gilmoregirls

The goal of gilmoregirls is to provide the complete script transcription of the Gilmore Girls (work in progress) and information about the episodes of the TV Show.

Installation

You can install the development version of gilmoregirls from GitHub with:

# install.packages("devtools")
devtools::install_github("lgiselebock/gilmoregirls")

Example

The gilmoregirls package comes with one dataset, that contains the information about all the episodes in the show.

library(gilmoregirls)

dplyr::glimpse(gilmoregirls_info)
#> Rows: 153
#> Columns: 11
#> $ index             <int> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 1…
#> $ season            <int> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1…
#> $ episode           <int> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 1…
#> $ title             <chr> "Pilot", "The Lorelais' First Day at Chilton", "Kill…
#> $ directed_by       <chr> "Lesli Linka Glatter", "Arlene Sanford", "Adam Nimoy…
#> $ written_by        <chr> "Amy Sherman-Palladino", "Amy Sherman-Palladino", "J…
#> $ air_date          <date> 2000-10-05, 2000-10-12, 2000-10-19, 2000-10-26, 200…
#> $ us_views_millions <dbl> 5.03, 3.40, 2.89, 3.93, 3.88, 3.73, 3.45, 3.80, 3.62…
#> $ imdb_rating       <dbl> 8.1, 8.0, 7.8, 7.9, 7.8, 8.5, 8.4, 8.0, 8.7, 8.3, 7.…
#> $ description       <chr> "Rory is accepted into the elite Chilton prep school…
#> $ collected_date    <date> 2023-08-28, 2023-08-28, 2023-08-28, 2023-08-28, 202…

Audience (in millions) in the USA

gilmoregirls_info |> 
  dplyr::mutate(season = as.factor(season)) |> 
  ggplot2::ggplot() +
  ggplot2::aes(
    x = index,
    y = us_views_millions,
    fill = season,
    width = 0.5
  ) +
  ggplot2::geom_col() +
  ggplot2::labs(
    x = "Episodes",
    y = "Audience (millions) in the USA",
    fill = "Season"
  ) +
  ggplot2::scale_x_continuous(breaks = seq(0, 153, 20)) +
  ggplot2::scale_y_continuous(
    limits = c(0, 8), 
    breaks = seq(0, 8, 2)
  ) +
  ggplot2::scale_fill_manual(
    values = c(
      "#d4b9a9",
      "#5271ff",
      "#52c5c7",
      "#c131e8",
      "#fc9b5e",
      "#ffdd49",
      "#cd570f"
    )
  ) +
  ggplot2::theme_minimal() +
  ggplot2::theme(
    panel.grid.major.x = ggplot2::element_blank(),
    panel.grid.minor = ggplot2::element_blank(),
    legend.position = c(1.06, 1.06),
    legend.justification = c("right", "top"),
    legend.box.just = "right",
    plot.margin = ggplot2::unit(c(1, 1, 1, 1), "cm"),
    text = ggplot2::element_text(size = 10)
  )

In that case, don’t forget to commit and push the resulting figure files, so they display on GitHub and CRAN.