info vis 4-2012-part1
DESCRIPTION
Information Visualization for Knowledge Discovery. Introduction, temporal data, hierarchical data, treemaps.TRANSCRIPT
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Information Visualization forKnowledge Discovery
Ben Shneiderman [email protected] @benbendc
Founding Director (1983-2000), Human-Computer Interaction LabProfessor, Department of Computer Science
Member, Institute for Advanced Computer Studies
University of MarylandCollege Park, MD 20742
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Interdisciplinary research community - Computer Science & Info Studies - Psych, Socio, Poli Sci & MITH (www.cs.umd.edu/hcil)
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Design Issues
• Input devices & strategies• Keyboards, pointing devices, voice
• Direct manipulation
• Menus, forms, commands
• Output devices & formats• Screens, windows, color, sound
• Text, tables, graphics
• Instructions, messages, help
• Collaboration & Social Media
• Help, tutorials, training
• Search www.awl.com/DTUI
Fifth Edition: 2010
• Visualization
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Information Visualization
• Visual bandwidth is enormous• Human perceptual skills are remarkable
• Trend, cluster, gap, outlier...
• Color, size, shape, proximity...
• Three challenges• Meaningful visual displays of massive data
• Interaction: widgets & window coordination
• Process models for discovery
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Business takes action
• General Dynamics buys MayaViz
• Agilent buys GeneSpring
• Google buys Gapminder
• Oracle buys Hyperion
• Microsoft buys Proclarity
• InfoBuilders buys Advizor Solutions
• SAP buys (Business Objects buys Xcelsius & Inxight & Crystal Reports )
• IBM buys (Cognos buys Celequest) & ILOG
• TIBCO buys Spotfire
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Spotfire: Retinol’s role in embryos & vision
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http://registration.spotfire.com/eval/default_edu.asp
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10M - 100M pixels
Large displays for single or multiple users
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100M-pixels & more
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1M-pixels & less
Small mobile devices
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Information Visualization: Mantra
• Overview, zoom & filter, details-on-demand
• Overview, zoom & filter, details-on-demand
• Overview, zoom & filter, details-on-demand
• Overview, zoom & filter, details-on-demand
• Overview, zoom & filter, details-on-demand
• Overview, zoom & filter, details-on-demand
• Overview, zoom & filter, details-on-demand
• Overview, zoom & filter, details-on-demand
• Overview, zoom & filter, details-on-demand
• Overview, zoom & filter, details-on-demand
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Information Visualization: Data Types
• 1-D Linear Document Lens, SeeSoft, Info Mural
• 2-D Map GIS, ArcView, PageMaker, Medical imagery
• 3-D World CAD, Medical, Molecules, Architecture
• Multi-Var Spotfire, Tableau, GGobi, TableLens, ParCoords,
• Temporal LifeLines, TimeSearcher, Palantir, DataMontage
• Tree Cone/Cam/Hyperbolic, SpaceTree, Treemap
• Network Pajek, JUNG, UCINet, SocialAction, NodeXL
I
nfoV
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infosthetics.com flowingdata.com infovis.org www.infovis.net/index.php?lang=2
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Anscombe’s Quartet
1 2 3 4
x y x y x y x y
10.0 8.04 10.0 9.14 10.0 7.46 8.0 6.58
8.0 6.95 8.0 8.14 8.0 6.77 8.0 5.76
13.0 7.58 13.0 8.74 13.0 12.74 8.0 7.71
9.0 8.81 9.0 8.77 9.0 7.11 8.0 8.84
11.0 8.33 11.0 9.26 11.0 7.81 8.0 8.47
14.0 9.96 14.0 8.10 14.0 8.84 8.0 7.04
6.0 7.24 6.0 6.13 6.0 6.08 8.0 5.25
4.0 4.26 4.0 3.10 4.0 5.39 19.0 12.50
12.0 10.84 12.0 9.13 12.0 8.15 8.0 5.56
7.0 4.82 7.0 7.26 7.0 6.42 8.0 7.91
5.0 5.68 5.0 4.74 5.0 5.73 8.0 6.89
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Anscombe’s Quartet
1 2 3 4
x y x y x y x y
10.0 8.04 10.0 9.14 10.0 7.46 8.0 6.58
8.0 6.95 8.0 8.14 8.0 6.77 8.0 5.76
13.0 7.58 13.0 8.74 13.0 12.74 8.0 7.71
9.0 8.81 9.0 8.77 9.0 7.11 8.0 8.84
11.0 8.33 11.0 9.26 11.0 7.81 8.0 8.47
14.0 9.96 14.0 8.10 14.0 8.84 8.0 7.04
6.0 7.24 6.0 6.13 6.0 6.08 8.0 5.25
4.0 4.26 4.0 3.10 4.0 5.39 19.0 12.50
12.0 10.84 12.0 9.13 12.0 8.15 8.0 5.56
7.0 4.82 7.0 7.26 7.0 6.42 8.0 7.91
5.0 5.68 5.0 4.74 5.0 5.73 8.0 6.89
Property Value
Mean of x 9.0
Variance of x 11.0
Mean of y 7.5
Variance of y 4.12
Correlation 0.816
Linear regression y = 3 + 0.5x
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Anscombe’s Quartet
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Multi-V: Hierarchical Clustering Explorer
Jinwook Seowww.cs.umd.edu/hcil/hce/
“HCE enabled us to find important clusters that we didn’t know about.”
- a user
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Temporal Data: TimeSearcher 1.3
• Time series• Stocks
• Weather
• Genes
• User-specified patterns
• Rapid search
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Temporal Data: TimeSearcher 2.0
• Long Time series (>10,000 time points)
• Multiple variables
• Controlled precision in match (Linear, offset, noise, amplitude)
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LifeLines: Patient Histories
www.cs.umd.edu/hcil/lifelines
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LifeLines2: Contrast+Creatine
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LifeLines2: Align-Rank-Filter & Summarize
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LifeFlow: Aggregation Strategy
Temporal Categorical Data (4 records)
LifeLines2 format
Tree of Event Sequences
LifeFlow Aggregation
www.cs.umd.edu/hcil/lifeflow
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LifeFlow: Interface with User Controls
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Treemap: Gene Ontology
www.cs.umd.edu/hcil/treemap/
+ Space filling
+ Space limited
+ Color coding
+ Size coding - Requires learning
(Shneiderman, ACM Trans. on Graphics, 1992 & 2003)
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www.smartmoney.com/marketmap
Treemap: Smartmoney MarketMap
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Market falls steeply Feb 27, 2007, with one exception
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Market falls steeply Sept 22, 2011, some exceptions
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Market mixed, February 8, 2008 Energy & Technology up, Financial & Health Care down
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Market rises, September 1, 2010, Gold contrarians
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Market rises, March 21, 2011, Sprint declines
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newsmap.jp
Treemap: Newsmap (Marcos Weskamp)
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www.hivegroup.com
Treemap: Supply Chain
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www.spotfire.com
Treemap: Spotfire Bond Portfolio Analysis
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Treemap: NY Times – Car&Truck Sales
www.cs.umd.edu/hcil/treemap/
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Treemap (Voronoi): NY Times - Inflation
www.nytimes.com/interactive/2008/05/03/business/20080403_SPENDING_GRAPHIC.html
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