ggcharts: Shorten the Distance from Data Visualization Idea to Actual Plot

Streamline the creation of common charts by taking care of a lot of data preprocessing and plot customization for the user. Provides a high-level interface to create plots using 'ggplot2'.

Version: 0.2.1
Depends: R (≥ 3.5.0), ggplot2 (≥ 3.0.0)
Imports: colorspace, dplyr, lifecycle, magrittr, patchwork, rlang
Suggests: gapminder, knitr, lintr, rmarkdown, scales, spelling, tibble, tidyr, testthat (≥ 2.1.0), vdiffr
Published: 2020-05-20
Author: Thomas Neitmann [aut, cre], Julia Silge [ctb, cph], David Robinson [ctb, cph]
Maintainer: Thomas Neitmann <th.neitmann at gmail.com>
BugReports: https://github.com/thomas-neitmann/ggcharts/issues
License: MIT + file LICENSE
URL: https://github.com/thomas-neitmann/ggcharts
NeedsCompilation: no
Materials: README NEWS
CRAN checks: ggcharts results

Downloads:

Reference manual: ggcharts.pdf
Vignettes: customize
highlight
themes
Package source: ggcharts_0.2.1.tar.gz
Windows binaries: r-devel: ggcharts_0.2.1.zip, r-release: ggcharts_0.2.1.zip, r-oldrel: ggcharts_0.2.1.zip
macOS binaries: r-release (arm64): ggcharts_0.2.1.tgz, r-release (x86_64): ggcharts_0.2.1.tgz, r-oldrel: ggcharts_0.2.1.tgz
Old sources: ggcharts archive

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