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GoldenVizR: Rule-Based Quality Checks for 'ggplot2' Visualizations Based on the 25 Golden Rules of Data Visualization

Quality-checking tools for reviewing R data visualizations built with the 'ggplot2' library against the 25 GoldenViz rules described at <https://goldenviz.org/>. The package provides a visual QA and teaching layer that helps users identify common chart clarity, readability, and integrity issues.

Version: 0.1.0
Depends: R (≥ 4.1)
Imports: ggplot2, htmltools
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown, roxygen2
Published: 2026-07-30
DOI: 10.32614/CRAN.package.GoldenVizR
Author: Wajdi Ben Saad ORCID iD [aut, cre]
Maintainer: Wajdi Ben Saad <wajdi at goldenviz.org>
BugReports: https://github.com/WajdiBenSaad/GoldenViz_R/issues
License: AGPL (≥ 3)
URL: https://github.com/WajdiBenSaad/GoldenViz_R
NeedsCompilation: no
Language: en-US
Materials: README, NEWS
CRAN checks: GoldenVizR results

Documentation:

Reference manual: GoldenVizR.html , GoldenVizR.pdf
Vignettes: Examples (source, R code)
How GoldenVizR Checks Work (source, R code)
Installation (source, R code)
Quickstart (source, R code)
The 25 Golden Rules Behind GoldenVizR (source, R code)

Downloads:

Package source: GoldenVizR_0.1.0.tar.gz
Windows binaries: r-devel: GoldenVizR_0.1.0.zip, r-release: GoldenVizR_0.1.0.zip, r-oldrel: GoldenVizR_0.1.0.zip
macOS binaries: r-release (arm64): GoldenVizR_0.1.0.tgz, r-oldrel (arm64): GoldenVizR_0.1.0.tgz, r-release (x86_64): GoldenVizR_0.1.0.tgz, r-oldrel (x86_64): GoldenVizR_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=GoldenVizR 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.