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

  • Authors:
  • Kent Wittenburg;Alessio Malizia;Luca Lupo;Georgiy Pekhteryev

  • Affiliations:
  • Mitsubishi Electric Research Laboratories, Cambridge, MA and U. Carlos III de Madrid;Universidad Carlos III de Madrid, Madrid, Spain;Universidad Carlos III de Madrid, Leganés, Madrid, Spain;Mitsubishi Electric Research Laboratories, Cambridge, MA

  • Venue:
  • Proceedings of the International Working Conference on Advanced Visual Interfaces
  • Year:
  • 2012

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Abstract

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.