` is supported. + * @param {SelectionHandle~listener} listener - The callback function that + * will be invoked when the event occurs. + * @return {string} - A token to pass to {@link SelectionHandle#off} to cancel + * this subscription. + */ + + }, { + key: "on", + value: function on(eventType, listener) { + return this._emitter.on(eventType, listener); + } + + /** + * Cancels event subscriptions created by {@link SelectionHandle#on}. + * + * @param {string} eventType - The type of event to unsubscribe. + * @param {string|SelectionHandle~listener} listener - Either the callback + * function previously passed into {@link SelectionHandle#on}, or the + * string that was returned from {@link SelectionHandle#on}. + */ + + }, { + key: "off", + value: function off(eventType, listener) { + return this._emitter.off(eventType, listener); + } + + /** + * Shuts down the `SelectionHandle` object. + * + * Removes all event listeners that were added through this handle. + */ + + }, { + key: "close", + value: function close() { + this._emitter.removeAllListeners(); + this.setGroup(null); + } + }, { + key: "value", + get: function get() { + return this._var ? this._var.get() : null; + } + }]); + + return SelectionHandle; +}(); + +/** + * @callback SelectionHandle~listener + * @param {Object} event - An object containing details of the event. For + * `"change"` events, this includes the properties `value` (the new + * value of the selection, or `undefined` if no selection is active), + * `oldValue` (the previous value of the selection), and `sender` (the + * `SelectionHandle` instance that made the change). + */ + +/** + * @event SelectionHandle#change + * @type {object} + * @property {object} value - The new value of the selection, or `undefined` + * if no selection is active. + * @property {object} oldValue - The previous value of the selection. + * @property {SelectionHandle} sender - The `SelectionHandle` instance that + * changed the value. + */ + +},{"./events":1,"./group":4,"./util":11}],11:[function(require,module,exports){ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); + +var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }(); + +var _typeof = typeof Symbol === "function" && typeof Symbol.iterator === "symbol" ? function (obj) { return typeof obj; } : function (obj) { return obj && typeof Symbol === "function" && obj.constructor === Symbol && obj !== Symbol.prototype ? "symbol" : typeof obj; }; + +exports.extend = extend; +exports.checkSorted = checkSorted; +exports.diffSortedLists = diffSortedLists; +exports.dataframeToD3 = dataframeToD3; + +function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } + +function extend(target) { + for (var _len = arguments.length, sources = Array(_len > 1 ? _len - 1 : 0), _key = 1; _key < _len; _key++) { + sources[_key - 1] = arguments[_key]; + } + + for (var i = 0; i < sources.length; i++) { + var src = sources[i]; + if (typeof src === "undefined" || src === null) continue; + + for (var key in src) { + if (src.hasOwnProperty(key)) { + target[key] = src[key]; + } + } + } + return target; +} + +function checkSorted(list) { + for (var i = 1; i < list.length; i++) { + if (list[i] <= list[i - 1]) { + throw new Error("List is not sorted or contains duplicate"); + } + } +} + +function diffSortedLists(a, b) { + var i_a = 0; + var i_b = 0; + + if (!a) a = []; + if (!b) b = []; + + var a_only = []; + var b_only = []; + + checkSorted(a); + checkSorted(b); + + while (i_a < a.length && i_b < b.length) { + if (a[i_a] === b[i_b]) { + i_a++; + i_b++; + } else if (a[i_a] < b[i_b]) { + a_only.push(a[i_a++]); + } else { + b_only.push(b[i_b++]); + } + } + + if (i_a < a.length) a_only = a_only.concat(a.slice(i_a)); + if (i_b < b.length) b_only = b_only.concat(b.slice(i_b)); + return { + removed: a_only, + added: b_only + }; +} + +// Convert from wide: { colA: [1,2,3], colB: [4,5,6], ... } +// to long: [ {colA: 1, colB: 4}, {colA: 2, colB: 5}, ... ] +function dataframeToD3(df) { + var names = []; + var length = void 0; + for (var name in df) { + if (df.hasOwnProperty(name)) names.push(name); + if (_typeof(df[name]) !== "object" || typeof df[name].length === "undefined") { + throw new Error("All fields must be arrays"); + } else if (typeof length !== "undefined" && length !== df[name].length) { + throw new Error("All fields must be arrays of the same length"); + } + length = df[name].length; + } + var results = []; + var item = void 0; + for (var row = 0; row < length; row++) { + item = {}; + for (var col = 0; col < names.length; col++) { + item[names[col]] = df[names[col]][row]; + } + results.push(item); + } + return results; +} + +/** + * Keeps track of all event listener additions/removals and lets all active + * listeners be removed with a single operation. + * + * @private + */ + +var SubscriptionTracker = exports.SubscriptionTracker = function () { + function SubscriptionTracker(emitter) { + _classCallCheck(this, SubscriptionTracker); + + this._emitter = emitter; + this._subs = {}; + } + + _createClass(SubscriptionTracker, [{ + key: "on", + value: function on(eventType, listener) { + var sub = this._emitter.on(eventType, listener); + this._subs[sub] = eventType; + return sub; + } + }, { + key: "off", + value: function off(eventType, listener) { + var sub = this._emitter.off(eventType, listener); + if (sub) { + delete this._subs[sub]; + } + return sub; + } + }, { + key: "removeAllListeners", + value: function removeAllListeners() { + var _this = this; + + var current_subs = this._subs; + this._subs = {}; + Object.keys(current_subs).forEach(function (sub) { + _this._emitter.off(current_subs[sub], sub); + }); + } + }]); + + return SubscriptionTracker; +}(); + +},{}],12:[function(require,module,exports){ +(function (global){ +"use strict"; + +Object.defineProperty(exports, "__esModule", { + value: true +}); + +var _typeof = typeof Symbol === "function" && typeof Symbol.iterator === "symbol" ? function (obj) { return typeof obj; } : function (obj) { return obj && typeof Symbol === "function" && obj.constructor === Symbol && obj !== Symbol.prototype ? "symbol" : typeof obj; }; + +var _createClass = function () { function defineProperties(target, props) { for (var i = 0; i < props.length; i++) { var descriptor = props[i]; descriptor.enumerable = descriptor.enumerable || false; descriptor.configurable = true; if ("value" in descriptor) descriptor.writable = true; Object.defineProperty(target, descriptor.key, descriptor); } } return function (Constructor, protoProps, staticProps) { if (protoProps) defineProperties(Constructor.prototype, protoProps); if (staticProps) defineProperties(Constructor, staticProps); return Constructor; }; }(); + +var _events = require("./events"); + +var _events2 = _interopRequireDefault(_events); + +function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; } + +function _classCallCheck(instance, Constructor) { if (!(instance instanceof Constructor)) { throw new TypeError("Cannot call a class as a function"); } } + +var Var = function () { + function Var(group, name, /*optional*/value) { + _classCallCheck(this, Var); + + this._group = group; + this._name = name; + this._value = value; + this._events = new _events2.default(); + } + + _createClass(Var, [{ + key: "get", + value: function get() { + return this._value; + } + }, { + key: "set", + value: function set(value, /*optional*/event) { + if (this._value === value) { + // Do nothing; the value hasn't changed + return; + } + var oldValue = this._value; + this._value = value; + // Alert JavaScript listeners that the value has changed + var evt = {}; + if (event && (typeof event === "undefined" ? "undefined" : _typeof(event)) === "object") { + for (var k in event) { + if (event.hasOwnProperty(k)) evt[k] = event[k]; + } + } + evt.oldValue = oldValue; + evt.value = value; + this._events.trigger("change", evt, this); + + // TODO: Make this extensible, to let arbitrary back-ends know that + // something has changed + if (global.Shiny && global.Shiny.onInputChange) { + global.Shiny.onInputChange(".clientValue-" + (this._group.name !== null ? this._group.name + "-" : "") + this._name, typeof value === "undefined" ? null : value); + } + } + }, { + key: "on", + value: function on(eventType, listener) { + return this._events.on(eventType, listener); + } + }, { + key: "off", + value: function off(eventType, listener) { + return this._events.off(eventType, listener); + } + }]); + + return Var; +}(); + +exports.default = Var; + +}).call(this,typeof global !== "undefined" ? global : typeof self !== "undefined" ? self : typeof window !== "undefined" ? window : {}) + +},{"./events":1}]},{},[5]) +//# sourceMappingURL=crosstalk.js.map diff --git a/public/2024/08/tdlm-data-dictionary/index_files/crosstalk/js/crosstalk.js.map b/public/2024/08/tdlm-data-dictionary/index_files/crosstalk/js/crosstalk.js.map new file mode 100644 index 0000000..cff94f0 --- /dev/null +++ b/public/2024/08/tdlm-data-dictionary/index_files/crosstalk/js/crosstalk.js.map @@ -0,0 +1,37 @@ +{ + "version": 3, + "sources": [ + "node_modules/browser-pack/_prelude.js", + "javascript/src/events.js", + "javascript/src/filter.js", + "javascript/src/filterset.js", + "javascript/src/group.js", + "javascript/src/index.js", + "javascript/src/input.js", + "javascript/src/input_checkboxgroup.js", + "javascript/src/input_selectize.js", + "javascript/src/input_slider.js", + "javascript/src/selection.js", + "javascript/src/util.js", + "javascript/src/var.js" + ], + "names": [], + "mappings": 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+ "file": "generated.js", + "sourceRoot": "", + "sourcesContent": [ + "(function(){function e(t,n,r){function s(o,u){if(!n[o]){if(!t[o]){var a=typeof require==\"function\"&&require;if(!u&&a)return a(o,!0);if(i)return i(o,!0);var f=new Error(\"Cannot find module '\"+o+\"'\");throw f.code=\"MODULE_NOT_FOUND\",f}var l=n[o]={exports:{}};t[o][0].call(l.exports,function(e){var n=t[o][1][e];return s(n?n:e)},l,l.exports,e,t,n,r)}return n[o].exports}var i=typeof require==\"function\"&&require;for(var o=0;o {\n this._eventRelay.trigger(\"change\", e, this);\n });\n this._varOnChangeSub = sub;\n }\n }\n\n /**\n * Combine the given `extraInfo` (if any) with the handle's default\n * `_extraInfo` (if any).\n * @private\n */\n _mergeExtraInfo(extraInfo) {\n return util.extend({},\n this._extraInfo ? this._extraInfo : null,\n extraInfo ? extraInfo : null);\n }\n\n /**\n * Close the handle. This clears this handle's contribution to the filter set,\n * and unsubscribes all event listeners.\n */\n close() {\n this._emitter.removeAllListeners();\n this.clear();\n this.setGroup(null);\n }\n\n /**\n * Clear this handle's contribution to the filter set.\n *\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any options that were\n * passed into the `FilterHandle` constructor).\n * \n * @fires FilterHandle#change\n */\n clear(extraInfo) {\n if (!this._filterSet)\n return;\n this._filterSet.clear(this._id);\n this._onChange(extraInfo);\n }\n\n /**\n * Set this handle's contribution to the filter set. This array should consist\n * of the keys of the rows that _should_ be displayed; any keys that are not\n * present in the array will be considered _filtered out_. Note that multiple\n * `FilterHandle` instances in the group may each contribute an array of keys,\n * and only those keys that appear in _all_ of the arrays make it through the\n * filter.\n *\n * @param {string[]} keys - Empty array, or array of keys. To clear the\n * filter, don't pass an empty array; instead, use the\n * {@link FilterHandle#clear} method.\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any options that were\n * passed into the `FilterHandle` constructor).\n * \n * @fires FilterHandle#change\n */\n set(keys, extraInfo) {\n if (!this._filterSet)\n return;\n this._filterSet.update(this._id, keys);\n this._onChange(extraInfo);\n }\n\n /**\n * @return {string[]|null} - Either: 1) an array of keys that made it through\n * all of the `FilterHandle` instances, or, 2) `null`, which means no filter\n * is being applied (all data should be displayed).\n */\n get filteredKeys() {\n return this._filterSet ? this._filterSet.value : null;\n }\n\n /**\n * Subscribe to events on this `FilterHandle`.\n *\n * @param {string} eventType - Indicates the type of events to listen to.\n * Currently, only `\"change\"` is supported.\n * @param {FilterHandle~listener} listener - The callback function that\n * will be invoked when the event occurs.\n * @return {string} - A token to pass to {@link FilterHandle#off} to cancel\n * this subscription.\n */\n on(eventType, listener) {\n return this._emitter.on(eventType, listener);\n }\n\n /**\n * Cancel event subscriptions created by {@link FilterHandle#on}.\n *\n * @param {string} eventType - The type of event to unsubscribe.\n * @param {string|FilterHandle~listener} listener - Either the callback\n * function previously passed into {@link FilterHandle#on}, or the\n * string that was returned from {@link FilterHandle#on}.\n */\n off(eventType, listener) {\n return this._emitter.off(eventType, listener);\n }\n\n _onChange(extraInfo) {\n if (!this._filterSet)\n return;\n this._filterVar.set(this._filterSet.value, this._mergeExtraInfo(extraInfo));\n }\n\n /**\n * @callback FilterHandle~listener\n * @param {Object} event - An object containing details of the event. For\n * `\"change\"` events, this includes the properties `value` (the new\n * value of the filter set, or `null` if no filter set is active),\n * `oldValue` (the previous value of the filter set), and `sender` (the\n * `FilterHandle` instance that made the change).\n */\n\n}\n\n/**\n * @event FilterHandle#change\n * @type {object}\n * @property {object} value - The new value of the filter set, or `null`\n * if no filter set is active.\n * @property {object} oldValue - The previous value of the filter set.\n * @property {FilterHandle} sender - The `FilterHandle` instance that\n * changed the value.\n */\n", + "import { diffSortedLists } from \"./util\";\n\nfunction naturalComparator(a, b) {\n if (a === b) {\n return 0;\n } else if (a < b) {\n return -1;\n } else if (a > b) {\n return 1;\n }\n}\n\n/**\n * @private\n */\nexport default class FilterSet {\n constructor() {\n this.reset();\n }\n\n reset() {\n // Key: handle ID, Value: array of selected keys, or null\n this._handles = {};\n // Key: key string, Value: count of handles that include it\n this._keys = {};\n this._value = null;\n this._activeHandles = 0;\n }\n\n get value() {\n return this._value;\n }\n\n update(handleId, keys) {\n if (keys !== null) {\n keys = keys.slice(0); // clone before sorting\n keys.sort(naturalComparator);\n }\n\n let {added, removed} = diffSortedLists(this._handles[handleId], keys);\n this._handles[handleId] = keys;\n\n for (let i = 0; i < added.length; i++) {\n this._keys[added[i]] = (this._keys[added[i]] || 0) + 1;\n }\n for (let i = 0; i < removed.length; i++) {\n this._keys[removed[i]]--;\n }\n\n this._updateValue(keys);\n }\n\n /**\n * @param {string[]} keys Sorted array of strings that indicate\n * a superset of possible keys.\n * @private\n */\n _updateValue(keys = this._allKeys) {\n let handleCount = Object.keys(this._handles).length;\n if (handleCount === 0) {\n this._value = null;\n } else {\n this._value = [];\n for (let i = 0; i < keys.length; i++) {\n let count = this._keys[keys[i]];\n if (count === handleCount) {\n this._value.push(keys[i]);\n }\n }\n }\n }\n\n clear(handleId) {\n if (typeof(this._handles[handleId]) === \"undefined\") {\n return;\n }\n\n let keys = this._handles[handleId];\n if (!keys) {\n keys = [];\n }\n\n for (let i = 0; i < keys.length; i++) {\n this._keys[keys[i]]--;\n }\n delete this._handles[handleId];\n\n this._updateValue();\n }\n\n get _allKeys() {\n let allKeys = Object.keys(this._keys);\n allKeys.sort(naturalComparator);\n return allKeys;\n }\n}\n", + "import Var from \"./var\";\n\n// Use a global so that multiple copies of crosstalk.js can be loaded and still\n// have groups behave as singletons across all copies.\nglobal.__crosstalk_groups = global.__crosstalk_groups || {};\nlet groups = global.__crosstalk_groups;\n\nexport default function group(groupName) {\n if (groupName && typeof(groupName) === \"string\") {\n if (!groups.hasOwnProperty(groupName)) {\n groups[groupName] = new Group(groupName);\n }\n return groups[groupName];\n } else if (typeof(groupName) === \"object\" && groupName._vars && groupName.var) {\n // Appears to already be a group object\n return groupName;\n } else if (Array.isArray(groupName) &&\n groupName.length == 1 &&\n typeof(groupName[0]) === \"string\") {\n return group(groupName[0]);\n } else {\n throw new Error(\"Invalid groupName argument\");\n }\n}\n\nclass Group {\n constructor(name) {\n this.name = name;\n this._vars = {};\n }\n\n var(name) {\n if (!name || typeof(name) !== \"string\") {\n throw new Error(\"Invalid var name\");\n }\n\n if (!this._vars.hasOwnProperty(name))\n this._vars[name] = new Var(this, name);\n return this._vars[name];\n }\n\n has(name) {\n if (!name || typeof(name) !== \"string\") {\n throw new Error(\"Invalid var name\");\n }\n\n return this._vars.hasOwnProperty(name);\n }\n}\n", + "import group from \"./group\";\nimport { SelectionHandle } from \"./selection\";\nimport { FilterHandle } from \"./filter\";\nimport { bind } from \"./input\";\nimport \"./input_selectize\";\nimport \"./input_checkboxgroup\";\nimport \"./input_slider\";\n\nconst defaultGroup = group(\"default\");\n\nfunction var_(name) {\n return defaultGroup.var(name);\n}\n\nfunction has(name) {\n return defaultGroup.has(name);\n}\n\nif (global.Shiny) {\n global.Shiny.addCustomMessageHandler(\"update-client-value\", function(message) {\n if (typeof(message.group) === \"string\") {\n group(message.group).var(message.name).set(message.value);\n } else {\n var_(message.name).set(message.value);\n }\n });\n}\n\nconst crosstalk = {\n group: group,\n var: var_,\n has: has,\n SelectionHandle: SelectionHandle,\n FilterHandle: FilterHandle,\n bind: bind\n};\n\n/**\n * @namespace crosstalk\n */\nexport default crosstalk;\nglobal.crosstalk = crosstalk;\n", + "let $ = global.jQuery;\n\nlet bindings = {};\n\nexport function register(reg) {\n bindings[reg.className] = reg;\n if (global.document && global.document.readyState !== \"complete\") {\n $(() => {\n bind();\n });\n } else if (global.document) {\n setTimeout(bind, 100);\n }\n}\n\nexport function bind() {\n Object.keys(bindings).forEach(function(className) {\n let binding = bindings[className];\n $(\".\" + binding.className).not(\".crosstalk-input-bound\").each(function(i, el) {\n bindInstance(binding, el);\n });\n });\n}\n\n// Escape jQuery identifier\nfunction $escape(val) {\n return val.replace(/([!\"#$%&'()*+,./:;<=>?@[\\\\\\]^`{|}~])/g, \"\\\\$1\");\n}\n\nfunction bindEl(el) {\n let $el = $(el);\n Object.keys(bindings).forEach(function(className) {\n if ($el.hasClass(className) && !$el.hasClass(\"crosstalk-input-bound\")) {\n let binding = bindings[className];\n bindInstance(binding, el);\n }\n });\n}\n\nfunction bindInstance(binding, el) {\n let jsonEl = $(el).find(\"script[type='application/json'][data-for='\" + $escape(el.id) + \"']\");\n let data = JSON.parse(jsonEl[0].innerText);\n\n let instance = binding.factory(el, data);\n $(el).data(\"crosstalk-instance\", instance);\n $(el).addClass(\"crosstalk-input-bound\");\n}\n\nif (global.Shiny) {\n let inputBinding = new global.Shiny.InputBinding();\n let $ = global.jQuery;\n $.extend(inputBinding, {\n find: function(scope) {\n return $(scope).find(\".crosstalk-input\");\n },\n initialize: function(el) {\n if (!$(el).hasClass(\"crosstalk-input-bound\")) {\n bindEl(el);\n }\n },\n getId: function(el) {\n return el.id;\n },\n getValue: function(el) {\n\n },\n setValue: function(el, value) {\n\n },\n receiveMessage: function(el, data) {\n\n },\n subscribe: function(el, callback) {\n $(el).data(\"crosstalk-instance\").resume();\n },\n unsubscribe: function(el) {\n $(el).data(\"crosstalk-instance\").suspend();\n }\n });\n global.Shiny.inputBindings.register(inputBinding, \"crosstalk.inputBinding\");\n}\n", + "import * as input from \"./input\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\n\ninput.register({\n className: \"crosstalk-input-checkboxgroup\",\n\n factory: function(el, data) {\n /*\n * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n * group: \"ct-groupname\"\n */\n let ctHandle = new FilterHandle(data.group);\n\n let lastKnownKeys;\n let $el = $(el);\n $el.on(\"change\", \"input[type='checkbox']\", function() {\n let checked = $el.find(\"input[type='checkbox']:checked\");\n if (checked.length === 0) {\n lastKnownKeys = null;\n ctHandle.clear();\n } else {\n let keys = {};\n checked.each(function() {\n data.map[this.value].forEach(function(key) {\n keys[key] = true;\n });\n });\n let keyArray = Object.keys(keys);\n keyArray.sort();\n lastKnownKeys = keyArray;\n ctHandle.set(keyArray);\n }\n });\n\n return {\n suspend: function() {\n ctHandle.clear();\n },\n resume: function() {\n if (lastKnownKeys)\n ctHandle.set(lastKnownKeys);\n }\n };\n }\n});\n", + "import * as input from \"./input\";\nimport * as util from \"./util\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\n\ninput.register({\n className: \"crosstalk-input-select\",\n\n factory: function(el, data) {\n /*\n * items: {value: [...], label: [...]}\n * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n * group: \"ct-groupname\"\n */\n\n let first = [{value: \"\", label: \"(All)\"}];\n let items = util.dataframeToD3(data.items);\n let opts = {\n options: first.concat(items),\n valueField: \"value\",\n labelField: \"label\",\n searchField: \"label\"\n };\n\n let select = $(el).find(\"select\")[0];\n\n let selectize = $(select).selectize(opts)[0].selectize;\n\n let ctHandle = new FilterHandle(data.group);\n\n let lastKnownKeys;\n selectize.on(\"change\", function() {\n if (selectize.items.length === 0) {\n lastKnownKeys = null;\n ctHandle.clear();\n } else {\n let keys = {};\n selectize.items.forEach(function(group) {\n data.map[group].forEach(function(key) {\n keys[key] = true;\n });\n });\n let keyArray = Object.keys(keys);\n keyArray.sort();\n lastKnownKeys = keyArray;\n ctHandle.set(keyArray);\n }\n });\n\n return {\n suspend: function() {\n ctHandle.clear();\n },\n resume: function() {\n if (lastKnownKeys)\n ctHandle.set(lastKnownKeys);\n }\n };\n }\n});\n", + "import * as input from \"./input\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\nlet strftime = global.strftime;\n\ninput.register({\n className: \"crosstalk-input-slider\",\n\n factory: function(el, data) {\n /*\n * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n * group: \"ct-groupname\"\n */\n let ctHandle = new FilterHandle(data.group);\n\n let opts = {};\n let $el = $(el).find(\"input\");\n let dataType = $el.data(\"data-type\");\n let timeFormat = $el.data(\"time-format\");\n let round = $el.data(\"round\");\n let timeFormatter;\n\n // Set up formatting functions\n if (dataType === \"date\") {\n timeFormatter = strftime.utc();\n opts.prettify = function(num) {\n return timeFormatter(timeFormat, new Date(num));\n };\n\n } else if (dataType === \"datetime\") {\n let timezone = $el.data(\"timezone\");\n if (timezone)\n timeFormatter = strftime.timezone(timezone);\n else\n timeFormatter = strftime;\n\n opts.prettify = function(num) {\n return timeFormatter(timeFormat, new Date(num));\n };\n } else if (dataType === \"number\") {\n if (typeof round !== \"undefined\")\n opts.prettify = function(num) {\n let factor = Math.pow(10, round);\n return Math.round(num * factor) / factor;\n };\n }\n\n $el.ionRangeSlider(opts);\n\n function getValue() {\n let result = $el.data(\"ionRangeSlider\").result;\n\n // Function for converting numeric value from slider to appropriate type.\n let convert;\n let dataType = $el.data(\"data-type\");\n if (dataType === \"date\") {\n convert = function(val) {\n return formatDateUTC(new Date(+val));\n };\n } else if (dataType === \"datetime\") {\n convert = function(val) {\n // Convert ms to s\n return +val / 1000;\n };\n } else {\n convert = function(val) { return +val; };\n }\n\n if ($el.data(\"ionRangeSlider\").options.type === \"double\") {\n return [convert(result.from), convert(result.to)];\n } else {\n return convert(result.from);\n }\n }\n\n let lastKnownKeys = null;\n\n $el.on(\"change.crosstalkSliderInput\", function(event) {\n if (!$el.data(\"updating\") && !$el.data(\"animating\")) {\n let [from, to] = getValue();\n let keys = [];\n for (let i = 0; i < data.values.length; i++) {\n let val = data.values[i];\n if (val >= from && val <= to) {\n keys.push(data.keys[i]);\n }\n }\n keys.sort();\n ctHandle.set(keys);\n lastKnownKeys = keys;\n }\n });\n\n\n // let $el = $(el);\n // $el.on(\"change\", \"input[type=\"checkbox\"]\", function() {\n // let checked = $el.find(\"input[type=\"checkbox\"]:checked\");\n // if (checked.length === 0) {\n // ctHandle.clear();\n // } else {\n // let keys = {};\n // checked.each(function() {\n // data.map[this.value].forEach(function(key) {\n // keys[key] = true;\n // });\n // });\n // let keyArray = Object.keys(keys);\n // keyArray.sort();\n // ctHandle.set(keyArray);\n // }\n // });\n\n return {\n suspend: function() {\n ctHandle.clear();\n },\n resume: function() {\n if (lastKnownKeys)\n ctHandle.set(lastKnownKeys);\n }\n };\n }\n});\n\n\n// Convert a number to a string with leading zeros\nfunction padZeros(n, digits) {\n let str = n.toString();\n while (str.length < digits)\n str = \"0\" + str;\n return str;\n}\n\n// Given a Date object, return a string in yyyy-mm-dd format, using the\n// UTC date. This may be a day off from the date in the local time zone.\nfunction formatDateUTC(date) {\n if (date instanceof Date) {\n return date.getUTCFullYear() + \"-\" +\n padZeros(date.getUTCMonth()+1, 2) + \"-\" +\n padZeros(date.getUTCDate(), 2);\n\n } else {\n return null;\n }\n}\n", + "import Events from \"./events\";\nimport grp from \"./group\";\nimport * as util from \"./util\";\n\n/**\n * Use this class to read and write (and listen for changes to) the selection\n * for a Crosstalk group. This is intended to be used for linked brushing.\n *\n * If two (or more) `SelectionHandle` instances in the same webpage share the\n * same group name, they will share the same state. Setting the selection using\n * one `SelectionHandle` instance will result in the `value` property instantly\n * changing across the others, and `\"change\"` event listeners on all instances\n * (including the one that initiated the sending) will fire.\n *\n * @param {string} [group] - The name of the Crosstalk group, or if none,\n * null or undefined (or any other falsy value). This can be changed later\n * via the [SelectionHandle#setGroup](#setGroup) method.\n * @param {Object} [extraInfo] - An object whose properties will be copied to\n * the event object whenever an event is emitted.\n */\nexport class SelectionHandle {\n\n constructor(group = null, extraInfo = null) {\n this._eventRelay = new Events();\n this._emitter = new util.SubscriptionTracker(this._eventRelay);\n\n // Name of the group we're currently tracking, if any. Can change over time.\n this._group = null;\n // The Var we're currently tracking, if any. Can change over time.\n this._var = null;\n // The event handler subscription we currently have on var.on(\"change\").\n this._varOnChangeSub = null;\n\n this._extraInfo = util.extend({ sender: this }, extraInfo);\n\n this.setGroup(group);\n }\n\n /**\n * Changes the Crosstalk group membership of this SelectionHandle. The group\n * being switched away from (if any) will not have its selection value\n * modified as a result of calling `setGroup`, even if this handle was the\n * most recent handle to set the selection of the group.\n *\n * The group being switched to (if any) will also not have its selection value\n * modified as a result of calling `setGroup`. If you want to set the\n * selection value of the new group, call `set` explicitly.\n *\n * @param {string} group - The name of the Crosstalk group, or null (or\n * undefined) to clear the group.\n */\n setGroup(group) {\n // If group is unchanged, do nothing\n if (this._group === group)\n return;\n // Treat null, undefined, and other falsy values the same\n if (!this._group && !group)\n return;\n\n if (this._var) {\n this._var.off(\"change\", this._varOnChangeSub);\n this._var = null;\n this._varOnChangeSub = null;\n }\n\n this._group = group;\n\n if (group) {\n this._var = grp(group).var(\"selection\");\n let sub = this._var.on(\"change\", (e) => {\n this._eventRelay.trigger(\"change\", e, this);\n });\n this._varOnChangeSub = sub;\n }\n }\n\n /**\n * Retrieves the current selection for the group represented by this\n * `SelectionHandle`.\n *\n * - If no selection is active, then this value will be falsy.\n * - If a selection is active, but no data points are selected, then this\n * value will be an empty array.\n * - If a selection is active, and data points are selected, then the keys\n * of the selected data points will be present in the array.\n */\n get value() {\n return this._var ? this._var.get() : null;\n }\n\n /**\n * Combines the given `extraInfo` (if any) with the handle's default\n * `_extraInfo` (if any).\n * @private\n */\n _mergeExtraInfo(extraInfo) {\n // Important incidental effect: shallow clone is returned\n return util.extend({},\n this._extraInfo ? this._extraInfo : null,\n extraInfo ? extraInfo : null);\n }\n\n /**\n * Overwrites the current selection for the group, and raises the `\"change\"`\n * event among all of the group's '`SelectionHandle` instances (including\n * this one).\n *\n * @fires SelectionHandle#change\n * @param {string[]} selectedKeys - Falsy, empty array, or array of keys (see\n * {@link SelectionHandle#value}).\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any options that were\n * passed into the `SelectionHandle` constructor).\n */\n set(selectedKeys, extraInfo) {\n if (this._var)\n this._var.set(selectedKeys, this._mergeExtraInfo(extraInfo));\n }\n\n /**\n * Overwrites the current selection for the group, and raises the `\"change\"`\n * event among all of the group's '`SelectionHandle` instances (including\n * this one).\n *\n * @fires SelectionHandle#change\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any that were passed\n * into the `SelectionHandle` constructor).\n */\n clear(extraInfo) {\n if (this._var)\n this.set(void 0, this._mergeExtraInfo(extraInfo));\n }\n\n /**\n * Subscribes to events on this `SelectionHandle`.\n *\n * @param {string} eventType - Indicates the type of events to listen to.\n * Currently, only `\"change\"` is supported.\n * @param {SelectionHandle~listener} listener - The callback function that\n * will be invoked when the event occurs.\n * @return {string} - A token to pass to {@link SelectionHandle#off} to cancel\n * this subscription.\n */\n on(eventType, listener) {\n return this._emitter.on(eventType, listener);\n }\n\n /**\n * Cancels event subscriptions created by {@link SelectionHandle#on}.\n *\n * @param {string} eventType - The type of event to unsubscribe.\n * @param {string|SelectionHandle~listener} listener - Either the callback\n * function previously passed into {@link SelectionHandle#on}, or the\n * string that was returned from {@link SelectionHandle#on}.\n */\n off(eventType, listener) {\n return this._emitter.off(eventType, listener);\n }\n\n /**\n * Shuts down the `SelectionHandle` object.\n *\n * Removes all event listeners that were added through this handle.\n */\n close() {\n this._emitter.removeAllListeners();\n this.setGroup(null);\n }\n}\n\n/**\n * @callback SelectionHandle~listener\n * @param {Object} event - An object containing details of the event. For\n * `\"change\"` events, this includes the properties `value` (the new\n * value of the selection, or `undefined` if no selection is active),\n * `oldValue` (the previous value of the selection), and `sender` (the\n * `SelectionHandle` instance that made the change).\n */\n\n/**\n * @event SelectionHandle#change\n * @type {object}\n * @property {object} value - The new value of the selection, or `undefined`\n * if no selection is active.\n * @property {object} oldValue - The previous value of the selection.\n * @property {SelectionHandle} sender - The `SelectionHandle` instance that\n * changed the value.\n */\n", + "export function extend(target, ...sources) {\n for (let i = 0; i < sources.length; i++) {\n let src = sources[i];\n if (typeof(src) === \"undefined\" || src === null)\n continue;\n\n for (let key in src) {\n if (src.hasOwnProperty(key)) {\n target[key] = src[key];\n }\n }\n }\n return target;\n}\n\nexport function checkSorted(list) {\n for (let i = 1; i < list.length; i++) {\n if (list[i] <= list[i-1]) {\n throw new Error(\"List is not sorted or contains duplicate\");\n }\n }\n}\n\nexport function diffSortedLists(a, b) {\n let i_a = 0;\n let i_b = 0;\n\n if (!a) a = [];\n if (!b) b = [];\n\n let a_only = [];\n let b_only = [];\n\n checkSorted(a);\n checkSorted(b);\n\n while (i_a < a.length && i_b < b.length) {\n if (a[i_a] === b[i_b]) {\n i_a++;\n i_b++;\n } else if (a[i_a] < b[i_b]) {\n a_only.push(a[i_a++]);\n } else {\n b_only.push(b[i_b++]);\n }\n }\n\n if (i_a < a.length)\n a_only = a_only.concat(a.slice(i_a));\n if (i_b < b.length)\n b_only = b_only.concat(b.slice(i_b));\n return {\n removed: a_only,\n added: b_only\n };\n}\n\n// Convert from wide: { colA: [1,2,3], colB: [4,5,6], ... }\n// to long: [ {colA: 1, colB: 4}, {colA: 2, colB: 5}, ... ]\nexport function dataframeToD3(df) {\n let names = [];\n let length;\n for (let name in df) {\n if (df.hasOwnProperty(name))\n names.push(name);\n if (typeof(df[name]) !== \"object\" || typeof(df[name].length) === \"undefined\") {\n throw new Error(\"All fields must be arrays\");\n } else if (typeof(length) !== \"undefined\" && length !== df[name].length) {\n throw new Error(\"All fields must be arrays of the same length\");\n }\n length = df[name].length;\n }\n let results = [];\n let item;\n for (let row = 0; row < length; row++) {\n item = {};\n for (let col = 0; col < names.length; col++) {\n item[names[col]] = df[names[col]][row];\n }\n results.push(item);\n }\n return results;\n}\n\n/**\n * Keeps track of all event listener additions/removals and lets all active\n * listeners be removed with a single operation.\n *\n * @private\n */\nexport class SubscriptionTracker {\n constructor(emitter) {\n this._emitter = emitter;\n this._subs = {};\n }\n\n on(eventType, listener) {\n let sub = this._emitter.on(eventType, listener);\n this._subs[sub] = eventType;\n return sub;\n }\n\n off(eventType, listener) {\n let sub = this._emitter.off(eventType, listener);\n if (sub) {\n delete this._subs[sub];\n }\n return sub;\n }\n\n removeAllListeners() {\n let current_subs = this._subs;\n this._subs = {};\n Object.keys(current_subs).forEach((sub) => {\n this._emitter.off(current_subs[sub], sub);\n });\n }\n}\n", + "import Events from \"./events\";\n\nexport default class Var {\n constructor(group, name, /*optional*/ value) {\n this._group = group;\n this._name = name;\n this._value = value;\n this._events = new Events();\n }\n\n get() {\n return this._value;\n }\n\n set(value, /*optional*/ event) {\n if (this._value === value) {\n // Do nothing; the value hasn't changed\n return;\n }\n let oldValue = this._value;\n this._value = value;\n // Alert JavaScript listeners that the value has changed\n let evt = {};\n if (event && typeof(event) === \"object\") {\n for (let k in event) {\n if (event.hasOwnProperty(k))\n evt[k] = event[k];\n }\n }\n evt.oldValue = oldValue;\n evt.value = value;\n this._events.trigger(\"change\", evt, this);\n\n // TODO: Make this extensible, to let arbitrary back-ends know that\n // something has changed\n if (global.Shiny && global.Shiny.onInputChange) {\n global.Shiny.onInputChange(\n \".clientValue-\" +\n (this._group.name !== null ? this._group.name + \"-\" : \"\") +\n this._name,\n typeof(value) === \"undefined\" ? null : value\n );\n }\n }\n\n on(eventType, listener) {\n return this._events.on(eventType, listener);\n }\n\n off(eventType, listener) {\n return this._events.off(eventType, listener);\n }\n}\n" + ] +} \ No newline at end of file diff --git a/public/2024/08/tdlm-data-dictionary/index_files/crosstalk/js/crosstalk.min.js b/public/2024/08/tdlm-data-dictionary/index_files/crosstalk/js/crosstalk.min.js new file mode 100644 index 0000000..b7ec0ac --- /dev/null +++ b/public/2024/08/tdlm-data-dictionary/index_files/crosstalk/js/crosstalk.min.js @@ -0,0 +1,2 @@ +!function o(u,a,l){function s(n,e){if(!a[n]){if(!u[n]){var t="function"==typeof require&&require;if(!e&&t)return t(n,!0);if(f)return f(n,!0);var r=new Error("Cannot find module '"+n+"'");throw r.code="MODULE_NOT_FOUND",r}var i=a[n]={exports:{}};u[n][0].call(i.exports,function(e){var t=u[n][1][e];return s(t||e)},i,i.exports,o,u,a,l)}return a[n].exports}for(var f="function"==typeof require&&require,e=0;e?@[\\\]^`{|}~])/g,"\\$1")+"']"),r=JSON.parse(n[0].innerText),i=e.factory(t,r);o(t).data("crosstalk-instance",i),o(t).addClass("crosstalk-input-bound")}if(t.Shiny){var e=new t.Shiny.InputBinding,u=t.jQuery;u.extend(e,{find:function(e){return u(e).find(".crosstalk-input")},initialize:function(e){var t,n;u(e).hasClass("crosstalk-input-bound")||(n=o(t=e),Object.keys(r).forEach(function(e){n.hasClass(e)&&!n.hasClass("crosstalk-input-bound")&&i(r[e],t)}))},getId:function(e){return e.id},getValue:function(e){},setValue:function(e,t){},receiveMessage:function(e,t){},subscribe:function(e,t){u(e).data("crosstalk-instance").resume()},unsubscribe:function(e){u(e).data("crosstalk-instance").suspend()}}),t.Shiny.inputBindings.register(e,"crosstalk.inputBinding")}}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{}],7:[function(r,e,t){(function(e){"use strict";var t=function(e){{if(e&&e.__esModule)return e;var t={};if(null!=e)for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n]);return t.default=e,t}}(r("./input")),n=r("./filter");var a=e.jQuery;t.register({className:"crosstalk-input-checkboxgroup",factory:function(e,r){var i=new n.FilterHandle(r.group),o=void 0,u=a(e);return u.on("change","input[type='checkbox']",function(){var e=u.find("input[type='checkbox']:checked");if(0===e.length)o=null,i.clear();else{var t={};e.each(function(){r.map[this.value].forEach(function(e){t[e]=!0})});var n=Object.keys(t);n.sort(),o=n,i.set(n)}}),{suspend:function(){i.clear()},resume:function(){o&&i.set(o)}}}})}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"./filter":2,"./input":6}],8:[function(r,e,t){(function(e){"use strict";var t=n(r("./input")),l=n(r("./util")),s=r("./filter");function n(e){if(e&&e.__esModule)return e;var t={};if(null!=e)for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n]);return t.default=e,t}var f=e.jQuery;t.register({className:"crosstalk-input-select",factory:function(e,n){var t=l.dataframeToD3(n.items),r={options:[{value:"",label:"(All)"}].concat(t),valueField:"value",labelField:"label",searchField:"label"},i=f(e).find("select")[0],o=f(i).selectize(r)[0].selectize,u=new s.FilterHandle(n.group),a=void 0;return o.on("change",function(){if(0===o.items.length)a=null,u.clear();else{var t={};o.items.forEach(function(e){n.map[e].forEach(function(e){t[e]=!0})});var e=Object.keys(t);e.sort(),a=e,u.set(e)}}),{suspend:function(){u.clear()},resume:function(){a&&u.set(a)}}}})}).call(this,"undefined"!=typeof global?global:"undefined"!=typeof self?self:"undefined"!=typeof window?window:{})},{"./filter":2,"./input":6,"./util":11}],9:[function(n,e,t){(function(e){"use strict";var d=function(e,t){if(Array.isArray(e))return e;if(Symbol.iterator in Object(e))return function(e,t){var n=[],r=!0,i=!1,o=void 0;try{for(var u,a=e[Symbol.iterator]();!(r=(u=a.next()).done)&&(n.push(u.value),!t||n.length!==t);r=!0);}catch(e){i=!0,o=e}finally{try{!r&&a.return&&a.return()}finally{if(i)throw o}}return n}(e,t);throw new TypeError("Invalid attempt to destructure non-iterable instance")},t=function(e){{if(e&&e.__esModule)return e;var t={};if(null!=e)for(var n in e)Object.prototype.hasOwnProperty.call(e,n)&&(t[n]=e[n]);return t.default=e,t}}(n("./input")),a=n("./filter");var v=e.jQuery,p=e.strftime;function y(e,t){for(var n=e.toString();n.length {\n this._eventRelay.trigger(\"change\", e, this);\n });\n this._varOnChangeSub = sub;\n }\n }\n\n /**\n * Combine the given `extraInfo` (if any) with the handle's default\n * `_extraInfo` (if any).\n * @private\n */\n _mergeExtraInfo(extraInfo) {\n return util.extend({},\n this._extraInfo ? this._extraInfo : null,\n extraInfo ? extraInfo : null);\n }\n\n /**\n * Close the handle. This clears this handle's contribution to the filter set,\n * and unsubscribes all event listeners.\n */\n close() {\n this._emitter.removeAllListeners();\n this.clear();\n this.setGroup(null);\n }\n\n /**\n * Clear this handle's contribution to the filter set.\n *\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any options that were\n * passed into the `FilterHandle` constructor).\n * \n * @fires FilterHandle#change\n */\n clear(extraInfo) {\n if (!this._filterSet)\n return;\n this._filterSet.clear(this._id);\n this._onChange(extraInfo);\n }\n\n /**\n * Set this handle's contribution to the filter set. This array should consist\n * of the keys of the rows that _should_ be displayed; any keys that are not\n * present in the array will be considered _filtered out_. Note that multiple\n * `FilterHandle` instances in the group may each contribute an array of keys,\n * and only those keys that appear in _all_ of the arrays make it through the\n * filter.\n *\n * @param {string[]} keys - Empty array, or array of keys. To clear the\n * filter, don't pass an empty array; instead, use the\n * {@link FilterHandle#clear} method.\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any options that were\n * passed into the `FilterHandle` constructor).\n * \n * @fires FilterHandle#change\n */\n set(keys, extraInfo) {\n if (!this._filterSet)\n return;\n this._filterSet.update(this._id, keys);\n this._onChange(extraInfo);\n }\n\n /**\n * @return {string[]|null} - Either: 1) an array of keys that made it through\n * all of the `FilterHandle` instances, or, 2) `null`, which means no filter\n * is being applied (all data should be displayed).\n */\n get filteredKeys() {\n return this._filterSet ? this._filterSet.value : null;\n }\n\n /**\n * Subscribe to events on this `FilterHandle`.\n *\n * @param {string} eventType - Indicates the type of events to listen to.\n * Currently, only `\"change\"` is supported.\n * @param {FilterHandle~listener} listener - The callback function that\n * will be invoked when the event occurs.\n * @return {string} - A token to pass to {@link FilterHandle#off} to cancel\n * this subscription.\n */\n on(eventType, listener) {\n return this._emitter.on(eventType, listener);\n }\n\n /**\n * Cancel event subscriptions created by {@link FilterHandle#on}.\n *\n * @param {string} eventType - The type of event to unsubscribe.\n * @param {string|FilterHandle~listener} listener - Either the callback\n * function previously passed into {@link FilterHandle#on}, or the\n * string that was returned from {@link FilterHandle#on}.\n */\n off(eventType, listener) {\n return this._emitter.off(eventType, listener);\n }\n\n _onChange(extraInfo) {\n if (!this._filterSet)\n return;\n this._filterVar.set(this._filterSet.value, this._mergeExtraInfo(extraInfo));\n }\n\n /**\n * @callback FilterHandle~listener\n * @param {Object} event - An object containing details of the event. For\n * `\"change\"` events, this includes the properties `value` (the new\n * value of the filter set, or `null` if no filter set is active),\n * `oldValue` (the previous value of the filter set), and `sender` (the\n * `FilterHandle` instance that made the change).\n */\n\n}\n\n/**\n * @event FilterHandle#change\n * @type {object}\n * @property {object} value - The new value of the filter set, or `null`\n * if no filter set is active.\n * @property {object} oldValue - The previous value of the filter set.\n * @property {FilterHandle} sender - The `FilterHandle` instance that\n * changed the value.\n */\n","import { diffSortedLists } from \"./util\";\n\nfunction naturalComparator(a, b) {\n if (a === b) {\n return 0;\n } else if (a < b) {\n return -1;\n } else if (a > b) {\n return 1;\n }\n}\n\n/**\n * @private\n */\nexport default class FilterSet {\n constructor() {\n this.reset();\n }\n\n reset() {\n // Key: handle ID, Value: array of selected keys, or null\n this._handles = {};\n // Key: key string, Value: count of handles that include it\n this._keys = {};\n this._value = null;\n this._activeHandles = 0;\n }\n\n get value() {\n return this._value;\n }\n\n update(handleId, keys) {\n if (keys !== null) {\n keys = keys.slice(0); // clone before sorting\n keys.sort(naturalComparator);\n }\n\n let {added, removed} = diffSortedLists(this._handles[handleId], keys);\n this._handles[handleId] = keys;\n\n for (let i = 0; i < added.length; i++) {\n this._keys[added[i]] = (this._keys[added[i]] || 0) + 1;\n }\n for (let i = 0; i < removed.length; i++) {\n this._keys[removed[i]]--;\n }\n\n this._updateValue(keys);\n }\n\n /**\n * @param {string[]} keys Sorted array of strings that indicate\n * a superset of possible keys.\n * @private\n */\n _updateValue(keys = this._allKeys) {\n let handleCount = Object.keys(this._handles).length;\n if (handleCount === 0) {\n this._value = null;\n } else {\n this._value = [];\n for (let i = 0; i < keys.length; i++) {\n let count = this._keys[keys[i]];\n if (count === handleCount) {\n this._value.push(keys[i]);\n }\n }\n }\n }\n\n clear(handleId) {\n if (typeof(this._handles[handleId]) === \"undefined\") {\n return;\n }\n\n let keys = this._handles[handleId];\n if (!keys) {\n keys = [];\n }\n\n for (let i = 0; i < keys.length; i++) {\n this._keys[keys[i]]--;\n }\n delete this._handles[handleId];\n\n this._updateValue();\n }\n\n get _allKeys() {\n let allKeys = Object.keys(this._keys);\n allKeys.sort(naturalComparator);\n return allKeys;\n }\n}\n","import Var from \"./var\";\n\n// Use a global so that multiple copies of crosstalk.js can be loaded and still\n// have groups behave as singletons across all copies.\nglobal.__crosstalk_groups = global.__crosstalk_groups || {};\nlet groups = global.__crosstalk_groups;\n\nexport default function group(groupName) {\n if (groupName && typeof(groupName) === \"string\") {\n if (!groups.hasOwnProperty(groupName)) {\n groups[groupName] = new Group(groupName);\n }\n return groups[groupName];\n } else if (typeof(groupName) === \"object\" && groupName._vars && groupName.var) {\n // Appears to already be a group object\n return groupName;\n } else if (Array.isArray(groupName) &&\n groupName.length == 1 &&\n typeof(groupName[0]) === \"string\") {\n return group(groupName[0]);\n } else {\n throw new Error(\"Invalid groupName argument\");\n }\n}\n\nclass Group {\n constructor(name) {\n this.name = name;\n this._vars = {};\n }\n\n var(name) {\n if (!name || typeof(name) !== \"string\") {\n throw new Error(\"Invalid var name\");\n }\n\n if (!this._vars.hasOwnProperty(name))\n this._vars[name] = new Var(this, name);\n return this._vars[name];\n }\n\n has(name) {\n if (!name || typeof(name) !== \"string\") {\n throw new Error(\"Invalid var name\");\n }\n\n return this._vars.hasOwnProperty(name);\n }\n}\n","import group from \"./group\";\nimport { SelectionHandle } from \"./selection\";\nimport { FilterHandle } from \"./filter\";\nimport { bind } from \"./input\";\nimport \"./input_selectize\";\nimport \"./input_checkboxgroup\";\nimport \"./input_slider\";\n\nconst defaultGroup = group(\"default\");\n\nfunction var_(name) {\n return defaultGroup.var(name);\n}\n\nfunction has(name) {\n return defaultGroup.has(name);\n}\n\nif (global.Shiny) {\n global.Shiny.addCustomMessageHandler(\"update-client-value\", function(message) {\n if (typeof(message.group) === \"string\") {\n group(message.group).var(message.name).set(message.value);\n } else {\n var_(message.name).set(message.value);\n }\n });\n}\n\nconst crosstalk = {\n group: group,\n var: var_,\n has: has,\n SelectionHandle: SelectionHandle,\n FilterHandle: FilterHandle,\n bind: bind\n};\n\n/**\n * @namespace crosstalk\n */\nexport default crosstalk;\nglobal.crosstalk = crosstalk;\n","let $ = global.jQuery;\n\nlet bindings = {};\n\nexport function register(reg) {\n bindings[reg.className] = reg;\n if (global.document && global.document.readyState !== \"complete\") {\n $(() => {\n bind();\n });\n } else if (global.document) {\n setTimeout(bind, 100);\n }\n}\n\nexport function bind() {\n Object.keys(bindings).forEach(function(className) {\n let binding = bindings[className];\n $(\".\" + binding.className).not(\".crosstalk-input-bound\").each(function(i, el) {\n bindInstance(binding, el);\n });\n });\n}\n\n// Escape jQuery identifier\nfunction $escape(val) {\n return val.replace(/([!\"#$%&'()*+,./:;<=>?@[\\\\\\]^`{|}~])/g, \"\\\\$1\");\n}\n\nfunction bindEl(el) {\n let $el = $(el);\n Object.keys(bindings).forEach(function(className) {\n if ($el.hasClass(className) && !$el.hasClass(\"crosstalk-input-bound\")) {\n let binding = bindings[className];\n bindInstance(binding, el);\n }\n });\n}\n\nfunction bindInstance(binding, el) {\n let jsonEl = $(el).find(\"script[type='application/json'][data-for='\" + $escape(el.id) + \"']\");\n let data = JSON.parse(jsonEl[0].innerText);\n\n let instance = binding.factory(el, data);\n $(el).data(\"crosstalk-instance\", instance);\n $(el).addClass(\"crosstalk-input-bound\");\n}\n\nif (global.Shiny) {\n let inputBinding = new global.Shiny.InputBinding();\n let $ = global.jQuery;\n $.extend(inputBinding, {\n find: function(scope) {\n return $(scope).find(\".crosstalk-input\");\n },\n initialize: function(el) {\n if (!$(el).hasClass(\"crosstalk-input-bound\")) {\n bindEl(el);\n }\n },\n getId: function(el) {\n return el.id;\n },\n getValue: function(el) {\n\n },\n setValue: function(el, value) {\n\n },\n receiveMessage: function(el, data) {\n\n },\n subscribe: function(el, callback) {\n $(el).data(\"crosstalk-instance\").resume();\n },\n unsubscribe: function(el) {\n $(el).data(\"crosstalk-instance\").suspend();\n }\n });\n global.Shiny.inputBindings.register(inputBinding, \"crosstalk.inputBinding\");\n}\n","import * as input from \"./input\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\n\ninput.register({\n className: \"crosstalk-input-checkboxgroup\",\n\n factory: function(el, data) {\n /*\n * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n * group: \"ct-groupname\"\n */\n let ctHandle = new FilterHandle(data.group);\n\n let lastKnownKeys;\n let $el = $(el);\n $el.on(\"change\", \"input[type='checkbox']\", function() {\n let checked = $el.find(\"input[type='checkbox']:checked\");\n if (checked.length === 0) {\n lastKnownKeys = null;\n ctHandle.clear();\n } else {\n let keys = {};\n checked.each(function() {\n data.map[this.value].forEach(function(key) {\n keys[key] = true;\n });\n });\n let keyArray = Object.keys(keys);\n keyArray.sort();\n lastKnownKeys = keyArray;\n ctHandle.set(keyArray);\n }\n });\n\n return {\n suspend: function() {\n ctHandle.clear();\n },\n resume: function() {\n if (lastKnownKeys)\n ctHandle.set(lastKnownKeys);\n }\n };\n }\n});\n","import * as input from \"./input\";\nimport * as util from \"./util\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\n\ninput.register({\n className: \"crosstalk-input-select\",\n\n factory: function(el, data) {\n /*\n * items: {value: [...], label: [...]}\n * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n * group: \"ct-groupname\"\n */\n\n let first = [{value: \"\", label: \"(All)\"}];\n let items = util.dataframeToD3(data.items);\n let opts = {\n options: first.concat(items),\n valueField: \"value\",\n labelField: \"label\",\n searchField: \"label\"\n };\n\n let select = $(el).find(\"select\")[0];\n\n let selectize = $(select).selectize(opts)[0].selectize;\n\n let ctHandle = new FilterHandle(data.group);\n\n let lastKnownKeys;\n selectize.on(\"change\", function() {\n if (selectize.items.length === 0) {\n lastKnownKeys = null;\n ctHandle.clear();\n } else {\n let keys = {};\n selectize.items.forEach(function(group) {\n data.map[group].forEach(function(key) {\n keys[key] = true;\n });\n });\n let keyArray = Object.keys(keys);\n keyArray.sort();\n lastKnownKeys = keyArray;\n ctHandle.set(keyArray);\n }\n });\n\n return {\n suspend: function() {\n ctHandle.clear();\n },\n resume: function() {\n if (lastKnownKeys)\n ctHandle.set(lastKnownKeys);\n }\n };\n }\n});\n","import * as input from \"./input\";\nimport { FilterHandle } from \"./filter\";\n\nlet $ = global.jQuery;\nlet strftime = global.strftime;\n\ninput.register({\n className: \"crosstalk-input-slider\",\n\n factory: function(el, data) {\n /*\n * map: {\"groupA\": [\"keyA\", \"keyB\", ...], ...}\n * group: \"ct-groupname\"\n */\n let ctHandle = new FilterHandle(data.group);\n\n let opts = {};\n let $el = $(el).find(\"input\");\n let dataType = $el.data(\"data-type\");\n let timeFormat = $el.data(\"time-format\");\n let round = $el.data(\"round\");\n let timeFormatter;\n\n // Set up formatting functions\n if (dataType === \"date\") {\n timeFormatter = strftime.utc();\n opts.prettify = function(num) {\n return timeFormatter(timeFormat, new Date(num));\n };\n\n } else if (dataType === \"datetime\") {\n let timezone = $el.data(\"timezone\");\n if (timezone)\n timeFormatter = strftime.timezone(timezone);\n else\n timeFormatter = strftime;\n\n opts.prettify = function(num) {\n return timeFormatter(timeFormat, new Date(num));\n };\n } else if (dataType === \"number\") {\n if (typeof round !== \"undefined\")\n opts.prettify = function(num) {\n let factor = Math.pow(10, round);\n return Math.round(num * factor) / factor;\n };\n }\n\n $el.ionRangeSlider(opts);\n\n function getValue() {\n let result = $el.data(\"ionRangeSlider\").result;\n\n // Function for converting numeric value from slider to appropriate type.\n let convert;\n let dataType = $el.data(\"data-type\");\n if (dataType === \"date\") {\n convert = function(val) {\n return formatDateUTC(new Date(+val));\n };\n } else if (dataType === \"datetime\") {\n convert = function(val) {\n // Convert ms to s\n return +val / 1000;\n };\n } else {\n convert = function(val) { return +val; };\n }\n\n if ($el.data(\"ionRangeSlider\").options.type === \"double\") {\n return [convert(result.from), convert(result.to)];\n } else {\n return convert(result.from);\n }\n }\n\n let lastKnownKeys = null;\n\n $el.on(\"change.crosstalkSliderInput\", function(event) {\n if (!$el.data(\"updating\") && !$el.data(\"animating\")) {\n let [from, to] = getValue();\n let keys = [];\n for (let i = 0; i < data.values.length; i++) {\n let val = data.values[i];\n if (val >= from && val <= to) {\n keys.push(data.keys[i]);\n }\n }\n keys.sort();\n ctHandle.set(keys);\n lastKnownKeys = keys;\n }\n });\n\n\n // let $el = $(el);\n // $el.on(\"change\", \"input[type=\"checkbox\"]\", function() {\n // let checked = $el.find(\"input[type=\"checkbox\"]:checked\");\n // if (checked.length === 0) {\n // ctHandle.clear();\n // } else {\n // let keys = {};\n // checked.each(function() {\n // data.map[this.value].forEach(function(key) {\n // keys[key] = true;\n // });\n // });\n // let keyArray = Object.keys(keys);\n // keyArray.sort();\n // ctHandle.set(keyArray);\n // }\n // });\n\n return {\n suspend: function() {\n ctHandle.clear();\n },\n resume: function() {\n if (lastKnownKeys)\n ctHandle.set(lastKnownKeys);\n }\n };\n }\n});\n\n\n// Convert a number to a string with leading zeros\nfunction padZeros(n, digits) {\n let str = n.toString();\n while (str.length < digits)\n str = \"0\" + str;\n return str;\n}\n\n// Given a Date object, return a string in yyyy-mm-dd format, using the\n// UTC date. This may be a day off from the date in the local time zone.\nfunction formatDateUTC(date) {\n if (date instanceof Date) {\n return date.getUTCFullYear() + \"-\" +\n padZeros(date.getUTCMonth()+1, 2) + \"-\" +\n padZeros(date.getUTCDate(), 2);\n\n } else {\n return null;\n }\n}\n","import Events from \"./events\";\nimport grp from \"./group\";\nimport * as util from \"./util\";\n\n/**\n * Use this class to read and write (and listen for changes to) the selection\n * for a Crosstalk group. This is intended to be used for linked brushing.\n *\n * If two (or more) `SelectionHandle` instances in the same webpage share the\n * same group name, they will share the same state. Setting the selection using\n * one `SelectionHandle` instance will result in the `value` property instantly\n * changing across the others, and `\"change\"` event listeners on all instances\n * (including the one that initiated the sending) will fire.\n *\n * @param {string} [group] - The name of the Crosstalk group, or if none,\n * null or undefined (or any other falsy value). This can be changed later\n * via the [SelectionHandle#setGroup](#setGroup) method.\n * @param {Object} [extraInfo] - An object whose properties will be copied to\n * the event object whenever an event is emitted.\n */\nexport class SelectionHandle {\n\n constructor(group = null, extraInfo = null) {\n this._eventRelay = new Events();\n this._emitter = new util.SubscriptionTracker(this._eventRelay);\n\n // Name of the group we're currently tracking, if any. Can change over time.\n this._group = null;\n // The Var we're currently tracking, if any. Can change over time.\n this._var = null;\n // The event handler subscription we currently have on var.on(\"change\").\n this._varOnChangeSub = null;\n\n this._extraInfo = util.extend({ sender: this }, extraInfo);\n\n this.setGroup(group);\n }\n\n /**\n * Changes the Crosstalk group membership of this SelectionHandle. The group\n * being switched away from (if any) will not have its selection value\n * modified as a result of calling `setGroup`, even if this handle was the\n * most recent handle to set the selection of the group.\n *\n * The group being switched to (if any) will also not have its selection value\n * modified as a result of calling `setGroup`. If you want to set the\n * selection value of the new group, call `set` explicitly.\n *\n * @param {string} group - The name of the Crosstalk group, or null (or\n * undefined) to clear the group.\n */\n setGroup(group) {\n // If group is unchanged, do nothing\n if (this._group === group)\n return;\n // Treat null, undefined, and other falsy values the same\n if (!this._group && !group)\n return;\n\n if (this._var) {\n this._var.off(\"change\", this._varOnChangeSub);\n this._var = null;\n this._varOnChangeSub = null;\n }\n\n this._group = group;\n\n if (group) {\n this._var = grp(group).var(\"selection\");\n let sub = this._var.on(\"change\", (e) => {\n this._eventRelay.trigger(\"change\", e, this);\n });\n this._varOnChangeSub = sub;\n }\n }\n\n /**\n * Retrieves the current selection for the group represented by this\n * `SelectionHandle`.\n *\n * - If no selection is active, then this value will be falsy.\n * - If a selection is active, but no data points are selected, then this\n * value will be an empty array.\n * - If a selection is active, and data points are selected, then the keys\n * of the selected data points will be present in the array.\n */\n get value() {\n return this._var ? this._var.get() : null;\n }\n\n /**\n * Combines the given `extraInfo` (if any) with the handle's default\n * `_extraInfo` (if any).\n * @private\n */\n _mergeExtraInfo(extraInfo) {\n // Important incidental effect: shallow clone is returned\n return util.extend({},\n this._extraInfo ? this._extraInfo : null,\n extraInfo ? extraInfo : null);\n }\n\n /**\n * Overwrites the current selection for the group, and raises the `\"change\"`\n * event among all of the group's '`SelectionHandle` instances (including\n * this one).\n *\n * @fires SelectionHandle#change\n * @param {string[]} selectedKeys - Falsy, empty array, or array of keys (see\n * {@link SelectionHandle#value}).\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any options that were\n * passed into the `SelectionHandle` constructor).\n */\n set(selectedKeys, extraInfo) {\n if (this._var)\n this._var.set(selectedKeys, this._mergeExtraInfo(extraInfo));\n }\n\n /**\n * Overwrites the current selection for the group, and raises the `\"change\"`\n * event among all of the group's '`SelectionHandle` instances (including\n * this one).\n *\n * @fires SelectionHandle#change\n * @param {Object} [extraInfo] - Extra properties to be included on the event\n * object that's passed to listeners (in addition to any that were passed\n * into the `SelectionHandle` constructor).\n */\n clear(extraInfo) {\n if (this._var)\n this.set(void 0, this._mergeExtraInfo(extraInfo));\n }\n\n /**\n * Subscribes to events on this `SelectionHandle`.\n *\n * @param {string} eventType - Indicates the type of events to listen to.\n * Currently, only `\"change\"` is supported.\n * @param {SelectionHandle~listener} listener - The callback function that\n * will be invoked when the event occurs.\n * @return {string} - A token to pass to {@link SelectionHandle#off} to cancel\n * this subscription.\n */\n on(eventType, listener) {\n return this._emitter.on(eventType, listener);\n }\n\n /**\n * Cancels event subscriptions created by {@link SelectionHandle#on}.\n *\n * @param {string} eventType - The type of event to unsubscribe.\n * @param {string|SelectionHandle~listener} listener - Either the callback\n * function previously passed into {@link SelectionHandle#on}, or the\n * string that was returned from {@link SelectionHandle#on}.\n */\n off(eventType, listener) {\n return this._emitter.off(eventType, listener);\n }\n\n /**\n * Shuts down the `SelectionHandle` object.\n *\n * Removes all event listeners that were added through this handle.\n */\n close() {\n this._emitter.removeAllListeners();\n this.setGroup(null);\n }\n}\n\n/**\n * @callback SelectionHandle~listener\n * @param {Object} event - An object containing details of the event. For\n * `\"change\"` events, this includes the properties `value` (the new\n * value of the selection, or `undefined` if no selection is active),\n * `oldValue` (the previous value of the selection), and `sender` (the\n * `SelectionHandle` instance that made the change).\n */\n\n/**\n * @event SelectionHandle#change\n * @type {object}\n * @property {object} value - The new value of the selection, or `undefined`\n * if no selection is active.\n * @property {object} oldValue - The previous value of the selection.\n * @property {SelectionHandle} sender - The `SelectionHandle` instance that\n * changed the value.\n */\n","export function extend(target, ...sources) {\n for (let i = 0; i < sources.length; i++) {\n let src = sources[i];\n if (typeof(src) === \"undefined\" || src === null)\n continue;\n\n for (let key in src) {\n if (src.hasOwnProperty(key)) {\n target[key] = src[key];\n }\n }\n }\n return target;\n}\n\nexport function checkSorted(list) {\n for (let i = 1; i < list.length; i++) {\n if (list[i] <= list[i-1]) {\n throw new Error(\"List is not sorted or contains duplicate\");\n }\n }\n}\n\nexport function diffSortedLists(a, b) {\n let i_a = 0;\n let i_b = 0;\n\n if (!a) a = [];\n if (!b) b = [];\n\n let a_only = [];\n let b_only = [];\n\n checkSorted(a);\n checkSorted(b);\n\n while (i_a < a.length && i_b < b.length) {\n if (a[i_a] === b[i_b]) {\n i_a++;\n i_b++;\n } else if (a[i_a] < b[i_b]) {\n a_only.push(a[i_a++]);\n } else {\n b_only.push(b[i_b++]);\n }\n }\n\n if (i_a < a.length)\n a_only = a_only.concat(a.slice(i_a));\n if (i_b < b.length)\n b_only = b_only.concat(b.slice(i_b));\n return {\n removed: a_only,\n added: b_only\n };\n}\n\n// Convert from wide: { colA: [1,2,3], colB: [4,5,6], ... }\n// to long: [ {colA: 1, colB: 4}, {colA: 2, colB: 5}, ... ]\nexport function dataframeToD3(df) {\n let names = [];\n let length;\n for (let name in df) {\n if (df.hasOwnProperty(name))\n names.push(name);\n if (typeof(df[name]) !== \"object\" || typeof(df[name].length) === \"undefined\") {\n throw new Error(\"All fields must be arrays\");\n } else if (typeof(length) !== \"undefined\" && length !== df[name].length) {\n throw new Error(\"All fields must be arrays of the same length\");\n }\n length = df[name].length;\n }\n let results = [];\n let item;\n for (let row = 0; row < length; row++) {\n item = {};\n for (let col = 0; col < names.length; col++) {\n item[names[col]] = df[names[col]][row];\n }\n results.push(item);\n }\n return results;\n}\n\n/**\n * Keeps track of all event listener additions/removals and lets all active\n * listeners be removed with a single operation.\n *\n * @private\n */\nexport class SubscriptionTracker {\n constructor(emitter) {\n this._emitter = emitter;\n this._subs = {};\n }\n\n on(eventType, listener) {\n let sub = this._emitter.on(eventType, listener);\n this._subs[sub] = eventType;\n return sub;\n }\n\n off(eventType, listener) {\n let sub = this._emitter.off(eventType, listener);\n if (sub) {\n delete this._subs[sub];\n }\n return sub;\n }\n\n removeAllListeners() {\n let current_subs = this._subs;\n this._subs = {};\n Object.keys(current_subs).forEach((sub) => {\n this._emitter.off(current_subs[sub], sub);\n });\n }\n}\n","import Events from \"./events\";\n\nexport default class Var {\n constructor(group, name, /*optional*/ value) {\n this._group = group;\n this._name = name;\n this._value = value;\n this._events = new Events();\n }\n\n get() {\n return this._value;\n }\n\n set(value, /*optional*/ event) {\n if (this._value === value) {\n // Do nothing; the value hasn't changed\n return;\n }\n let oldValue = this._value;\n this._value = value;\n // Alert JavaScript listeners that the value has changed\n let evt = {};\n if (event && typeof(event) === \"object\") {\n for (let k in event) {\n if (event.hasOwnProperty(k))\n evt[k] = event[k];\n }\n }\n evt.oldValue = oldValue;\n evt.value = value;\n this._events.trigger(\"change\", evt, this);\n\n // TODO: Make this extensible, to let arbitrary back-ends know that\n // something has changed\n if (global.Shiny && global.Shiny.onInputChange) {\n global.Shiny.onInputChange(\n \".clientValue-\" +\n (this._group.name !== null ? this._group.name + \"-\" : \"\") +\n this._name,\n typeof(value) === \"undefined\" ? null : value\n );\n }\n }\n\n on(eventType, listener) {\n return this._events.on(eventType, listener);\n }\n\n off(eventType, listener) {\n return this._events.off(eventType, listener);\n }\n}\n"]} \ No newline at end of file diff --git a/public/2024/08/tdlm-data-dictionary/index_files/crosstalk/scss/crosstalk.scss b/public/2024/08/tdlm-data-dictionary/index_files/crosstalk/scss/crosstalk.scss new file mode 100644 index 0000000..3566561 --- /dev/null +++ b/public/2024/08/tdlm-data-dictionary/index_files/crosstalk/scss/crosstalk.scss @@ -0,0 +1,75 @@ +/* Adjust margins outwards, so column contents line up with the edges of the + parent of container-fluid. */ +.container-fluid.crosstalk-bscols { + margin-left: -30px; + margin-right: -30px; + white-space: normal; +} + +/* But don't adjust the margins outwards if we're directly under the body, + i.e. we were the top-level of something at the console. */ +body > .container-fluid.crosstalk-bscols { + margin-left: auto; + margin-right: auto; +} + +.crosstalk-input-checkboxgroup .crosstalk-options-group .crosstalk-options-column { + display: inline-block; + padding-right: 12px; + vertical-align: top; +} + +@media only screen and (max-width:480px) { + .crosstalk-input-checkboxgroup .crosstalk-options-group .crosstalk-options-column { + display: block; + padding-right: inherit; + } +} + +/* Relevant BS3 styles to make filter_checkbox() look reasonable without Bootstrap */ +.crosstalk-input { + margin-bottom: 15px; /* a la .form-group */ + .control-label { + margin-bottom: 0; + vertical-align: middle; + } + input[type="checkbox"] { + margin: 4px 0 0; + margin-top: 1px; + line-height: normal; + } + .checkbox { + position: relative; + display: block; + margin-top: 10px; + margin-bottom: 10px; + } + .checkbox > label{ + padding-left: 20px; + margin-bottom: 0; + font-weight: 400; + cursor: pointer; + } + .checkbox input[type="checkbox"], + .checkbox-inline input[type="checkbox"] { + position: absolute; + margin-top: 2px; + margin-left: -20px; + } + .checkbox + .checkbox { + margin-top: -5px; + } + .checkbox-inline { + position: relative; + display: inline-block; + padding-left: 20px; + margin-bottom: 0; + font-weight: 400; + vertical-align: middle; + cursor: pointer; + } + .checkbox-inline + .checkbox-inline { + margin-top: 0; + margin-left: 10px; + } +} diff --git a/public/2024/08/tdlm-data-dictionary/index_files/datatables-binding/datatables.js b/public/2024/08/tdlm-data-dictionary/index_files/datatables-binding/datatables.js new file mode 100644 index 0000000..765b53c --- /dev/null +++ b/public/2024/08/tdlm-data-dictionary/index_files/datatables-binding/datatables.js @@ -0,0 +1,1539 @@ +(function() { + +// some helper functions: using a global object DTWidget so that it can be used +// in JS() code, e.g. datatable(options = list(foo = JS('code'))); unlike R's +// dynamic scoping, when 'code' is eval'ed, JavaScript does not know objects +// from the "parent frame", e.g. JS('DTWidget') will not work unless it was made +// a global object +var DTWidget = {}; + +// 123456666.7890 -> 123,456,666.7890 +var markInterval = function(d, digits, interval, mark, decMark, precision) { + x = precision ? d.toPrecision(digits) : d.toFixed(digits); + if (!/^-?[\d.]+$/.test(x)) return x; + var xv = x.split('.'); + if (xv.length > 2) return x; // should have at most one decimal point + xv[0] = xv[0].replace(new RegExp('\\B(?=(\\d{' + interval + '})+(?!\\d))', 'g'), mark); + return xv.join(decMark); +}; + +DTWidget.formatCurrency = function(data, currency, digits, interval, mark, decMark, before, zeroPrint) { + var d = parseFloat(data); + if (isNaN(d)) return ''; + if (zeroPrint !== null && d === 0.0) return zeroPrint; + var res = markInterval(d, digits, interval, mark, decMark); + res = before ? (/^-/.test(res) ? '-' + currency + res.replace(/^-/, '') : currency + res) : + res + currency; + return res; +}; + +DTWidget.formatString = function(data, prefix, suffix) { + var d = data; + if (d === null) return ''; + return prefix + d + suffix; +}; + +DTWidget.formatPercentage = function(data, digits, interval, mark, decMark, zeroPrint) { + var d = parseFloat(data); + if (isNaN(d)) return ''; + if (zeroPrint !== null && d === 0.0) return zeroPrint; + return markInterval(d * 100, digits, interval, mark, decMark) + '%'; +}; + +DTWidget.formatRound = function(data, digits, interval, mark, decMark, zeroPrint) { + var d = parseFloat(data); + if (isNaN(d)) return ''; + if (zeroPrint !== null && d === 0.0) return zeroPrint; + return markInterval(d, digits, interval, mark, decMark); +}; + +DTWidget.formatSignif = function(data, digits, interval, mark, decMark, zeroPrint) { + var d = parseFloat(data); + if (isNaN(d)) return ''; + if (zeroPrint !== null && d === 0.0) return zeroPrint; + return markInterval(d, digits, interval, mark, decMark, true); +}; + +DTWidget.formatDate = function(data, method, params) { + var d = data; + if (d === null) return ''; + // (new Date('2015-10-28')).toDateString() may return 2015-10-27 because the + // actual time created could be like 'Tue Oct 27 2015 19:00:00 GMT-0500 (CDT)', + // i.e. the date-only string is treated as UTC time instead of local time + if ((method === 'toDateString' || method === 'toLocaleDateString') && /^\d{4,}\D\d{2}\D\d{2}$/.test(d)) { + d = d.split(/\D/); + d = new Date(d[0], d[1] - 1, d[2]); + } else { + d = new Date(d); + } + return d[method].apply(d, params); +}; + +window.DTWidget = DTWidget; + +// A helper function to update the properties of existing filters +var setFilterProps = function(td, props) { + // Update enabled/disabled state + var $input = $(td).find('input').first(); + var searchable = $input.data('searchable'); + $input.prop('disabled', !searchable || props.disabled); + + // Based on the filter type, set its new values + var type = td.getAttribute('data-type'); + if (['factor', 'logical'].includes(type)) { + // Reformat the new dropdown options for use with selectize + var new_vals = props.params.options.map(function(item) { + return { text: item, value: item }; + }); + + // Find the selectize object + var dropdown = $(td).find('.selectized').eq(0)[0].selectize; + + // Note the current values + var old_vals = dropdown.getValue(); + + // Remove the existing values + dropdown.clearOptions(); + + // Add the new options + dropdown.addOption(new_vals); + + // Preserve the existing values + dropdown.setValue(old_vals); + + } else if (['number', 'integer', 'date', 'time'].includes(type)) { + // Apply internal scaling to new limits. Updating scale not yet implemented. + var slider = $(td).find('.noUi-target').eq(0); + var scale = Math.pow(10, Math.max(0, +slider.data('scale') || 0)); + var new_vals = [props.params.min * scale, props.params.max * scale]; + + // Note what the new limits will be just for this filter + var new_lims = new_vals.slice(); + + // Determine the current values and limits + var old_vals = slider.val().map(Number); + var old_lims = slider.noUiSlider('options').range; + old_lims = [old_lims.min, old_lims.max]; + + // Preserve the current values if filters have been applied; otherwise, apply no filtering + if (old_vals[0] != old_lims[0]) { + new_vals[0] = Math.max(old_vals[0], new_vals[0]); + } + + if (old_vals[1] != old_lims[1]) { + new_vals[1] = Math.min(old_vals[1], new_vals[1]); + } + + // Update the endpoints of the slider + slider.noUiSlider({ + start: new_vals, + range: {'min': new_lims[0], 'max': new_lims[1]} + }, true); + } +}; + +var transposeArray2D = function(a) { + return a.length === 0 ? a : HTMLWidgets.transposeArray2D(a); +}; + +var crosstalkPluginsInstalled = false; + +function maybeInstallCrosstalkPlugins() { + if (crosstalkPluginsInstalled) + return; + crosstalkPluginsInstalled = true; + + $.fn.dataTable.ext.afnFiltering.push( + function(oSettings, aData, iDataIndex) { + var ctfilter = oSettings.nTable.ctfilter; + if (ctfilter && !ctfilter[iDataIndex]) + return false; + + var ctselect = oSettings.nTable.ctselect; + if (ctselect && !ctselect[iDataIndex]) + return false; + + return true; + } + ); +} + +HTMLWidgets.widget({ + name: "datatables", + type: "output", + renderOnNullValue: true, + initialize: function(el, width, height) { + // in order that the type=number inputs return a number + $.valHooks.number = { + get: function(el) { + var value = parseFloat(el.value); + return isNaN(value) ? "" : value; + } + }; + $(el).html(' '); + return { + data: null, + ctfilterHandle: new crosstalk.FilterHandle(), + ctfilterSubscription: null, + ctselectHandle: new crosstalk.SelectionHandle(), + ctselectSubscription: null + }; + }, + renderValue: function(el, data, instance) { + if (el.offsetWidth === 0 || el.offsetHeight === 0) { + instance.data = data; + return; + } + instance.data = null; + var $el = $(el); + $el.empty(); + + if (data === null) { + $el.append(' '); + // clear previous Shiny inputs (if any) + for (var i in instance.clearInputs) instance.clearInputs[i](); + instance.clearInputs = {}; + return; + } + + var crosstalkOptions = data.crosstalkOptions; + if (!crosstalkOptions) crosstalkOptions = { + 'key': null, 'group': null + }; + if (crosstalkOptions.group) { + maybeInstallCrosstalkPlugins(); + instance.ctfilterHandle.setGroup(crosstalkOptions.group); + instance.ctselectHandle.setGroup(crosstalkOptions.group); + } + + // if we are in the viewer then we always want to fillContainer and + // and autoHideNavigation (unless the user has explicitly set these) + if (window.HTMLWidgets.viewerMode) { + if (!data.hasOwnProperty("fillContainer")) + data.fillContainer = true; + if (!data.hasOwnProperty("autoHideNavigation")) + data.autoHideNavigation = true; + } + + // propagate fillContainer to instance (so we have it in resize) + instance.fillContainer = data.fillContainer; + + var cells = data.data; + + if (cells instanceof Array) cells = transposeArray2D(cells); + + $el.append(data.container); + var $table = $el.find('table'); + if (data.class) $table.addClass(data.class); + if (data.caption) $table.prepend(data.caption); + + if (!data.selection) data.selection = { + mode: 'none', selected: null, target: 'row', selectable: null + }; + if (HTMLWidgets.shinyMode && data.selection.mode !== 'none' && + data.selection.target === 'row+column') { + if ($table.children('tfoot').length === 0) { + $table.append($('')); + $table.find('thead tr').clone().appendTo($table.find('tfoot')); + } + } + + // column filters + var filterRow; + switch (data.filter) { + case 'top': + $table.children('thead').append(data.filterHTML); + filterRow = $table.find('thead tr:last td'); + break; + case 'bottom': + if ($table.children('tfoot').length === 0) { + $table.append($('')); + } + $table.children('tfoot').prepend(data.filterHTML); + filterRow = $table.find('tfoot tr:first td'); + break; + } + + var options = { searchDelay: 1000 }; + if (cells !== null) $.extend(options, { + data: cells + }); + + // options for fillContainer + var bootstrapActive = typeof($.fn.popover) != 'undefined'; + if (instance.fillContainer) { + + // force scrollX/scrollY and turn off autoWidth + options.scrollX = true; + options.scrollY = "100px"; // can be any value, we'll adjust below + + // if we aren't paginating then move around the info/filter controls + // to save space at the bottom and rephrase the info callback + if (data.options.paging === false) { + + // we know how to do this cleanly for bootstrap, not so much + // for other themes/layouts + if (bootstrapActive) { + options.dom = "<'row'<'col-sm-4'i><'col-sm-8'f>>" + + "<'row'<'col-sm-12'tr>>"; + } + + options.fnInfoCallback = function(oSettings, iStart, iEnd, + iMax, iTotal, sPre) { + return Number(iTotal).toLocaleString() + " records"; + }; + } + } + + // auto hide navigation if requested + // Note, this only works on client-side processing mode as on server-side, + // cells (data.data) is null; In addition, we require the pageLength option + // being provided explicitly to enable this. Despite we may be able to deduce + // the default value of pageLength, it may complicate things so we'd rather + // put this responsiblity to users and warn them on the R side. + if (data.autoHideNavigation === true && data.options.paging !== false) { + // strip all nav if length >= cells + if ((cells instanceof Array) && data.options.pageLength >= cells.length) + options.dom = bootstrapActive ? "<'row'<'col-sm-12'tr>>" : "t"; + // alternatively lean things out for flexdashboard mobile portrait + else if (bootstrapActive && window.FlexDashboard && window.FlexDashboard.isMobilePhone()) + options.dom = "<'row'<'col-sm-12'f>>" + + "<'row'<'col-sm-12'tr>>" + + "<'row'<'col-sm-12'p>>"; + } + + $.extend(true, options, data.options || {}); + + var searchCols = options.searchCols; + if (searchCols) { + searchCols = searchCols.map(function(x) { + return x === null ? '' : x.search; + }); + // FIXME: this means I don't respect the escapeRegex setting + delete options.searchCols; + } + + // server-side processing? + var server = options.serverSide === true; + + // use the dataSrc function to pre-process JSON data returned from R + var DT_rows_all = [], DT_rows_current = []; + if (server && HTMLWidgets.shinyMode && typeof options.ajax === 'object' && + /^session\/[\da-z]+\/dataobj/.test(options.ajax.url) && !options.ajax.dataSrc) { + options.ajax.dataSrc = function(json) { + DT_rows_all = $.makeArray(json.DT_rows_all); + DT_rows_current = $.makeArray(json.DT_rows_current); + var data = json.data; + if (!colReorderEnabled()) return data; + var table = $table.DataTable(), order = table.colReorder.order(), flag = true, i, j, row; + for (i = 0; i < order.length; ++i) if (order[i] !== i) flag = false; + if (flag) return data; + for (i = 0; i < data.length; ++i) { + row = data[i].slice(); + for (j = 0; j < order.length; ++j) data[i][j] = row[order[j]]; + } + return data; + }; + } + + var thiz = this; + if (instance.fillContainer) $table.on('init.dt', function(e) { + thiz.fillAvailableHeight(el, $(el).innerHeight()); + }); + // If the page contains serveral datatables and one of which enables colReorder, + // the table.colReorder.order() function will exist but throws error when called. + // So it seems like the only way to know if colReorder is enabled or not is to + // check the options. + var colReorderEnabled = function() { return "colReorder" in options; }; + var table = $table.DataTable(options); + $el.data('datatable', table); + + if ('rowGroup' in options) { + // Maintain RowGroup dataSrc when columns are reordered (#1109) + table.on('column-reorder', function(e, settings, details) { + var oldDataSrc = table.rowGroup().dataSrc(); + var newDataSrc = details.mapping[oldDataSrc]; + table.rowGroup().dataSrc(newDataSrc); + }); + } + + // Unregister previous Crosstalk event subscriptions, if they exist + if (instance.ctfilterSubscription) { + instance.ctfilterHandle.off("change", instance.ctfilterSubscription); + instance.ctfilterSubscription = null; + } + if (instance.ctselectSubscription) { + instance.ctselectHandle.off("change", instance.ctselectSubscription); + instance.ctselectSubscription = null; + } + + if (!crosstalkOptions.group) { + $table[0].ctfilter = null; + $table[0].ctselect = null; + } else { + var key = crosstalkOptions.key; + function keysToMatches(keys) { + if (!keys) { + return null; + } else { + var selectedKeys = {}; + for (var i = 0; i < keys.length; i++) { + selectedKeys[keys[i]] = true; + } + var matches = {}; + for (var j = 0; j < key.length; j++) { + if (selectedKeys[key[j]]) + matches[j] = true; + } + return matches; + } + } + + function applyCrosstalkFilter(e) { + $table[0].ctfilter = keysToMatches(e.value); + table.draw(); + } + instance.ctfilterSubscription = instance.ctfilterHandle.on("change", applyCrosstalkFilter); + applyCrosstalkFilter({value: instance.ctfilterHandle.filteredKeys}); + + function applyCrosstalkSelection(e) { + if (e.sender !== instance.ctselectHandle) { + table + .rows('.' + selClass, {search: 'applied'}) + .nodes() + .to$() + .removeClass(selClass); + if (selectedRows) + changeInput('rows_selected', selectedRows(), void 0, true); + } + + if (e.sender !== instance.ctselectHandle && e.value && e.value.length) { + var matches = keysToMatches(e.value); + + // persistent selection with plotly (& leaflet) + var ctOpts = crosstalk.var("plotlyCrosstalkOpts").get() || {}; + if (ctOpts.persistent === true) { + var matches = $.extend(matches, $table[0].ctselect); + } + + $table[0].ctselect = matches; + table.draw(); + } else { + if ($table[0].ctselect) { + $table[0].ctselect = null; + table.draw(); + } + } + } + instance.ctselectSubscription = instance.ctselectHandle.on("change", applyCrosstalkSelection); + // TODO: This next line doesn't seem to work when renderDataTable is used + applyCrosstalkSelection({value: instance.ctselectHandle.value}); + } + + var inArray = function(val, array) { + return $.inArray(val, $.makeArray(array)) > -1; + }; + + // search the i-th column + var searchColumn = function(i, value) { + var regex = false, ci = true; + if (options.search) { + regex = options.search.regex, + ci = options.search.caseInsensitive !== false; + } + // need to transpose the column index when colReorder is enabled + if (table.colReorder) i = table.colReorder.transpose(i); + return table.column(i).search(value, regex, !regex, ci); + }; + + if (data.filter !== 'none') { + if (!data.hasOwnProperty('filterSettings')) data.filterSettings = {}; + + filterRow.each(function(i, td) { + + var $td = $(td), type = $td.data('type'), filter; + var $input = $td.children('div').first().children('input'); + var disabled = $input.prop('disabled'); + var searchable = table.settings()[0].aoColumns[i].bSearchable; + $input.prop('disabled', !searchable || disabled); + $input.data('searchable', searchable); // for updating later + $input.on('input blur', function() { + $input.next('span').toggle(Boolean($input.val())); + }); + // Bootstrap sets pointer-events to none and we won't be able to click + // the clear button + $input.next('span').css('pointer-events', 'auto').hide().click(function() { + $(this).hide().prev('input').val('').trigger('input').focus(); + }); + var searchCol; // search string for this column + if (searchCols && searchCols[i]) { + searchCol = searchCols[i]; + $input.val(searchCol).trigger('input'); + } + var $x = $td.children('div').last(); + + // remove the overflow: hidden attribute of the scrollHead + // (otherwise the scrolling table body obscures the filters) + // The workaround and the discussion from + // https://github.com/rstudio/DT/issues/554#issuecomment-518007347 + // Otherwise the filter selection will not be anchored to the values + // when the columns number is many and scrollX is enabled. + var scrollHead = $(el).find('.dataTables_scrollHead,.dataTables_scrollFoot'); + var cssOverflowHead = scrollHead.css('overflow'); + var scrollBody = $(el).find('.dataTables_scrollBody'); + var cssOverflowBody = scrollBody.css('overflow'); + var scrollTable = $(el).find('.dataTables_scroll'); + var cssOverflowTable = scrollTable.css('overflow'); + if (cssOverflowHead === 'hidden') { + $x.on('show hide', function(e) { + if (e.type === 'show') { + scrollHead.css('overflow', 'visible'); + scrollBody.css('overflow', 'visible'); + scrollTable.css('overflow-x', 'scroll'); + } else { + scrollHead.css('overflow', cssOverflowHead); + scrollBody.css('overflow', cssOverflowBody); + scrollTable.css('overflow-x', cssOverflowTable); + } + }); + $x.css('z-index', 25); + } + + if (inArray(type, ['factor', 'logical'])) { + $input.on({ + click: function() { + $input.parent().hide(); $x.show().trigger('show'); filter[0].selectize.focus(); + }, + input: function() { + var v1 = JSON.stringify(filter[0].selectize.getValue()), v2 = $input.val(); + if (v1 === '[]') v1 = ''; + if (v1 !== v2) filter[0].selectize.setValue(v2 === '' ? [] : JSON.parse(v2)); + } + }); + var $input2 = $x.children('select'); + filter = $input2.selectize($.extend({ + options: $input2.data('options').map(function(v, i) { + return ({text: v, value: v}); + }), + plugins: ['remove_button'], + hideSelected: true, + onChange: function(value) { + if (value === null) value = []; // compatibility with jQuery 3.0 + $input.val(value.length ? JSON.stringify(value) : ''); + if (value.length) $input.trigger('input'); + $input.attr('title', $input.val()); + if (server) { + searchColumn(i, value.length ? JSON.stringify(value) : '').draw(); + return; + } + // turn off filter if nothing selected + $td.data('filter', value.length > 0); + table.draw(); // redraw table, and filters will be applied + } + }, data.filterSettings.select)); + filter[0].selectize.on('blur', function() { + $x.hide().trigger('hide'); $input.parent().show(); $input.trigger('blur'); + }); + filter.next('div').css('margin-bottom', 'auto'); + } else if (type === 'character') { + var fun = function() { + searchColumn(i, $input.val()).draw(); + }; + // throttle searching for server-side processing + var throttledFun = $.fn.dataTable.util.throttle(fun, options.searchDelay); + $input.on('input', function(e, immediate) { + // always bypass throttling when immediate = true (via the updateSearch method) + (immediate || !server) ? fun() : throttledFun(); + }); + } else if (inArray(type, ['number', 'integer', 'date', 'time'])) { + var $x0 = $x; + $x = $x0.children('div').first(); + $x0.css({ + 'background-color': '#fff', + 'border': '1px #ddd solid', + 'border-radius': '4px', + 'padding': data.vertical ? '35px 20px': '20px 20px 10px 20px' + }); + var $spans = $x0.children('span').css({ + 'margin-top': data.vertical ? '0' : '10px', + 'white-space': 'nowrap' + }); + var $span1 = $spans.first(), $span2 = $spans.last(); + var r1 = +$x.data('min'), r2 = +$x.data('max'); + // when the numbers are too small or have many decimal places, the + // slider may have numeric precision problems (#150) + var scale = Math.pow(10, Math.max(0, +$x.data('scale') || 0)); + r1 = Math.round(r1 * scale); r2 = Math.round(r2 * scale); + var scaleBack = function(x, scale) { + if (scale === 1) return x; + var d = Math.round(Math.log(scale) / Math.log(10)); + // to avoid problems like 3.423/100 -> 0.034230000000000003 + return (x / scale).toFixed(d); + }; + var slider_min = function() { + return filter.noUiSlider('options').range.min; + }; + var slider_max = function() { + return filter.noUiSlider('options').range.max; + }; + $input.on({ + focus: function() { + $x0.show().trigger('show'); + // first, make sure the slider div leaves at least 20px between + // the two (slider value) span's + $x0.width(Math.max(160, $span1.outerWidth() + $span2.outerWidth() + 20)); + // then, if the input is really wide or slider is vertical, + // make the slider the same width as the input + if ($x0.outerWidth() < $input.outerWidth() || data.vertical) { + $x0.outerWidth($input.outerWidth()); + } + // make sure the slider div does not reach beyond the right margin + if ($(window).width() < $x0.offset().left + $x0.width()) { + $x0.offset({ + 'left': $input.offset().left + $input.outerWidth() - $x0.outerWidth() + }); + } + }, + blur: function() { + $x0.hide().trigger('hide'); + }, + input: function() { + if ($input.val() === '') filter.val([slider_min(), slider_max()]); + }, + change: function() { + var v = $input.val().replace(/\s/g, ''); + if (v === '') return; + v = v.split('...'); + if (v.length !== 2) { + $input.parent().addClass('has-error'); + return; + } + if (v[0] === '') v[0] = slider_min(); + if (v[1] === '') v[1] = slider_max(); + $input.parent().removeClass('has-error'); + // treat date as UTC time at midnight + var strTime = function(x) { + var s = type === 'date' ? 'T00:00:00Z' : ''; + var t = new Date(x + s).getTime(); + // add 10 minutes to date since it does not hurt the date, and + // it helps avoid the tricky floating point arithmetic problems, + // e.g. sometimes the date may be a few milliseconds earlier + // than the midnight due to precision problems in noUiSlider + return type === 'date' ? t + 3600000 : t; + }; + if (inArray(type, ['date', 'time'])) { + v[0] = strTime(v[0]); + v[1] = strTime(v[1]); + } + if (v[0] != slider_min()) v[0] *= scale; + if (v[1] != slider_max()) v[1] *= scale; + filter.val(v); + } + }); + var formatDate = function(d) { + d = scaleBack(d, scale); + if (type === 'number') return d; + if (type === 'integer') return parseInt(d); + var x = new Date(+d); + if (type === 'date') { + var pad0 = function(x) { + return ('0' + x).substr(-2, 2); + }; + return x.getUTCFullYear() + '-' + pad0(1 + x.getUTCMonth()) + + '-' + pad0(x.getUTCDate()); + } else { + return x.toISOString(); + } + }; + var opts = type === 'date' ? { step: 60 * 60 * 1000 } : + type === 'integer' ? { step: 1 } : {}; + + opts.orientation = data.vertical ? 'vertical': 'horizontal'; + opts.direction = data.vertical ? 'rtl': 'ltr'; + + filter = $x.noUiSlider($.extend({ + start: [r1, r2], + range: {min: r1, max: r2}, + connect: true + }, opts, data.filterSettings.slider)); + if (scale > 1) (function() { + var t1 = r1, t2 = r2; + var val = filter.val(); + while (val[0] > r1 || val[1] < r2) { + if (val[0] > r1) { + t1 -= val[0] - r1; + } + if (val[1] < r2) { + t2 += r2 - val[1]; + } + filter = $x.noUiSlider($.extend({ + start: [t1, t2], + range: {min: t1, max: t2}, + connect: true + }, opts, data.filterSettings.slider), true); + val = filter.val(); + } + r1 = t1; r2 = t2; + })(); + // format with active column renderer, if defined + var colDef = data.options.columnDefs.find(function(def) { + return (def.targets === i || inArray(i, def.targets)) && 'render' in def; + }); + var updateSliderText = function(v1, v2) { + // we only know how to use function renderers + if (colDef && typeof colDef.render === 'function') { + var restore = function(v) { + v = scaleBack(v, scale); + return inArray(type, ['date', 'time']) ? new Date(+v) : v; + } + $span1.text(colDef.render(restore(v1), 'display')); + $span2.text(colDef.render(restore(v2), 'display')); + } else { + $span1.text(formatDate(v1)); + $span2.text(formatDate(v2)); + } + }; + updateSliderText(r1, r2); + var updateSlider = function(e) { + var val = filter.val(); + // turn off filter if in full range + $td.data('filter', val[0] > slider_min() || val[1] < slider_max()); + var v1 = formatDate(val[0]), v2 = formatDate(val[1]), ival; + if ($td.data('filter')) { + ival = v1 + ' ... ' + v2; + $input.attr('title', ival).val(ival).trigger('input'); + } else { + $input.attr('title', '').val(''); + } + updateSliderText(val[0], val[1]); + if (e.type === 'slide') return; // no searching when sliding only + if (server) { + searchColumn(i, $td.data('filter') ? ival : '').draw(); + return; + } + table.draw(); + }; + filter.on({ + set: updateSlider, + slide: updateSlider + }); + } + + // server-side processing will be handled by R (or whatever server + // language you use); the following code is only needed for client-side + // processing + if (server) { + // if a search string has been pre-set, search now + if (searchCol) $input.trigger('input').trigger('change'); + return; + } + + var customFilter = function(settings, data, dataIndex) { + // there is no way to attach a search function to a specific table, + // and we need to make sure a global search function is not applied to + // all tables (i.e. a range filter in a previous table should not be + // applied to the current table); we use the settings object to + // determine if we want to perform searching on the current table, + // since settings.sTableId will be different to different tables + if (table.settings()[0] !== settings) return true; + // no filter on this column or no need to filter this column + if (typeof filter === 'undefined' || !$td.data('filter')) return true; + + var r = filter.val(), v, r0, r1; + var i_data = function(i) { + if (!colReorderEnabled()) return i; + var order = table.colReorder.order(), k; + for (k = 0; k < order.length; ++k) if (order[k] === i) return k; + return i; // in theory it will never be here... + } + v = data[i_data(i)]; + if (type === 'number' || type === 'integer') { + v = parseFloat(v); + // how to handle NaN? currently exclude these rows + if (isNaN(v)) return(false); + r0 = parseFloat(scaleBack(r[0], scale)) + r1 = parseFloat(scaleBack(r[1], scale)); + if (v >= r0 && v <= r1) return true; + } else if (type === 'date' || type === 'time') { + v = new Date(v); + r0 = new Date(r[0] / scale); r1 = new Date(r[1] / scale); + if (v >= r0 && v <= r1) return true; + } else if (type === 'factor') { + if (r.length === 0 || inArray(v, r)) return true; + } else if (type === 'logical') { + if (r.length === 0) return true; + if (inArray(v === '' ? 'na' : v, r)) return true; + } + return false; + }; + + $.fn.dataTable.ext.search.push(customFilter); + + // search for the preset search strings if it is non-empty + if (searchCol) $input.trigger('input').trigger('change'); + + }); + + } + + // highlight search keywords + var highlight = function() { + var body = $(table.table().body()); + // removing the old highlighting first + body.unhighlight(); + + // don't highlight the "not found" row, so we get the rows using the api + if (table.rows({ filter: 'applied' }).data().length === 0) return; + // highlight global search keywords + body.highlight($.trim(table.search()).split(/\s+/)); + // then highlight keywords from individual column filters + if (filterRow) filterRow.each(function(i, td) { + var $td = $(td), type = $td.data('type'); + if (type !== 'character') return; + var $input = $td.children('div').first().children('input'); + var column = table.column(i).nodes().to$(), + val = $.trim($input.val()); + if (type !== 'character' || val === '') return; + column.highlight(val.split(/\s+/)); + }); + }; + + if (options.searchHighlight) { + table + .on('draw.dt.dth column-visibility.dt.dth column-reorder.dt.dth', highlight) + .on('destroy', function() { + // remove event handler + table.off('draw.dt.dth column-visibility.dt.dth column-reorder.dt.dth'); + }); + + // Set the option for escaping regex characters in our search string. This will be used + // for all future matching. + jQuery.fn.highlight.options.escapeRegex = (!options.search || !options.search.regex); + + // initial highlight for state saved conditions and initial states + highlight(); + } + + // run the callback function on the table instance + if (typeof data.callback === 'function') data.callback(table); + + // double click to edit the cell, row, column, or all cells + if (data.editable) table.on('dblclick.dt', 'tbody td', function(e) { + // only bring up the editor when the cell itself is dbclicked, and ignore + // other dbclick events bubbled up (e.g. from the ) + if (e.target !== this) return; + var target = [], immediate = false; + switch (data.editable.target) { + case 'cell': + target = [this]; + immediate = true; // edit will take effect immediately + break; + case 'row': + target = table.cells(table.cell(this).index().row, '*').nodes(); + break; + case 'column': + target = table.cells('*', table.cell(this).index().column).nodes(); + break; + case 'all': + target = table.cells().nodes(); + break; + default: + throw 'The editable parameter must be "cell", "row", "column", or "all"'; + } + var disableCols = data.editable.disable ? data.editable.disable.columns : null; + var numericCols = data.editable.numeric; + var areaCols = data.editable.area; + var dateCols = data.editable.date; + for (var i = 0; i < target.length; i++) { + (function(cell, current) { + var $cell = $(cell), html = $cell.html(); + var _cell = table.cell(cell), value = _cell.data(), index = _cell.index().column; + var $input; + if (inArray(index, numericCols)) { + $input = $(''); + } else if (inArray(index, areaCols)) { + $input = $(''); + } else if (inArray(index, dateCols)) { + $input = $(''); + } else { + $input = $(''); + } + if (!immediate) { + $cell.data('input', $input).data('html', html); + $input.attr('title', 'Hit Ctrl+Enter to finish editing, or Esc to cancel'); + } + $input.val(value); + if (inArray(index, disableCols)) { + $input.attr('readonly', '').css('filter', 'invert(25%)'); + } + $cell.empty().append($input); + if (cell === current) $input.focus(); + $input.css('width', '100%'); + + if (immediate) $input.on('blur', function(e) { + var valueNew = $input.val(); + if (valueNew !== value) { + _cell.data(valueNew); + if (HTMLWidgets.shinyMode) { + changeInput('cell_edit', [cellInfo(cell)], 'DT.cellInfo', null, {priority: 'event'}); + } + // for server-side processing, users have to call replaceData() to update the table + if (!server) table.draw(false); + } else { + $cell.html(html); + } + }).on('keyup', function(e) { + // hit Escape to cancel editing + if (e.keyCode === 27) $input.trigger('blur'); + }); + + // bulk edit (row, column, or all) + if (!immediate) $input.on('keyup', function(e) { + var removeInput = function($cell, restore) { + $cell.data('input').remove(); + if (restore) $cell.html($cell.data('html')); + } + if (e.keyCode === 27) { + for (var i = 0; i < target.length; i++) { + removeInput($(target[i]), true); + } + } else if (e.keyCode === 13 && e.ctrlKey) { + // Ctrl + Enter + var cell, $cell, _cell, cellData = []; + for (var i = 0; i < target.length; i++) { + cell = target[i]; $cell = $(cell); _cell = table.cell(cell); + _cell.data($cell.data('input').val()); + HTMLWidgets.shinyMode && cellData.push(cellInfo(cell)); + removeInput($cell, false); + } + if (HTMLWidgets.shinyMode) { + changeInput('cell_edit', cellData, 'DT.cellInfo', null, {priority: "event"}); + } + if (!server) table.draw(false); + } + }); + })(target[i], this); + } + }); + + // interaction with shiny + if (!HTMLWidgets.shinyMode && !crosstalkOptions.group) return; + + var methods = {}; + var shinyData = {}; + + methods.updateCaption = function(caption) { + if (!caption) return; + $table.children('caption').replaceWith(caption); + } + + // register clear functions to remove input values when the table is removed + instance.clearInputs = {}; + + var changeInput = function(id, value, type, noCrosstalk, opts) { + var event = id; + id = el.id + '_' + id; + if (type) id = id + ':' + type; + // do not update if the new value is the same as old value + if (event !== 'cell_edit' && !/_clicked$/.test(event) && shinyData.hasOwnProperty(id) && shinyData[id] === JSON.stringify(value)) + return; + shinyData[id] = JSON.stringify(value); + if (HTMLWidgets.shinyMode && Shiny.setInputValue) { + Shiny.setInputValue(id, value, opts); + if (!instance.clearInputs[id]) instance.clearInputs[id] = function() { + Shiny.setInputValue(id, null); + } + } + + // HACK + if (event === "rows_selected" && !noCrosstalk) { + if (crosstalkOptions.group) { + var keys = crosstalkOptions.key; + var selectedKeys = null; + if (value) { + selectedKeys = []; + for (var i = 0; i < value.length; i++) { + // The value array's contents use 1-based row numbers, so we must + // convert to 0-based before indexing into the keys array. + selectedKeys.push(keys[value[i] - 1]); + } + } + instance.ctselectHandle.set(selectedKeys); + } + } + }; + + var addOne = function(x) { + return x.map(function(i) { return 1 + i; }); + }; + + var unique = function(x) { + var ux = []; + $.each(x, function(i, el){ + if ($.inArray(el, ux) === -1) ux.push(el); + }); + return ux; + } + + // change the row index of a cell + var tweakCellIndex = function(cell) { + var info = cell.index(); + // some cell may not be valid. e.g, #759 + // when using the RowGroup extension, datatables will + // generate the row label and the cells are not part of + // the data thus contain no row/col info + if (info === undefined) + return {row: null, col: null}; + if (server) { + info.row = DT_rows_current[info.row]; + } else { + info.row += 1; + } + return {row: info.row, col: info.column}; + } + + var cleanSelectedValues = function() { + changeInput('rows_selected', []); + changeInput('columns_selected', []); + changeInput('cells_selected', transposeArray2D([]), 'shiny.matrix'); + } + // #828 we should clean the selection on the server-side when the table reloads + cleanSelectedValues(); + + // a flag to indicates if select extension is initialized or not + var flagSelectExt = table.settings()[0]._select !== undefined; + // the Select extension should only be used in the client mode and + // when the selection.mode is set to none + if (data.selection.mode === 'none' && !server && flagSelectExt) { + var updateRowsSelected = function() { + var rows = table.rows({selected: true}); + var selected = []; + $.each(rows.indexes().toArray(), function(i, v) { + selected.push(v + 1); + }); + changeInput('rows_selected', selected); + } + var updateColsSelected = function() { + var columns = table.columns({selected: true}); + changeInput('columns_selected', columns.indexes().toArray()); + } + var updateCellsSelected = function() { + var cells = table.cells({selected: true}); + var selected = []; + cells.every(function() { + var row = this.index().row; + var col = this.index().column; + selected = selected.concat([[row + 1, col]]); + }); + changeInput('cells_selected', transposeArray2D(selected), 'shiny.matrix'); + } + table.on('select deselect', function(e, dt, type, indexes) { + updateRowsSelected(); + updateColsSelected(); + updateCellsSelected(); + }) + updateRowsSelected(); + updateColsSelected(); + updateCellsSelected(); + } + + var selMode = data.selection.mode, selTarget = data.selection.target; + var selDisable = data.selection.selectable === false; + if (inArray(selMode, ['single', 'multiple'])) { + var selClass = inArray(data.style, ['bootstrap', 'bootstrap4']) ? 'active' : 'selected'; + // selected1: row indices; selected2: column indices + var initSel = function(x) { + if (x === null || typeof x === 'boolean' || selTarget === 'cell') { + return {rows: [], cols: []}; + } else if (selTarget === 'row') { + return {rows: $.makeArray(x), cols: []}; + } else if (selTarget === 'column') { + return {rows: [], cols: $.makeArray(x)}; + } else if (selTarget === 'row+column') { + return {rows: $.makeArray(x.rows), cols: $.makeArray(x.cols)}; + } + } + var selected = data.selection.selected; + var selected1 = initSel(selected).rows, selected2 = initSel(selected).cols; + // selectable should contain either all positive or all non-positive values, not both + // positive values indicate "selectable" while non-positive values means "nonselectable" + // the assertion is performed on R side. (only column indicides could be zero which indicates + // the row name) + var selectable = data.selection.selectable; + var selectable1 = initSel(selectable).rows, selectable2 = initSel(selectable).cols; + + // After users reorder the rows or filter the table, we cannot use the table index + // directly. Instead, we need this function to find out the rows between the two clicks. + // If user filter the table again between the start click and the end click, the behavior + // would be undefined, but it should not be a problem. + var shiftSelRowsIndex = function(start, end) { + var indexes = server ? DT_rows_all : table.rows({ search: 'applied' }).indexes().toArray(); + start = indexes.indexOf(start); end = indexes.indexOf(end); + // if start is larger than end, we need to swap + if (start > end) { + var tmp = end; end = start; start = tmp; + } + return indexes.slice(start, end + 1); + } + + var serverRowIndex = function(clientRowIndex) { + return server ? DT_rows_current[clientRowIndex] : clientRowIndex + 1; + } + + // row, column, or cell selection + var lastClickedRow; + if (inArray(selTarget, ['row', 'row+column'])) { + // Get the current selected rows. It will also + // update the selected1's value based on the current row selection state + // Note we can't put this function inside selectRows() directly, + // the reason is method.selectRows() will override selected1's value but this + // function will add rows to selected1 (keep the existing selection), which is + // inconsistent with column and cell selection. + var selectedRows = function() { + var rows = table.rows('.' + selClass); + var idx = rows.indexes().toArray(); + if (!server) { + selected1 = addOne(idx); + return selected1; + } + idx = idx.map(function(i) { + return DT_rows_current[i]; + }); + selected1 = selMode === 'multiple' ? unique(selected1.concat(idx)) : idx; + return selected1; + } + // Change selected1's value based on selectable1, then refresh the row state + var onlyKeepSelectableRows = function() { + if (selDisable) { // users can't select; useful when only want backend select + selected1 = []; + return; + } + if (selectable1.length === 0) return; + var nonselectable = selectable1[0] <= 0; + if (nonselectable) { + // should make selectable1 positive + selected1 = $(selected1).not(selectable1.map(function(i) { return -i; })).get(); + } else { + selected1 = $(selected1).filter(selectable1).get(); + } + } + // Change selected1's value based on selectable1, then + // refresh the row selection state according to values in selected1 + var selectRows = function(ignoreSelectable) { + if (!ignoreSelectable) onlyKeepSelectableRows(); + table.$('tr.' + selClass).removeClass(selClass); + if (selected1.length === 0) return; + if (server) { + table.rows({page: 'current'}).every(function() { + if (inArray(DT_rows_current[this.index()], selected1)) { + $(this.node()).addClass(selClass); + } + }); + } else { + var selected0 = selected1.map(function(i) { return i - 1; }); + $(table.rows(selected0).nodes()).addClass(selClass); + } + } + table.on('mousedown.dt', 'tbody tr', function(e) { + var $this = $(this), thisRow = table.row(this); + if (selMode === 'multiple') { + if (e.shiftKey && lastClickedRow !== undefined) { + // select or de-select depends on the last clicked row's status + var flagSel = !$this.hasClass(selClass); + var crtClickedRow = serverRowIndex(thisRow.index()); + if (server) { + var rowsIndex = shiftSelRowsIndex(lastClickedRow, crtClickedRow); + // update current page's selClass + rowsIndex.map(function(i) { + var rowIndex = DT_rows_current.indexOf(i); + if (rowIndex >= 0) { + var row = table.row(rowIndex).nodes().to$(); + var flagRowSel = !row.hasClass(selClass); + if (flagSel === flagRowSel) row.toggleClass(selClass); + } + }); + // update selected1 + if (flagSel) { + selected1 = unique(selected1.concat(rowsIndex)); + } else { + selected1 = selected1.filter(function(index) { + return !inArray(index, rowsIndex); + }); + } + } else { + // js starts from 0 + shiftSelRowsIndex(lastClickedRow - 1, crtClickedRow - 1).map(function(value) { + var row = table.row(value).nodes().to$(); + var flagRowSel = !row.hasClass(selClass); + if (flagSel === flagRowSel) row.toggleClass(selClass); + }); + } + e.preventDefault(); + } else { + $this.toggleClass(selClass); + } + } else { + if ($this.hasClass(selClass)) { + $this.removeClass(selClass); + } else { + table.$('tr.' + selClass).removeClass(selClass); + $this.addClass(selClass); + } + } + if (server && !$this.hasClass(selClass)) { + var id = DT_rows_current[thisRow.index()]; + // remove id from selected1 since its class .selected has been removed + if (inArray(id, selected1)) selected1.splice($.inArray(id, selected1), 1); + } + selectedRows(); // update selected1's value based on selClass + selectRows(false); // only keep the selectable rows + changeInput('rows_selected', selected1); + changeInput('row_last_clicked', serverRowIndex(thisRow.index()), null, null, {priority: 'event'}); + lastClickedRow = serverRowIndex(thisRow.index()); + }); + selectRows(false); // in case users have specified pre-selected rows + // restore selected rows after the table is redrawn (e.g. sort/search/page); + // client-side tables will preserve the selections automatically; for + // server-side tables, we have to *real* row indices are in `selected1` + changeInput('rows_selected', selected1); + if (server) table.on('draw.dt', function(e) { selectRows(false); }); + methods.selectRows = function(selected, ignoreSelectable) { + selected1 = $.makeArray(selected); + selectRows(ignoreSelectable); + changeInput('rows_selected', selected1); + } + } + + if (inArray(selTarget, ['column', 'row+column'])) { + if (selTarget === 'row+column') { + $(table.columns().footer()).css('cursor', 'pointer'); + } + // update selected2's value based on selectable2 + var onlyKeepSelectableCols = function() { + if (selDisable) { // users can't select; useful when only want backend select + selected2 = []; + return; + } + if (selectable2.length === 0) return; + var nonselectable = selectable2[0] <= 0; + if (nonselectable) { + // need to make selectable2 positive + selected2 = $(selected2).not(selectable2.map(function(i) { return -i; })).get(); + } else { + selected2 = $(selected2).filter(selectable2).get(); + } + } + // update selected2 and then + // refresh the col selection state according to values in selected2 + var selectCols = function(ignoreSelectable) { + if (!ignoreSelectable) onlyKeepSelectableCols(); + // if selected2 is not a valide index (e.g., larger than the column number) + // table.columns(selected2) will fail and result in a blank table + // this is different from the table.rows(), where the out-of-range indexes + // doesn't affect at all + selected2 = $(selected2).filter(table.columns().indexes()).get(); + table.columns().nodes().flatten().to$().removeClass(selClass); + if (selected2.length > 0) + table.columns(selected2).nodes().flatten().to$().addClass(selClass); + } + var callback = function() { + var colIdx = selTarget === 'column' ? table.cell(this).index().column : + $.inArray(this, table.columns().footer()), + thisCol = $(table.column(colIdx).nodes()); + if (colIdx === -1) return; + if (thisCol.hasClass(selClass)) { + thisCol.removeClass(selClass); + selected2.splice($.inArray(colIdx, selected2), 1); + } else { + if (selMode === 'single') $(table.cells().nodes()).removeClass(selClass); + thisCol.addClass(selClass); + selected2 = selMode === 'single' ? [colIdx] : unique(selected2.concat([colIdx])); + } + selectCols(false); // update selected2 based on selectable + changeInput('columns_selected', selected2); + } + if (selTarget === 'column') { + $(table.table().body()).on('click.dt', 'td', callback); + } else { + $(table.table().footer()).on('click.dt', 'tr th', callback); + } + selectCols(false); // in case users have specified pre-selected columns + changeInput('columns_selected', selected2); + if (server) table.on('draw.dt', function(e) { selectCols(false); }); + methods.selectColumns = function(selected, ignoreSelectable) { + selected2 = $.makeArray(selected); + selectCols(ignoreSelectable); + changeInput('columns_selected', selected2); + } + } + + if (selTarget === 'cell') { + var selected3 = [], selectable3 = []; + if (selected !== null) selected3 = selected; + if (selectable !== null && typeof selectable !== 'boolean') selectable3 = selectable; + var findIndex = function(ij, sel) { + for (var i = 0; i < sel.length; i++) { + if (ij[0] === sel[i][0] && ij[1] === sel[i][1]) return i; + } + return -1; + } + // Change selected3's value based on selectable3, then refresh the cell state + var onlyKeepSelectableCells = function() { + if (selDisable) { // users can't select; useful when only want backend select + selected3 = []; + return; + } + if (selectable3.length === 0) return; + var nonselectable = selectable3[0][0] <= 0; + var out = []; + if (nonselectable) { + selected3.map(function(ij) { + // should make selectable3 positive + if (findIndex([-ij[0], -ij[1]], selectable3) === -1) { out.push(ij); } + }); + } else { + selected3.map(function(ij) { + if (findIndex(ij, selectable3) > -1) { out.push(ij); } + }); + } + selected3 = out; + } + // Change selected3's value based on selectable3, then + // refresh the cell selection state according to values in selected3 + var selectCells = function(ignoreSelectable) { + if (!ignoreSelectable) onlyKeepSelectableCells(); + table.$('td.' + selClass).removeClass(selClass); + if (selected3.length === 0) return; + if (server) { + table.cells({page: 'current'}).every(function() { + var info = tweakCellIndex(this); + if (findIndex([info.row, info.col], selected3) > -1) + $(this.node()).addClass(selClass); + }); + } else { + selected3.map(function(ij) { + $(table.cell(ij[0] - 1, ij[1]).node()).addClass(selClass); + }); + } + }; + table.on('click.dt', 'tbody td', function() { + var $this = $(this), info = tweakCellIndex(table.cell(this)); + if ($this.hasClass(selClass)) { + $this.removeClass(selClass); + selected3.splice(findIndex([info.row, info.col], selected3), 1); + } else { + if (selMode === 'single') $(table.cells().nodes()).removeClass(selClass); + $this.addClass(selClass); + selected3 = selMode === 'single' ? [[info.row, info.col]] : + unique(selected3.concat([[info.row, info.col]])); + } + selectCells(false); // must call this to update selected3 based on selectable3 + changeInput('cells_selected', transposeArray2D(selected3), 'shiny.matrix'); + }); + selectCells(false); // in case users have specified pre-selected columns + changeInput('cells_selected', transposeArray2D(selected3), 'shiny.matrix'); + + if (server) table.on('draw.dt', function(e) { selectCells(false); }); + methods.selectCells = function(selected, ignoreSelectable) { + selected3 = selected ? selected : []; + selectCells(ignoreSelectable); + changeInput('cells_selected', transposeArray2D(selected3), 'shiny.matrix'); + } + } + } + + // expose some table info to Shiny + var updateTableInfo = function(e, settings) { + // TODO: is anyone interested in the page info? + // changeInput('page_info', table.page.info()); + var updateRowInfo = function(id, modifier) { + var idx; + if (server) { + idx = modifier.page === 'current' ? DT_rows_current : DT_rows_all; + } else { + var rows = table.rows($.extend({ + search: 'applied', + page: 'all' + }, modifier)); + idx = addOne(rows.indexes().toArray()); + } + changeInput('rows' + '_' + id, idx); + }; + updateRowInfo('current', {page: 'current'}); + updateRowInfo('all', {}); + } + table.on('draw.dt', updateTableInfo); + updateTableInfo(); + + // state info + table.on('draw.dt column-visibility.dt', function() { + changeInput('state', table.state()); + }); + changeInput('state', table.state()); + + // search info + var updateSearchInfo = function() { + changeInput('search', table.search()); + if (filterRow) changeInput('search_columns', filterRow.toArray().map(function(td) { + return $(td).find('input').first().val(); + })); + } + table.on('draw.dt', updateSearchInfo); + updateSearchInfo(); + + var cellInfo = function(thiz) { + var info = tweakCellIndex(table.cell(thiz)); + info.value = table.cell(thiz).data(); + return info; + } + // the current cell clicked on + table.on('click.dt', 'tbody td', function() { + changeInput('cell_clicked', cellInfo(this), null, null, {priority: 'event'}); + }) + changeInput('cell_clicked', {}); + + // do not trigger table selection when clicking on links unless they have classes + table.on('mousedown.dt', 'tbody td a', function(e) { + if (this.className === '') e.stopPropagation(); + }); + + methods.addRow = function(data, rowname, resetPaging) { + var n = table.columns().indexes().length, d = n - data.length; + if (d === 1) { + data = rowname.concat(data) + } else if (d !== 0) { + console.log(data); + console.log(table.columns().indexes()); + throw 'New data must be of the same length as current data (' + n + ')'; + }; + table.row.add(data).draw(resetPaging); + } + + methods.updateSearch = function(keywords) { + if (keywords.global !== null) + $(table.table().container()).find('input[type=search]').first() + .val(keywords.global).trigger('input'); + var columns = keywords.columns; + if (!filterRow || columns === null) return; + filterRow.toArray().map(function(td, i) { + var v = typeof columns === 'string' ? columns : columns[i]; + if (typeof v === 'undefined') { + console.log('The search keyword for column ' + i + ' is undefined') + return; + } + // Update column search string and values on linked filter widgets. + // 'input' for factor and char filters, 'change' for numeric filters. + $(td).find('input').first().val(v).trigger('input', [true]).trigger('change'); + }); + table.draw(); + } + + methods.hideCols = function(hide, reset) { + if (reset) table.columns().visible(true, false); + table.columns(hide).visible(false); + } + + methods.showCols = function(show, reset) { + if (reset) table.columns().visible(false, false); + table.columns(show).visible(true); + } + + methods.colReorder = function(order, origOrder) { + table.colReorder.order(order, origOrder); + } + + methods.selectPage = function(page) { + if (table.page.info().pages < page || page < 1) { + throw 'Selected page is out of range'; + }; + table.page(page - 1).draw(false); + } + + methods.reloadData = function(resetPaging, clearSelection) { + // empty selections first if necessary + if (methods.selectRows && inArray('row', clearSelection)) methods.selectRows([]); + if (methods.selectColumns && inArray('column', clearSelection)) methods.selectColumns([]); + if (methods.selectCells && inArray('cell', clearSelection)) methods.selectCells([]); + table.ajax.reload(null, resetPaging); + } + + // update table filters (set new limits of sliders) + methods.updateFilters = function(newProps) { + // loop through each filter in the filter row + filterRow.each(function(i, td) { + var k = i; + if (filterRow.length > newProps.length) { + if (i === 0) return; // first column is row names + k = i - 1; + } + // Update the filters to reflect the updated data. + // Allow "falsy" (e.g. NULL) to signify a no-op. + if (newProps[k]) { + setFilterProps(td, newProps[k]); + } + }); + }; + + table.shinyMethods = methods; + }, + resize: function(el, width, height, instance) { + if (instance.data) this.renderValue(el, instance.data, instance); + + // dynamically adjust height if fillContainer = TRUE + if (instance.fillContainer) + this.fillAvailableHeight(el, height); + + this.adjustWidth(el); + }, + + // dynamically set the scroll body to fill available height + // (used with fillContainer = TRUE) + fillAvailableHeight: function(el, availableHeight) { + + // see how much of the table is occupied by header/footer elements + // and use that to compute a target scroll body height + var dtWrapper = $(el).find('div.dataTables_wrapper'); + var dtScrollBody = $(el).find($('div.dataTables_scrollBody')); + var framingHeight = dtWrapper.innerHeight() - dtScrollBody.innerHeight(); + var scrollBodyHeight = availableHeight - framingHeight; + + // we need to set `max-height` to none as datatables library now sets this + // to a fixed height, disabling the ability to resize to fill the window, + // as it will be set to a fixed 100px under such circumstances, e.g., RStudio IDE, + // or FlexDashboard + // see https://github.com/rstudio/DT/issues/951#issuecomment-1026464509 + dtScrollBody.css('max-height', 'none'); + // set the height + dtScrollBody.height(scrollBodyHeight + 'px'); + }, + + // adjust the width of columns; remove the hard-coded widths on table and the + // scroll header when scrollX/Y are enabled + adjustWidth: function(el) { + var $el = $(el), table = $el.data('datatable'); + if (table) table.columns.adjust(); + $el.find('.dataTables_scrollHeadInner').css('width', '') + .children('table').css('margin-left', ''); + } +}); + + if (!HTMLWidgets.shinyMode) return; + + Shiny.addCustomMessageHandler('datatable-calls', function(data) { + var id = data.id; + var el = document.getElementById(id); + var table = el ? $(el).data('datatable') : null; + if (!table) { + console.log("Couldn't find table with id " + id); + return; + } + + var methods = table.shinyMethods, call = data.call; + if (methods[call.method]) { + methods[call.method].apply(table, call.args); + } else { + console.log("Unknown method " + call.method); + } + }); + +})(); diff --git a/public/2024/08/tdlm-data-dictionary/index_files/datatables-css/datatables-crosstalk.css b/public/2024/08/tdlm-data-dictionary/index_files/datatables-css/datatables-crosstalk.css new file mode 100644 index 0000000..bd1159c --- /dev/null +++ b/public/2024/08/tdlm-data-dictionary/index_files/datatables-css/datatables-crosstalk.css @@ -0,0 +1,32 @@ +.dt-crosstalk-fade { + opacity: 0.2; +} + +html body div.DTS div.dataTables_scrollBody { + background: none; +} + + +/* +Fix https://github.com/rstudio/DT/issues/563 +If the `table.display` is set to "block" (e.g., pkgdown), the browser will display +datatable objects strangely. The search panel and the page buttons will still be +in full-width but the table body will be "compact" and shorter. +In therory, having this attributes will affect `dom="t"` +with `display: block` users. But in reality, there should be no one. +We may remove the below lines in the future if the upstream agree to have this there. +See https://github.com/DataTables/DataTablesSrc/issues/160 +*/ + +table.dataTable { + display: table; +} + + +/* +When DTOutput(fill = TRUE), it receives a .html-fill-item class (via htmltools::bindFillRole()), which effectively amounts to `flex: 1 1 auto`. That's mostly fine, but the case where `fillContainer=TRUE`+`height:auto`+`flex-basis:auto` and the container (e.g., a bslib::card()) doesn't have a defined height is a bit problematic since the table wants to fit the parent but the parent wants to fit the table, which results pretty small table height (maybe because there is a minimum height somewhere?). It seems better in this case to impose a 400px height default for the table, which we can do by setting `flex-basis` to 400px (the table is still allowed to grow/shrink when the container has an opinionated height). +*/ + +.html-fill-container > .html-fill-item.datatables { + flex-basis: 400px; +} diff --git a/public/2024/08/tdlm-data-dictionary/index_files/dt-core/css/jquery.dataTables.extra.css b/public/2024/08/tdlm-data-dictionary/index_files/dt-core/css/jquery.dataTables.extra.css new file mode 100644 index 0000000..b2dd141 --- /dev/null +++ b/public/2024/08/tdlm-data-dictionary/index_files/dt-core/css/jquery.dataTables.extra.css @@ -0,0 +1,28 @@ +/* Selected rows/cells */ +table.dataTable tr.selected td, table.dataTable td.selected { + background-color: #b0bed9 !important; +} +/* In case of scrollX/Y or FixedHeader */ +.dataTables_scrollBody .dataTables_sizing { + visibility: hidden; +} + +/* The datatables' theme CSS file doesn't define +the color but with white background. It leads to an issue that +when the HTML's body color is set to 'white', the user can't +see the text since the background is white. One case happens in the +RStudio's IDE when inline viewing the DT table inside an Rmd file, +if the IDE theme is set to "Cobalt". + +See https://github.com/rstudio/DT/issues/447 for more info + +This fixes should have little side-effects because all the other elements +of the default theme use the #333 font color. + +TODO: The upstream may use relative colors for both the table background +and the color. It means the table can display well without this patch +then. At that time, we need to remove the below CSS attributes. +*/ +div.datatables { + color: #333; +} diff --git a/public/2024/08/tdlm-data-dictionary/index_files/dt-core/css/jquery.dataTables.min.css b/public/2024/08/tdlm-data-dictionary/index_files/dt-core/css/jquery.dataTables.min.css new file mode 100644 index 0000000..ad59f84 --- /dev/null +++ b/public/2024/08/tdlm-data-dictionary/index_files/dt-core/css/jquery.dataTables.min.css @@ -0,0 +1 @@ +:root{--dt-row-selected: 13, 110, 253;--dt-row-selected-text: 255, 255, 255;--dt-row-selected-link: 9, 10, 11;--dt-row-stripe: 0, 0, 0;--dt-row-hover: 0, 0, 0;--dt-column-ordering: 0, 0, 0;--dt-html-background: white}:root.dark{--dt-html-background: rgb(33, 37, 41)}table.dataTable td.dt-control{text-align:center;cursor:pointer}table.dataTable td.dt-control:before{display:inline-block;color:rgba(0, 0, 0, 0.5);content:"►"}table.dataTable tr.dt-hasChild td.dt-control:before{content:"▼"}html.dark table.dataTable td.dt-control:before{color:rgba(255, 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b/public/2024/08/tdlm-data-dictionary/index_files/dt-core/js/jquery.dataTables.min.js @@ -0,0 +1,4 @@ +/*! DataTables 1.13.6 + * ©2008-2023 SpryMedia Ltd - datatables.net/license + */ +!function(n){"use strict";var a;"function"==typeof define&&define.amd?define(["jquery"],function(t){return n(t,window,document)}):"object"==typeof exports?(a=require("jquery"),"undefined"==typeof window?module.exports=function(t,e){return t=t||window,e=e||a(t),n(e,t,t.document)}:n(a,window,window.document)):window.DataTable=n(jQuery,window,document)}(function(P,j,v,H){"use strict";function d(t){var e=parseInt(t,10);return!isNaN(e)&&isFinite(t)?e:null}function l(t,e,n){var a=typeof t,r="string"==a;return"number"==a||"bigint"==a||!!h(t)||(e&&r&&(t=$(t,e)),n&&r&&(t=t.replace(q,"")),!isNaN(parseFloat(t))&&isFinite(t))}function a(t,e,n){var a;return!!h(t)||(h(a=t)||"string"==typeof a)&&!!l(t.replace(V,"").replace(/ @@ -27,7 +27,7 @@ - + @@ -80,9 +80,9 @@ -
-

Welcome!

+

+

Welcome to The Median Duck, a self initiated project that aims to educate and entertain the general public on data analytic topics through the hit UK TV show Taskmaster.

@@ -92,7 +92,6 @@

Welcome!

Your Time Starts Now!


-
@@ -104,13 +103,18 @@

Welcome!

+
+ A Data Dic(tionary) pic of TdlM + +
+
Sidenote: Musings on TdlM
- Strength in Data: Connecting to the Taskmaster Database + Strength in Data: Connecting to the Taskmaster Database
@@ -149,11 +153,6 @@

Welcome!

-
- Hugo shortcodes - -
-