Radial visualizations for comparative data analysis

Geoffrey M. Draper; Matthew G. Styles; Richard F. Riesenfeld

doi:10.1117/12.912450

24 January 2012 Radial visualizations for comparative data analysis

Geoffrey M. Draper, Matthew G. Styles, Richard F. Riesenfeld

Proceedings Volume 8294, Visualization and Data Analysis 2012; 82940Y (2012) https://doi.org/10.1117/12.912450
Event: IS&T/SPIE Electronic Imaging, 2012, Burlingame, California, United States

Abstract

SQiRL is a novel visualization system for querying and visualizing large multivariate data sets. Although initially designed for novice users, recent extensions to SQiRL facilitate more advanced analysis without sacrificing the simplicity that makes this visualization appealing to beginners. The default view provides a simple-to-learn interface for query evaluation. Intermediate users are provided a straightforward method for comparing the results of two queries. More advanced users can make use of a "radial crosstab," a new interactive visualization technique that melds the expressive power of traditional crosstabulation with a drag-and-drop canvas.

Citation Download Citation

Geoffrey M. Draper, Matthew G. Styles, and Richard F. Riesenfeld "Radial visualizations for comparative data analysis", Proc. SPIE 8294, Visualization and Data Analysis 2012, 82940Y (24 January 2012); https://doi.org/10.1117/12.912450

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