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Proceedings Paper

Increasing the perceptual salience of relationships in parallel coordinate plots
Author(s): Jonathan M. Harter; Xunlei Wu; Oluwafemi S. Alabi; Madhura Phadke; Lifford Pinto; Daniel Dougherty; Hannah Petersen; Steffen Bass; Russell M. Taylor
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Paper Abstract

We present three extensions to parallel coordinates that increase the perceptual salience of relationships between axes in multivariate data sets: (1) luminance modulation maintains the ability to preattentively detect patterns in the presence of overplotting, (2) adding a one-vs.-all variable display highlights relationships between one variable and all others, and (3) adding a scatter plot within the parallel-coordinates display preattentively highlights clusters and spatial layouts without strongly interfering with the parallel-coordinates display. These techniques can be combined with one another and with existing extensions to parallel coordinates, and two of them generalize beyond cases with known-important axes. We applied these techniques to two real-world data sets (relativistic heavy-ion collision hydrodynamics and weather observations with statistical principal component analysis) as well as the popular car data set. We present relationships discovered in the data sets using these methods.

Paper Details

Date Published: 25 January 2012
PDF: 12 pages
Proc. SPIE 8294, Visualization and Data Analysis 2012, 82940T (25 January 2012); doi: 10.1117/12.907486
Show Author Affiliations
Jonathan M. Harter, The Univ. of North Carolina at Chapel Hill (United States)
Xunlei Wu, The Univ. of North Carolina at Chapel Hill (United States)
Oluwafemi S. Alabi, The Univ. of North Carolina at Chapel Hill (United States)
Madhura Phadke, North Carolina State Univ. (United States)
Lifford Pinto, North Carolina State Univ. (United States)
Daniel Dougherty, Michigan State Univ. (United States)
Hannah Petersen, Duke Univ. (United States)
Steffen Bass, Duke Univ. (United States)
Russell M. Taylor, The Univ. of North Carolina at Chapel Hill (United States)


Published in SPIE Proceedings Vol. 8294:
Visualization and Data Analysis 2012
Pak Chung Wong; David L. Kao; Ming C. Hao; Chaomei Chen; Robert Kosara; Mark A. Livingston; Jinah Park; Ian Roberts, Editor(s)

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