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Enhancing Data Visualization with High Interaction Graphics

Explore the benefits of high interaction graphics for data visualization, such as clarity, robustness, and power. Learn about interactive techniques like histograms and scatterplot matrices. Critiques and comparisons of different tools included.

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Enhancing Data Visualization with High Interaction Graphics

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  1. CPSC 533C: Interaction by Jordan Lee 08 Mar 04

  2. Papers Reviewed • High interaction graphics, Stephen G. Eick and Graham J. Wills. European Journal of Operational Research, 81:445-459, 1995. • Worlds within Worlds: Metaphors for Exploring N-Dimensional Virtual Worlds, Steven Feiner and Carl Beshers. UIST 1990, pp 76-83 • Two-handed Interactive Stereoscopic Visualization, David S. Ebert, Christopher D. Shaw, Amen Zwa and Cindy Starr. IEEE Vis 1996.

  3. High Interaction Graphics • Interactivity allows • Clarity

  4. Clarity Example Vs. Interactive Static

  5. High Interaction Graphics • Interactivity allows • Clarity • Robustness

  6. Robustness Example Vs. Interactive Static

  7. High Interaction Graphics • Interactivity allows • Clarity • Robustness • Power

  8. Power Example Districts of the city of Dublin showing areas with high levels of average income.

  9. High Interaction Graphics • Interactivity allows • Clarity • Robustness • Power • Possibility

  10. Possibility Example Multiple Views

  11. High Interaction Graphics • Interactive data types • Lists • Colour code selected items in other plots

  12. High Interaction Graphics • Interactive data types • Lists • Colour code selected items in other plots • Histograms • Colour portion of histogram selected

  13. Histogram Example

  14. High Interaction Graphics • Interactive data types • Lists • Colour code selected items in other plots • Histograms • Colour portion of histogram selected • Boxplots • Like histogram but shows more information in less space • Colour portion of boxplot selected

  15. Boxplot Example

  16. High Interaction Graphics • Interactive data types • Lists • Colour code selected items in other plots • Histograms • Colour portion of histogram selected • Boxplots • Like histogram but shows more information in less space • Colour portion of boxplot selected • Scatterplot matrices • Allow multi-dimensional variables • Select in one cell, highlight in all other cells of matrix

  17. Scatterplot Matrix Example

  18. Critique • Pros • Good reference paper for generating interactive data types • Well structured, easy to read and understand

  19. Worlds within worlds • Tool for financial visualization • Multidimensional analysis (7-space)

  20. Worlds within worlds • Tool for financial visualization • Multidimensional analysis (7-space) • Data glove • 16 DOF • allows “grab” vs “steer”

  21. Worlds within worlds • Tool for financial visualization • Multidimensional analysis (7-space) • Data glove • 16 DOF • allows “grab” vs “steer” • Stereoscopic glasses • Reduces 3D ambiguity • Aids positioning in 3D

  22. Worlds within worlds • “world” • Definition: 3D graph with embedded worlds • Each level reduces complexity by 3 dimensions

  23. Worlds within worlds • “world” • Definition: 3D graph with embedded worlds • Each level reduces complexity by 3 dimensions • Metamorphosis

  24. Critique • Pros • Good implementation details

  25. Critique • Pros • Good implementation details • Cons • No user feedback • No comparison to alternate or past methods • No discussion of scalability or real-time manipulation

  26. Two-handed Interactive…

  27. Two-handed Interactive… • Too to navigate and investigate 3D space • Eg 3D scatterplots

  28. Two-handed Interactive… • Minimally-immersive interaction

  29. Two-handed Interactive… • Minimally-immersive interaction • 3d magnetic trackers

  30. Two-handed Interactive… • Minimally-immersive interaction • 3d magnetic trackers • Non-dominant hand

  31. Two-handed Interactive… • Minimally-immersive interaction • 3d magnetic trackers • Non-dominant hand • Manipulate position and orientation of the scene • Select drawing context from menus

  32. Two-handed Interactive… • Minimally-immersive interaction • 3d magnetic trackers • Non-dominant hand • Manipulate position and orientation of the scene • Select drawing context from menus • Dominant hand

  33. Two-handed Interactive… • Minimally-immersive interaction • 3d magnetic trackers • Non-dominant hand • Manipulate position and orientation of the scene • Select drawing context from menus • Dominant hand • Select 3d volume subset • Pick glyphs to display information

  34. Critique • Pros • Described past iteration of software • Good efficiency analysis and breakdown of optimizations • Actual rendering benchmarks and limits

  35. Critique • Pros • Described past iteration of software • Good efficiency analysis and breakdown of optimizations • Actual rendering benchmarks and limits • Cons • Few implementation details

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