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cs5984: Information Visualization Chris North
Visualization Design cs5984: Information Visualization Chris North
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Spotfire
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Simple Visualization Model
Data View Port Visual Mapping
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Data Table Attributes Items (aka: cases, tuples, data points, …)
Types: Quantitative Ordinal Nominal/Categorical Items (aka: cases, tuples, data points, …)
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Visual Mapping Define a Space Map: data marks
Map: data attributes graphical mark attributes Year X Length Y Popularity size Subject color Award? shape
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Ranking Visual Attributes
Position Length Angle, Slope Size Color Increased accuracy for quantitative data -Cleveland
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Visualization Design Process
Primary Inputs: Data User Task Compare, known item search, patterns, outliers,… Scale # items dimensionality User characteristics Standards/guidelines System resources Bag of tricks: View types Interaction strategies Design Visualization
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Design Principles 5 HCI Metrics: User performance *** Error rate
User satisfaction Learning time retention
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Interactivity Interaction to handle increased scale
Direct Manipulation Visual representation Rapid, incremental, reversible actions Pointing instead of typing Immediate, continuous feedback Encourage exploration
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Increase Data Density Calculate data/pixel
“A pixel is a terrible thing to waste.”
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Eliminate “Chart Junk”
How much “ink” is used for non-data? Reclaim empty space (% screen empty) Attempt simplicity (e.g. am I using 3d just for coolness?)
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Information Visualization Mantra
Overview first, zoom and filter, then details on demand E.g. Spotfire
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Query Previews
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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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Assignment Read for Tues: Read for Thurs: Find some interesting data
Inselberg “Multidimensional detective” (parallel coordinates) book p107 (margaret, josh s) Kandogan “Star Coordinates” web (matt c, fanye) Read for Thurs: Rao “Table Lens” p343, (marty e, purvi) Feiner “Worlds within Worlds” p96 (scott m, ?) Find some interesting data Send me your picture
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