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Information Visualization: Data Types

Join our workshop led by Ben Shneiderman from University of Maryland to learn about Treemaps' implementation and applications in information visualization. Explore various tools like 1-D Linear Document Lens, 2-D Map GIS, and 3-D World CAD. Discover the benefits, challenges, and advanced features of Treemaps. Enhance your data analysis skills with practical exercises and hands-on experience. Don't miss this opportunity to dive deep into the world of Treemaps!

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Information Visualization: Data Types

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  1. Treemap Implementation and Application WorkshopBen ShneidermanHuman-Computer Interaction Laboratory University of MarylandMarc FronsSmartmoney

  2. Information Visualization: Data Types • 1-D Linear Document Lens, SeeSoft, Info Mural, Value Bars • 2-D Map GIS, ArcView, PageMaker, Medical imagery • 3-D World CAD, Medical, Molecules, Architecture • Multi-Dim Parallel Coordinates, Spotfire, XGobi, Visage, Influence Explorer, TableLens, DEVise • Temporal Perspective Wall, LifeLines, Lifestreams, Project Managers, DataSpiral • Tree Cone/Cam/Hyperbolic, TreeBrowser, Treemap • Network Netmap, netViz, SeeNet, Butterfly, Multi-trees (Online Library of Information Visualization Environments) otal.umd.edu/Olive

  3. Tree features: labels node sizes a a a b c b c b c d e f d f e d e f a c b d b e f

  4. Treemap - view large trees with node values • Space filling • Space limited • Color coding • Size coding • Requires learning TreeViz (Mac, Johnson, 1992) NBA-Tree (Sun, Turo, 1993) Analytical Hierarchy (Asahi, 1995) Winsurfer (Teittinen, 1996) Treemap97 (Windows, UMd) Treemap2000 (Java, 2000) Treemap3.0 (2001) (Shneiderman, ACM Trans. on Graphics, 1992)

  5. Treemap - view large trees with node values

  6. Treemap features - Border variations - Labeling - Legends - Exaggeration - Filtering - Animation Turo, 1993

  7. Winsurfer: Full Windows Explorer capability Teittinen, 1995

  8. Treemaps: Strengths and Weaknesses` • Overall pattern is visible • Large nodes are seen easily at any level • Color coding shows relationships • Duplicates or unusual patterns can be seen • Space-filling approach is unfamiliar • Varying aspect ratios hamper size comparison • Slice and dice is hard to follow • Thin slivers are obscure

  9. Treemap - Stock market, clustered by industry

  10. Treemap - Stock market – 3D view

  11. Treemap2000 - Dynamic queries - Easier import - Java Chalasani, 2000

  12. Treemap2000 – Dynamic queries

  13. Treemap3.0 - Fast load - Squarified layout - Map directory - Info tips - Color control - Font control - Print & Save Babaria, Betten & Blowitski, 2001

  14. Treemap3.0 Treemap summary http://www.cs.umd.edu/hcil/treemaps Treemap 3.0 Information and demos http://www.cs.umd.edu/hcil/treemaps/treemap3/ UMd Office of Technology Commercialization http://www.otc.umd.edu/ James Poulos jp227@umail.umd.edu

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