Bilal Alsallakh Wolfgang Aigner Silvia Miksch Helwig Hauser

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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 - PowerPoint PPT Presentation

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Bilal AlsallakhWolfgang Aigner

Silvia MikschHelwig Hauser

Radial Sets:

Interactive Visual Analysis

of Large Overlapping Sets

Euler Diagrams

• Limited scalability• Potentially overlaps• Drawability not guaranteed• Difficult to identify certain overlaps

• Overlaps are salient features• Analysis tasks often related to

finding and comparing them

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Radial Sets

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set-membershipdegree

[adapted from Wyatt‘s Set Visualizer]

The Overlaps

• Absolute size• Relative size• Deviation from marginal

independence• 3rd-degree overlaps

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Overview First!

Details on Demand

Interactive Selection

• New selection (B) click

• Combine new and existing selection (A)• click +

• click +

• click +

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Video

• Showing interactions with the user interface• http://www.youtube.com/watch?v=UcYRrPqC5A8

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Reducing Overlaps Clutter

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Scalability

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35 sets 26 sets

6 Sets 7 Sets 11 Sets

Limitations

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• Containment relations unsupported• Visual complexity• Histogram bars• Centered => no baseline• Radial Arrangement

Applications

• Survey data• Multi-label classifications• Comparing different classifiers

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Conclusion

• New metaphor• Aggregation-based• Highly-interactive• Handles about 30 sets• Visual complexity• Future work:• Analytics• Handling large sets

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www.radialsets.org

Backup Slides

• Evaluation• Aggregations• Other Approachs• Ordering the Set Regions• Set-typed Data• Tasks related to Set typed Data• Set Regions - 3D Cues• Comparison with Parallel Sets

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Evaluation

• Ongoing user study• 20 subjects by now• Answer questions related to the tasks T1 .. T7 (refer to the

paper)• Some features excluded (e.g. high-dgree overlaps, as they need

more time than available to explain).• Frist results highly positive!

• After 10 min. explanation, the metaphor was easy to understand

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Aggregations

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

Other Approachs

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Element-set Matrix / Overlap Matrixvs. Radial Sets

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Set‘o‘grams vs. Radial Sets

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Venn vs. Euler Diagarm

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

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Ordering the Set Regions

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Set-typed Data

• Appear in different forms• Multiple rows• Boolean attributes• Multi-valued attributes

• Number of sets• Number of elements• Other data attributes

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Tasks related to Set typed Data

• How do elements belong to the sets?• Which ones are exclusive to a set, or belong to k sets.

• How do set overlaps• Which sets exhibit more overlaps• Which elements belong to certain overlaps

• How is an attribute distributed?• in the sets or in selected subsets therefore• in the overlaps

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Set Regions: 3D Cues

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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

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Comparison with Parallel Sets

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

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Eye/Hair Black Brown Red Blond

Brown 68 119 29 7

Blue 20 84 17 94

Hazel 15 54 14 10

Green 5 29 14 14

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