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Bilal Alsallakh Wolfgang Aigner Silvia Miksch Helwig Hauser

Interactive Visual Analysis. Radial Sets:. of Large Overlapping Sets. Bilal Alsallakh Wolfgang Aigner Silvia Miksch Helwig Hauser. Euler Diagrams. Limited scalability Potentially overlaps Drawability not guaranteed Difficult to identify certain overlaps

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Bilal Alsallakh Wolfgang Aigner Silvia Miksch Helwig Hauser

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  1. Interactive Visual Analysis Radial Sets: of Large Overlapping Sets Bilal Alsallakh Wolfgang Aigner Silvia Miksch Helwig Hauser

  2. Euler Diagrams • Limited scalability • Potentially overlaps • Drawability not guaranteed • Difficult to identify certainoverlaps • Overlapsaresalientfeatures • Analysis tasksoftenrelatedtofindingandcomparingthem

  3. Radial Sets set-membershipdegree [adapted from Wyatt‘s Set Visualizer]

  4. The Overlaps • Absolute size • Relative size • Deviation from marginal independence • 3rd-degree overlaps

  5. Details on Demand Overview First!

  6. Interactive Selection • New selection (B)click • Combine new and existing selection (A) • click + • click + • click +

  7. Video • Showinginteractionswiththeuserinterface • http://www.youtube.com/watch?v=UcYRrPqC5A8

  8. ReducingOverlapsClutter

  9. Scalability 35 sets 26 sets 6 Sets 7 Sets 11 Sets

  10. Limitations • Containment relations unsupported • Visual complexity • Histogram bars • Centered => nobaseline • Radial Arrangement

  11. Applications • Survey data • Multi-label classifications • Comparing different classifiers

  12. Conclusion www.radialsets.org • New metaphor • Aggregation-based • Highly-interactive • Handles about 30 sets • Visual complexity • Future work: • Analytics • Handling large sets

  13. Backup Slides • Evaluation • Aggregations • Other Approachs • Orderingthe Set Regions • Set-typed Data • Tasks related to Set typed Data • Set Regions - 3D Cues • Comparisonwith Parallel Sets

  14. Evaluation • Ongoinguserstudy • 20 subjectsbynow • Answerquestionsrelatedtothetasks T1 .. T7 (refertothepaper) • Somefeaturesexcluded(e.g. high-dgreeoverlaps, astheyneedmore time thanavailabletoexplain). • Frist resultshighly positive! • After 10 min. explanation, themetaphor was easy tounderstand

  15. Aggregations • Set elements into bars • Overlaps into links • Attribute values into color • Multiple bars into one bar

  16. Other Approachs

  17. Element-set Matrix / Overlap Matrixvs. Radial Sets

  18. Set‘o‘grams vs. Radial Sets

  19. Venn vs. Euler Diagarm • A Venn diagram depicts all possible overlaps (incl. empty ones) • An Euler diagram depict actual (non-empty) overlaps only

  20. OrderingtheSet Regions

  21. Set-typed Data • Appear in different forms • Multiple rows • Boolean attributes • Multi-valued attributes • Number of sets • Number of elements • Other data attributes

  22. Tasks relatedto Set typed Data • How do elementsbelongtothesets? • Whichonesareexclusiveto a set, orbelongtoksets. • How do setoverlaps • Whichsetsexhibitmoreoverlaps • Whichelementsbelongtocertainoverlaps • Howis an attributedistributed? • in thesetsor in selectedsubsetstherefore • in theoverlaps

  23. Set Regions: 3D Cues

  24. Comparison with Contingency Wheel++ • Contingency tables vs.set memberships • Different aggregation • Different semantics • New visual representations • Interactions for set operations • Overlap analysis view • But share the basic idea

  25. Comparison with Parallel Sets • Parallel Sets • Designed for Categorical Data • Can be subdivided further • Handles a small number of categories

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