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Multi-Dimensional Data Visualization
cs5984: Information Visualization Chris North
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Data Space Multi-dimensional: databases,… 1D: timelines,… 2D: maps,…
3D: volumes,… Hierarchies/Trees: directories,… Networks/Graphs: web, communications,… Document collections: digital libraries,…
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Multi-dimensional … Fewer dimensions -> easier
1,2,3-D scatterplots … Cleveland’s rules We will return to some more interesting 1,2,3-D cases later What about many dimensional data? n-D …
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Glyphs: Chernoff Faces
10 Parameters: Head Eccentricity Eye Eccentricity Pupil Size Eyebrow Slope Nose Size Mouth Vertical Offset Eye Spacing Eye Size Mouth Width Mouth Openness
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Glyphs: Stars
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Multiple Views Scatterplot Matrix All pairs of attributes
Brushing and linking
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Brushing and linking
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Today Inselberg, “Multidimensional detective” (parallel coordinates), book p107 margaret, josh s
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Today Kandogan, “Star Coordinates”, (web) matt c, fanye
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Assignment Read for Thurs: Read for next Tues: Read for next Thurs:
Rao, “Table Lens”, p343, (marty e, purvi) Feiner, “Worlds within Worlds”, p96 (scott m, ajay) Read for next Tues: Tweedie&Spence, “Externalizing Abstract Mathematical Models” (Influence Explorer), p276 Keim, “VisDB”, p126 Read for next Thurs: Fishkin, “Movable filters” (Magic Lens), p253 Doan, “Query Previews”, web page Send me your picture Id #
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Homework #1: Thurs Feb 1 Get some data (>=1000 items, >=6 attributes) Visualize it (>=2 tools) Spotfire, Advizor, Table Lens, Parallel Coordinates, mmvz Written report (2-3 pages) data: Usability – Rex hartson eye-tracking - Debby hix Biotech – lenny Heath, naren R NASA - Layne watson dept - Cliff Shaffer univ - Dennis kafura software eng - Steve Edwards survey data - Jan lee
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