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Information Visualization (Part 1)
cs3724: HCI
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The Problem Data Human Data Transfer Goal: Insight How?
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Human Vision Highest bandwidth sense Fast, parallel
Pattern recognition Pre-attentive Extends memory and cognitive capacity (Multiplication test) People think visually Impressive. Lets use it!
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Find the Red Square:
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Which state has highest Income?
Relationship between Income and Education? Outliers?
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College Degree % Per Capita Income
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Scenarios = Data + Tasks
Data categories: Spatial (1,2,3D) Multi-dimensional Tree Network Text, documents
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Visualization can do this!
User Tasks Easy stuff: (1 or few items) Min, max, average, % Exact queries, known item search Hard stuff: Patterns, trends, distributions, changes over time, outliers, exceptions, relationships, correlations, multi-way, combined min/max, tradeoffs, clusters, groups, comparisons, context, anomalies, data errors, Paths, … Excel can do this Visualization can do this!
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DataMaps demo
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Spotfire Mapping data to graphics (x, y, size, color, shape…)
Multiple views: brushing and linking Dynamic Queries Details window Cars data
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TableLens (Eureka by Inxight)
Visual encoding of cell values Details expand within context (fisheye) Sorting Cars data
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Focus+Context Hyperbolic Tree (star tree)
Radial; shrink with distance to center Drag to navigate Scalability? Xerox PARC, Inxight
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Treemaps on the Web Map of the Market: People Map: Coffee Map:
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“Squarified” TreeMap
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SequoiaView HW #3
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Context is Important!
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Information Visualization Mantra
Overview first, zoom and filter, then details on demand
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What is Information Visualization?
The use of computer-supported, interactive, visual representations of abstract data to amplify cognition
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My definition: Show me the data!
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Keys points Power of visual system scenario = data + tasks
Mapping data to graphics & visual properties Interaction for what doesn’t fit in visual rep. Examples: multi-dimensional, tree Mantra: Overview first Choice of representation matters
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What’s the Big Deal?
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Presentation is everything!
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