Parallel Sets in the Real World: Three Case Studies


Parallel Sets are a visualization technique for categorical data. We recently released an implementation to the public in an effort to make our research useful to real users. This paper presents three case studies of Parallel Sets in use with real data.
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Robert Kosara, Caroline Ziemkiewicz, F. Joseph Mako III, Jonathan Miles, Kam Tin Seong,
Parallel Sets in the Real World: Three Case Studies,
IEEE InfoVis Discovery Exhibition, 2009.
Best Presentation Award