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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: not available
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

Linking:

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