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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
DOI: 10.32614/CRAN.package.ggcharts
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

Documentation:

Reference manual: ggcharts.pdf
Vignettes: customize
highlight
themes

Downloads:

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-oldrel (arm64): ggcharts_0.2.1.tgz, r-release (x86_64): ggcharts_0.2.1.tgz, r-oldrel (x86_64): ggcharts_0.2.1.tgz
Old sources: ggcharts archive

Reverse dependencies:

Reverse imports: bartcs

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ggcharts to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.