Datasets and code published by the data journalism website 'FiveThirtyEight' available at <https://github.com/fivethirtyeight/data>. Note that while we received guidance from editors at 'FiveThirtyEight', this package is not officially published by 'FiveThirtyEight'.
Version: | 0.6.1 |
Depends: | R (≥ 3.2.4) |
Suggests: | ggplot2, dplyr, tidyr (≥ 1.0.0), readr, tibble, stringr, broom, knitr, rmarkdown, patchwork, fivethirtyeightdata |
Published: | 2020-08-05 |
Author: | Albert Y. Kim |
Maintainer: | Albert Y. Kim <albert.ys.kim at gmail.com> |
BugReports: | https://github.com/rudeboybert/fivethirtyeight/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/rudeboybert/fivethirtyeight |
NeedsCompilation: | no |
Citation: | fivethirtyeight citation info |
Materials: | NEWS |
CRAN checks: | fivethirtyeight results |
Reference manual: | fivethirtyeight.pdf |
Vignettes: |
fivethirtyeight Package The 'fivethirtyeight' R Package: "Tame Data" Principles for Introductory Statistics and Data Science Courses User-Contributed Vignettes |
Package source: | fivethirtyeight_0.6.1.tar.gz |
Windows binaries: | r-devel: fivethirtyeight_0.6.1.zip, r-release: fivethirtyeight_0.6.1.zip, r-oldrel: fivethirtyeight_0.6.0.zip |
macOS binaries: | r-release: fivethirtyeight_0.6.0.tgz, r-oldrel: fivethirtyeight_0.6.1.tgz |
Old sources: | fivethirtyeight archive |
Reverse suggests: | supernova |
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