In rstudio-education/dsbox: Data Science Course in a Box

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
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dsbox

The goal of dsbox is to supplement the Data Science Course in a Box project. The package contains the datasets that are used in the materials in Data Science Course in a Box as well as the learnr tutorials.

Installation

You can install the released version of dsbox from CRAN with:

#| eval: false

install.packages("dsbox")

And the development version from GitHub with:

#| eval: false

devtools::install_github("tidyverse/dsbox")

Questions, bugs, feature requests

You can file an issue to get help, report a bug, or make a feature request.

When filing an issue to get help or report a bug, please make a minimal reproducible example using the reprex package. If you haven't heard of or used reprex before, you're in for a treat! Seriously, reprex will make all of your R-question-asking endeavors easier (which is a pretty insane ROI for the five to ten minutes it'll take you to learn what it's all about). For additional reprex pointers, check out the Get help! section of the tidyverse site.

Before opening a new issue, be sure to search issues and pull requests to make sure the bug hasn't been reported and/or already fixed in the development version. By default, the search will be pre-populated with is:issue is:open. You can edit the qualifiers (e.g. is:pr, is:closed) as needed. For example, you'd simply remove is:open to search all issues in the repo, open or closed.