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Information Visualization for Knowledge Discovery

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Krist Wongsuphasawat
Krist Wongsuphasawat

Talk at Chulalongkorn Business School (CBS), Bangkok, Thailand Sep 18, 2012

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INFORMATION VISUALIZATION For knowledge discovery Krist wongsuphasawat @kristwongz Computer Engineering, Chulalongkorn University (Intania87, CP30) Dept. of Computer Science & Human-Computer Interaction Lab, Univ. of Maryland Data Visualization Scientist, Twitter
data
INFORMATION VISUALIZATION INFO. VIS. Data visualization visualization
A picture is worth a thousand words.
INFORMATION VISUALIZATION Data picture!
INFORMATION VISUALIZATION INFO. VIS. “ Using visual representations and interaction techniques, which take advantage of the human eye’s broad bandwidth pathway into the mind, to allow users to see, explore, and understand large amounts of information at once.” [Wikipedia]
INFORMATION VISUALIZATION Visual representation
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
Anscombe s quartet #1 #2 #3 #4 Property Value Mean of X 11.0 Variance of X 10.0 Mean of Y 7.5 Variance of Y 3.75 Correlation between X and Y 0.816 Linear regression y = 3.0 +0.5x Identical statistics
Anscombe s quartet #1 #2 #3 #4 12! 10! 14! 14! 9! 10! 12! 12! 8! 7! 10! 10! 8! 6! 8! 8! 6! 5! 4! 6! 6! 4! 3! 4! 4! 2! 2! 2! 2! 1! 0! 0! 0! 0! 0! 5! 10! 15! 0! 5! 10! 15! 0! 5! 10! 15! 0! 10! 20! But very different
map of napoleon’s march minard, 1812 •  geography •  course •  time •  direction •  temperature •  quantity of troops
London Cholera Outbreak john Snow, 1854
London Cholera Outbreak john Snow, 1854
crayons
toys boys girls
INFORMATION VISUALIZATION Visual representation + User interactions click, drag, zoom, select, change color, etc.! !
INFORMATION VISUALIZATION =Mantra= Overview first Zoom and filter Details on demand
Stock market Map of the market
size = market cap Stock A Stock B
size = market cap Stock A Stock B color = price change
Map of the Market
Market!falls!steeply!Feb!27,!2007,!! with!one!excep:on! Market falls 311 points July 26, 2007, with a few exceptions
Market falls 311 points July 26, 2007, with a few exceptions
Market mixed, October 22, 2007
http://www.smartmoney.com/map-of-the-market/
http://www.smartmoney.com/map-of-the-market/
newsmap http://newsmap.jp/
Disk inventory x http://www.derlien.com/
Social network relationships http://www.cs.umd.edu/hcil/socialaction
Person A Person B
Has a relationship Person A Person B
Strong relationship Person A Person B
Strong relationship Person A Person B
Person A Person B
Video demo SocialAction
How people are connected on facebook by country h;p://www.facebookstories.com/stories/1574/#color=con:nent&story=1&country=US!
How people are connected on facebook by country h;p://www.facebookstories.com/stories/1574/#color=con:nent&story=1&country=US!
Geographic New york taxi
h;p://www.ny:mes.com/interac:ve/2010/04/02/nyregion/taxiKmap.html!
Interactive charts Baby name voyager http://www.babynamewizard.com/voyager
temporal Data time time time
event! event! event! event! event! event! event! event! LIFE event! event! event! event! event! event! event! event!
Time Event type! ( 7:00 am, Wake up ) event! event! event! event! event! event! event! event! LIFE event! event! event! event! event! event! event! event!
event! event! event! event! event! event! event! event! LIFE event! event! event! event! event! event! event! event! “Event Sequence”
Electronic health records ( 7:00 am, Wake up ) ( 7:10 am, Shower ) ( 7:30 am, Breakfast )
Electronic health records ( 8:40 am, Arrival ) ( 8:50 am, ER) ( 9:15 am, ICU )
Event Sequences Medical Transportation Sports Education Web logs Logistics and more…
Patient transfers ARRIVAL Arrive the hospital EMERGENCY Emergency room ICU Intensive Care Unit FLOOR Normal room EXIT-ALIVE Leave the hospital alive EXIT-DEAD Leave the hospital dead
Save more lives! Pa:ent!ID:!45851733 !! Pa:ent!ID:!45851732 !! 12/02/2008!14:26 !Arrival! Pa:ent!ID:!45851731 !! 12/02/2008!14:26 !Emergency! 12/02/2008!14:26 !Arrival! Emergency Department 6,000+ 12/02/2008!22:44 !ICU! 12/02/2008!14:26 !Emergency! 12/02/2008!14:26 !Arrival! 12/05/2008!05:07 !Floor! 12/02/2008!22:44 !ICU! 12/02/2008!14:26 !Emergency! 12/08/2008!10:02 !Floor! 12/05/2008!05:07 !Floor! 12/02/2008!22:44 !ICU! 12/14/2008!06:19 !Discharge! 12/08/2008!10:02 !Floor! 12/05/2008!05:07 !Floor! ! 12/14/2008!06:19 !Discharge! 12/08/2008!10:02 !Floor! ! 12/14/2008!06:19 !Discharge! patients per month !
What happened to the patients? Arrival ? ICU ? ?
Video demo Creating LifeFlow
LifeFlow
Video demo Data Analysis with LifeFlow
INFORMATION VISUALIZATION Visual representation + User interactions click, drag, zoom, select, change color, etc.! !
INFORMATION VISUALIZATION classified by Network Data types 1D: Linear Tree 2D: Map Temporal 3D: Molecules, Biology Multi dimensional (4+ D)
Benefits of INFORMATION VISUALIZATION DATA ANALYSIS PRESENTATION Detect pattern, trend, outliers! Communicate!
DATA ANALYSIS
presentation
presentation
Drawbacks: misleading
Drawbacks: misleading (2)
DATA INFORMATION VISUALIZATION Visual representation + User interactions DATA ANALYSIS PRESENTATION Detect pattern, trend, outliers! Communicate! Krist wongsuphasawat krist.wongz@gmail.com @kristwongz http://kristw.yellowpigz.com
Many eyes http://services.alphaworks.ibm.com/manyeyes/app
DATA INFORMATION VISUALIZATION Visual representation + User interactions DATA ANALYSIS PRESENTATION Detect pattern, trend, outliers! Communicate! Krist wongsuphasawat krist.wongz@gmail.com @kristwongz http://kristw.yellowpigz.com

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