Data exploration with paired hierarchical visualizations: initial designs of PairTrees

Authors:
Bill Kules;Ben Shneiderman;Catherine Plaisant
Affiliations:
University of Maryland at College Park, College Park, MD;University of Maryland at College Park, College Park, MD;University of Maryland at College Park, College Park, MD
Venue:
dg.o '03 Proceedings of the 2003 annual national conference on Digital government research
Year:
2003

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Abstract

Paired hierarchical visualizations (PairTrees) integrate treemaps, node-link diagrams, choropleth maps and other information visualization techniques to support exploration of hierarchical data sets at multiple levels of abstraction. This paper describes several novel applications of PairTrees in the econometric and health statistics domains, as well as some challenges and trade-offs inherent in the technique.