OrigamiPlot: An R Package and Shiny Web App Enhanced Visualizations for Multivariate Data
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arXiv
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| Format: | Preprint |
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2024
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| author | Lu, Yiwen Tong, Jiayi Lei, Yuqing Sutton, Alex J. Chu, Haitao Levine, Lisa D. Lumley, Thomas Asch, David A. Duan, Rui Schmid, Christopher H. Chen, Yong |
| author_facet | Lu, Yiwen Tong, Jiayi Lei, Yuqing Sutton, Alex J. Chu, Haitao Levine, Lisa D. Lumley, Thomas Asch, David A. Duan, Rui Schmid, Christopher H. Chen, Yong |
| contents | 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 be a versatile tool for visualizing multivariate data across various fields. This package opens new opportunities for simplifying decision-making processes with complex data. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_12674 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | OrigamiPlot: An R Package and Shiny Web App Enhanced Visualizations for Multivariate Data Lu, Yiwen Tong, Jiayi Lei, Yuqing Sutton, Alex J. Chu, Haitao Levine, Lisa D. Lumley, Thomas Asch, David A. Duan, Rui Schmid, Christopher H. Chen, Yong Human-Computer Interaction Methodology 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 be a versatile tool for visualizing multivariate data across various fields. This package opens new opportunities for simplifying decision-making processes with complex data. |
| title | OrigamiPlot: An R Package and Shiny Web App Enhanced Visualizations for Multivariate Data |
| topic | Human-Computer Interaction Methodology |
| url | https://arxiv.org/abs/2411.12674 |