Turnkey Visualisations for Exploratory Data Analysis
Overview
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.
- Fixed bug were categorical columns with large number of levels throw an error
even when custom palette is supplied (issue 20
- Added article on saving plots
- Multi-column sort now powered by
rank::rank_stratified()for true stratified ranking.
See rank release notes (0.2.0).
- Added horizontal line at y=0 to numeric barplots with negative values
- Added
inter_plot_spacingparamater toggstack_optionscontrolling the vertical space between each of the stacked plots - Added margin_y_numbers and margin_y_title to
ggstack - Added
expand_xparameter toggstack_optionsandggparallel_options - Can customise fontface of y-axis titles using the fontface_y_title argument of ggstack_options
- Fixed bug where which caused legend_ncol to be ignored
Show all changes in 0.3.0Hide the rest of the changes in 0.3.0
- Fixed bug where
show_legendargument was ignored byggparallel_options
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
The repository also keeps web-only articles.
- Help pages
- 24 (13 internal)includes a package overview page
- Examples that run
- 100%5 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 94%
- Return-value docs
- 100%
- Help pages citing references
- 0%
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- 100%
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Checks run against github.com/ccicb/ggeda on 2026-10-21.
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GitHub Pages site last deployed 2026-09-26 · The repository has a site deploy workflow
pkgdown site last built 2026-09-26
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Package metadata
- First published
- 2025-05-07
- Total releases
- 3 / 1 yrs
- License
- MIT + file LICENSE OSI
- Minimum R
- ≥ 3.5
- Bundled data
- 110 KB / 3 files
- Download size
- 2.4 MB
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