'TidyTuesday' is a project by the 'Data Science Learning Community' in which they post a weekly dataset in a public data repository (<https://github.com/rfordatascience/tidytuesday>) for people to analyze and visualize. This package provides the tools to easily download this data and the description of the source.
| Version: | 1.2.1 |
| Depends: | R (≥ 4.1.0) |
| Imports: | cli,gh,glue,jsonlite,lubridate (≥ 1.7.0),magrittr,purrr (≥ 1.0.0),readr (≥ 1.0.0),rlang,rvest (≥ 0.3.2),tidyr, tools (≥ 3.1.0), utils,xml2 (≥ 1.2.0) |
| Suggests: | base64enc,covr,dplyr,fs,knitr,openssl,readxl (≥1.0.0),rmarkdown,rstudioapi (≥ 0.2),stringr,testthat (≥3.0.0),tibble,usethis,vctrs,withr,yaml |
| Published: | 2025-04-29 |
| DOI: | 10.32614/CRAN.package.tidytuesdayR |
| Author: | Jon Harmon [aut, cre], Ellis Hughes [aut], Thomas Mock [ctb], Data Science Learning Community [dtc] |
| Maintainer: | Jon Harmon <jonthegeek at gmail.com> |
| BugReports: | https://github.com/dslc-io/tidytuesdayR/issues |
| License: | MIT + fileLICENSE |
| URL: | https://dslc-io.github.io/tidytuesdayR/,https://github.com/dslc-io/tidytuesdayR |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | NEWS |
| CRAN checks: | tidytuesdayR results |