1 / 17

Information Visualization: Data Types

Treemap Implementation and Application Workshop Ben Shneiderman Human-Computer Interaction Laboratory University of Maryland Marc Frons Smartmoney. Information Visualization: Data Types. 1-D Linear Document Lens, SeeSoft, Info Mural, Value Bars

lances
Download Presentation

Information Visualization: Data Types

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  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

More Related