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Multiple View Strategies

Multiple View Strategies. cs5984: Information Visualization Chris North. Quiz. 2 strategies for making overviews: hammer: visually compress Chainsaw: cut Aggregate items or attrs Eliminate items or attrs. Problem. Can’t display everything in one view Scale: Many attributes

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Multiple View Strategies

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  1. Multiple View Strategies cs5984: Information Visualization Chris North

  2. Quiz • 2 strategies for making overviews: • hammer: visually compress • Chainsaw: cut • Aggregate items or attrs • Eliminate items or attrs

  3. Problem • Can’t display everything in one view • Scale: • Many attributes • Many items • Complex data • Multiple data tables(Relational databases) • Multiple data types(e.g. tables, images) • Need different visualizations for different parts of data

  4. Solution • Multiple Views • Linked • a.k.a. Tightly coupled, Coordinated views • User interaction in one view affects other view(s) Separates data into parts Ties parts together

  5. Strategies for Linking A Rough Taxonomy: • Link = link between actions in two views • 3 possible combinations: • select  select: Brushing and Linking • select  navigate: Overview and Detail • navigate  navigate: Synchronized Navigation select, navigate link select, navigate

  6. Brushing and Linking • select  select • Many attributes

  7. Brushing and Linking • Multiple perspectives

  8. Brushing and Linking • Multiple data types • Mutually exclusive structures

  9. Overview and Detail • select  navigate • Word • Webframes

  10. Overview and Detail Many items, few attributes to Few items, many attributes (something about everything) (everything about something)

  11. Overview and Detail • Drill down • 1:M • 3 levels: • folders • files • file

  12. Synchronized Navigation • navigate  navigate • E.g. synchronized scrolling

  13. Synchronized Navigation • Isnt it nice? Dreamweaver macromedia

  14. Quiz • Dynamic Queries?

  15. Quiz Transitivity

  16. Visualization SpreadSheet • Chi, “Visualization Spreadsheet” • Mudita, Abhi

  17. Snap • North, “Snap-Together Visualization” • Varun, Kumar

  18. Visage • Roth et al, CMU • Data-centric • Drag-and-drop data • Brushing • Sage: view construction • http://www-2.cs.cmu.edu/~sage/visage.html

  19. Next Week • Book chapter 8 • Tues: Trees • Rao, “Hyperbolic Trees” • david, harsha • Robertson, “Cone Trees” • anuj, atul • Thurs: Trees • Johnson, “Treemaps” • vishal, jeevak • Beaudoin, “Cheops” • jon, mudita

  20. Homework #3 • Due Thurs Nov 1 • See website for important details • Zoomable visualization design • Use Jazz HiNote to create an information space • Topic ideas: hobby, life story, event, academic field • Goal: help someone learn about topic • 1 page report: analysis of zooming concept, your design • Be creative, have fun! • http://infovis.cs.vt.edu/cs5984/homework3/chnorth1.html • http://vtopus.cs.vt.edu/~north/infoviz/hinoteapplet.html New!

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