Can I read Origami Plot: a Novel Multivariate Data Visualization Tool That Improves Radar Chart on EtoBox?

Origami Plot: a Novel Multivariate Data Visualization Tool That Improves Radar Chart by Rui Duan; Jiayi Tong; Alex J. Sutton; David A. Asch; Haitao Chu; Christopher H. Schmid; Yong Chen is a Decision Sciences article available to read on EtoBox.

What is Origami Plot: a Novel Multivariate Data Visualization Tool That Improves Radar Chart about?

Objectives We propose the origami plot, which maintains the original functionality of a radar chart and avoids potential misuse of its connected regions, with newly added features to better assist multicriteria decision-making. Study Design and Setting Built upon a radar chart, the origami plot adds additional auxiliary axes and points such that the area of the connected region of all dots is invariant to the ordering of axes. As such, it enables ranking different individuals by the overall performance for multicriteria decision-making while maintaining the intuitive visual appeal of the radar chart. We develop extensions of the origami plot, including the weighted origami plot, which allows reweighting of each attribute to define the overall performance, and the pairwise origami plot, which highlights comparisons between two individuals. Results We illustrate the different versions of origami plots using the hospital compare database developed by the Centers for Medicare & Medicaid Services (CMS). The plot shows individual hospital's performance on mortality, readmission, complication, and infection, as well as patient experience and timely and effective care, as well as their ove

Who reads Origami Plot: a Novel Multivariate Data Visualization Tool That Improves Radar Chart?

Author

Rui Duan; Jiayi Tong; Alex J. Sutton; David A. Asch; Haitao Chu; Christopher H. Schmid; Yong Chen

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Decision Sciences (Social Sciences)