Visualizing set-valued attributes in parallel with equal-height histograms

Visualization of set-valued attributes in multi-dimensional information visualization systems remains a relatively unexplored problem. Here we introduce a novel method for visualizing set-valued attributes that we call the singleton set distribution view and integrate it into an interactive multi-dimensional attribute visualization tool utilizing parallel bargrams (aka equal-height histograms) as its main visual motif. We discuss our design rationale and report on the results of an evaluation study.