A comprehensive and user-friendly interface for accessing, manipulating, and analyzing country-level data from around the world. It allows users to retrieve detailed information on countries, including names, regions, continents, populations, currencies, calling codes, and more, all in a tidy data format. The package is designed to work seamlessly within the 'tidyverse' ecosystem, making it easy to filter, arrange, and visualize country-level data in R.
Version: | 0.0.1 |
Depends: | R (≥ 3.5.0) |
Imports: | dplyr, stringr |
Suggests: | testthat (≥ 3.0.0) |
Published: | 2024-09-12 |
DOI: | 10.32614/CRAN.package.tidycountries |
Author: | Dennis Irorere [aut, cre, cph] |
Maintainer: | Dennis Irorere <denironyx at gmail.com> |
BugReports: | https://github.com/denironyx/tidycountries/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/denironyx/tidycountries |
NeedsCompilation: | no |
Materials: | README NEWS |
CRAN checks: | tidycountries results |
Reference manual: | tidycountries.pdf |
Package source: | tidycountries_0.0.1.tar.gz |
Windows binaries: | r-devel: tidycountries_0.0.1.zip, r-release: tidycountries_0.0.1.zip, r-oldrel: tidycountries_0.0.1.zip |
macOS binaries: | r-release (arm64): tidycountries_0.0.1.tgz, r-oldrel (arm64): tidycountries_0.0.1.tgz, r-release (x86_64): tidycountries_0.0.1.tgz, r-oldrel (x86_64): tidycountries_0.0.1.tgz |
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