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CSE 557A | Sep 28, 2016 INFORMATION VISUALIZATION Alvitta Ottley Washington University in St. Louis Slide Credits: Mariah Meyer, University of Utah Remco Chang, Tufts University Recap Visual Encoding identify (what and where) magnitude


  1. CSE 557A | Sep 28, 2016 INFORMATION VISUALIZATION Alvitta Ottley Washington University in St. Louis Slide Credits: Mariah Meyer, University of Utah Remco Chang, Tufts University

  2. Recap… Visual Encoding

  3. identify (what and where) magnitude (how much)

  4. identify (what and where) magnitude (how much)

  5. Expressiveness & effectiveness

  6. magnitude (how much) identify (what or where) expressiveness

  7. Where do the ranking come from?

  8. encoding semantics Ware 2010

  9. Today… More on data mapping Multidimensional data

  10. IN CLASS EXERCISE • 4 groups • Each group is assigned a visual channel: • shape, color, length, area • Represent the following dataset using only your visual channel Animal Times bitten Animal Color Animal Level training Cat 2 Cat brown Cat high Dog 12 Dog brown Dog poor Bird 6 Bird blue Bird fair

  11. EXAMPLE D Animal Times bitten Cat 2 Dog 12 B Bird 6 C 0 2 4 6 8 10 12 14

  12. EXAMPLE Animal Color Animal Times bitten Cat brown Cat 2 blue Dog brown Dog 12 B brown Bird blue Bird 6 D C

  13. EXAMPLE GOOD Animal Animal Times bitten Level training C Level of training Cat Cat 2 high Dog Dog 12 poor Bird Bird 6 fair B D POOR

  14. IN CLASS EXERCISE • 4 groups of 4 • Each group is assigned a visual channel: • shape, color, length, area • Represent the following dataset using only your visual channel Animal Times bitten Animal Color Animal Level training Cat 2 Cat brown Cat high Dog 12 Dog brown Dog poor Bird 6 Bird blue Bird fair

  15. WHAT ABOUT A TABLE WITH MORE DIMENSIONS?

  16. TABLE LENS Rao, Card (1994) •

  17. TABLE LENS

  18. TABLE LENS

  19. TABLE LENS

  20. TABLE LENS Video: http://www.open-video.org/details.php?videoid=8304 •

  21. PARALLEL COORDINATES

  22. PARALLEL COORDINATES

  23. DIMENSION ORIENTATION Dasgupta InfoVis 2010

  24. DIMENSION ORDERING

  25. DIMENSION ORDERING

  26. DENSITY REDUCTION Johansson EuroVis 2008

  27. PROTOVIS DEMO

  28. LOTS OF EXTENSIONS… Drosophila Gene Expression Data Exploration and Visualization Lawrence Berkeley National Lab

  29. LOTS OF EXTENSIONS… Fanea et al. InfoVis 05 Villaveces, UNC / Renci Streit, Cytometry Part A, 2006

  30. Due next in 2 weeks

  31. NEXT TIME… Perception

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