ggEDA: Turnkey Visualisations for Exploratory Data Analysis

Provides interactive visualisations for exploratory data analysis of high-dimensional datasets. Includes parallel coordinate plots for exploring large datasets with mostly quantitative features, but also stacked one-dimensional visualisations that more effectively show missingness and complex categorical relationships in smaller datasets.

Version: 0.1.0
Depends: R (≥ 3.5)
Imports: assertions (≥ 0.2.0), cli, ggiraph (≥ 0.8.11), ggplot2, ggtext, grDevices, patchwork (≥ 1.3.0), rank (≥ 0.1.1), rlang
Suggests: covr, infotheo, knitr, rmarkdown, testthat (≥ 3.0.0), TSP
Published: 2025-05-07
DOI: 10.32614/CRAN.package.ggEDA
Author: Sam El-Kamand ORCID iD [aut, cre], Children's Cancer Institute Australia [cph]
Maintainer: Sam El-Kamand <sam.elkamand at gmail.com>
BugReports: https://github.com/CCICB/ggEDA/issues
License: MIT + file LICENSE
URL: https://github.com/CCICB/ggEDA, https://ccicb.github.io/ggEDA/
NeedsCompilation: no
Materials: README NEWS
CRAN checks: ggEDA results

Documentation:

Reference manual: ggEDA.pdf

Downloads:

Package source: ggEDA_0.1.0.tar.gz
Windows binaries: r-devel: ggEDA_0.1.0.zip, r-release: ggEDA_0.1.0.zip, r-oldrel: ggEDA_0.1.0.zip
macOS binaries: r-release (arm64): ggEDA_0.1.0.tgz, r-oldrel (arm64): ggEDA_0.1.0.tgz, r-release (x86_64): ggEDA_0.1.0.tgz, r-oldrel (x86_64): ggEDA_0.1.0.tgz

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