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README.Rmd
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README.Rmd
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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# dcData
<!-- badges: start -->
[![R build status](https://github.com/mdbeckman/dcData/workflows/R-CMD-check/badge.svg)](https://github.com/mdbeckman/dcData/actions)
<!-- badges: end -->
The `dcData` package includes data sets that accompany *Data Computing (2nd edition)* by Kaplan & Beckman [(eBook)](https://dtkaplan.github.io/DataComputingEbook/) used to teach wrangling and visualization techniques that turn data into information.
## Installation
The development version of `dcData` can be installed from [GitHub](https://github.com/) with:
```{r eval=FALSE, include=TRUE}
library(devtools)
devtools::install_github("mdbeckman/dcData")
```
<!-- You can install the released version of dcData from [CRAN](https://CRAN.R-project.org) with: -->
<!-- ``` r -->
<!-- install.packages("dcData") -->
<!-- ``` -->
<!-- And the development version from [GitHub](https://github.com/) with: -->
<!-- ``` r -->
<!-- # install.packages("devtools") -->
<!-- devtools::install_github("mdbeckman/dcData") -->
<!-- ``` -->
<!-- ## Example -->
<!-- This is a basic example which shows you how to solve a common problem: -->
<!-- ```{r example} -->
<!-- library(dcData) -->
<!-- ## basic example code -->
<!-- ``` -->
<!-- What is special about using `README.Rmd` instead of just `README.md`? You can include R chunks like so: -->
<!-- ```{r cars} -->
<!-- summary(cars) -->
<!-- ``` -->
<!-- You'll still need to render `README.Rmd` regularly, to keep `README.md` up-to-date. `devtools::build_readme()` is handy for this. You could also use GitHub Actions to re-render `README.Rmd` every time you push. An example workflow can be found here: <https://github.com/r-lib/actions/tree/master/examples>. -->