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Rich and Scalable Set Exploration using Visualizations of Element Aggregations
Rich and Scalable Set Exploration
using Visualizations of Element Aggregations
Datasets commonly include multi-value (set-typed) attributes that describe set memberships over elements;
    such as genres per movie or courses taken per student.
These attributes describe rich relations across elements, sets, and set intersections.
Venn diagrams are intuitive, but they cannot show more than a few sets and elements.

With AggreSet, you can explore set-typed data from overview to detail.
AggreSet supports rapid highlighting selection, filtering, comparison, and analysis of set relations
    including subsets ⊆, identity =, disjoint sets ∅, and set intersection strength.
Use AggreSet now! Load a sample data below, or import your data.

AggreSet is now fully integrated into Keshif!
   Just click on to open set matrix for multi-valued categorical summaries.

Authors: M. Adil Yalçın, Niklas Elmqvist, and Ben Bederson

Teaser Video (30 seconds)
Overview Video (5 minutes)

Pre-Print Paper (Published in IEEE Trans. Visualization & Comp. Graphics - InfoVis 2015)