OrigamiPlot: An R Package and Shiny Web App Enhanced Visualizations for Multivariate Data
Yiwen Lu, Jiayi Tong, Yuqing Lei, Alex J. Sutton, Haitao Chu, Lisa D., Levine, Thomas Lumley, David A. Asch, Rui Duan, Christopher H. Schmid, Yong, Chen

TL;DR
OrigamiPlot is an open-source R package and Shiny app that introduces a novel, invariant visualization technique for multivariate data, improving interpretability over traditional radar charts.
Contribution
It implements the origami plot, a new visualization method that addresses radar chart limitations, with customizable features for better multivariate data analysis.
Findings
Enhanced visualization of multivariate data
Invariant area property improves interpretability
Versatile application demonstrated with network meta-analysis
Abstract
We introduce OrigamiPlot, an open-source R package and Shiny web application designed to enhance the visualization of multivariate data. This package implements the origami plot, a novel visualization technique proposed by Duan et al. in 2023, which improves upon traditional radar charts by ensuring that the area of the connected region is invariant to the ordering of attributes, addressing a key limitation of radar charts. The software facilitates multivariate decision-making by supporting comparisons across multiple objects and attributes, offering customizable features such as auxiliary axes and weighted attributes for enhanced clarity. Through the R package and user-friendly Shiny interface, researchers can efficiently create and customize plots without requiring extensive programming knowledge. Demonstrated using network meta-analysis as a real-world example, OrigamiPlot proves to…
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Taxonomy
TopicsData Analysis with R
