Information Visualization for Knowledge Discovery
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Information Visualization for Knowledge Discovery

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Talk at Chulalongkorn Business School (CBS), Bangkok, Thailand

Talk at Chulalongkorn Business School (CBS), Bangkok, Thailand

Sep 18, 2012

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Information Visualization for Knowledge Discovery Information Visualization for Knowledge Discovery Presentation Transcript

  • INFORMATION VISUALIZATIONFor knowledge discoveryKrist wongsuphasawat@kristwongzComputer Engineering, Chulalongkorn University (Intania87, CP30)Dept. of Computer Science & Human-Computer Interaction Lab, Univ. of MarylandData Visualization Scientist, Twitter
  • data
  • INFORMATION VISUALIZATIONINFO. VIS.Data visualizationvisualization
  • A picture is worth a thousand words.
  • INFORMATION VISUALIZATION Data picture!
  • INFORMATION VISUALIZATIONINFO. 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 Y10.0 8.04 10.0 9.14 10.0 7.46 8.0 6.588.0 6.95 8.0 8.14 8.0 6.77 8.0 5.7613.0 7.58 13.0 8.74 13.0 12.74 8.0 7.719.0 8.81 9.0 8.77 9.0 7.11 8.0 8.8411.0 8.33 11.0 9.26 11.0 7.81 8.0 8.4714.0 9.96 14.0 8.10 14.0 8.84 8.0 7.046.0 7.24 6.0 6.13 6.0 6.08 8.0 5.254.0 4.26 4.0 3.10 4.0 5.39 19.0 12.5012.0 10.84 12.0 9.13 12.0 8.15 8.0 5.567.0 4.82 7.0 7.26 7.0 6.42 8.0 7.915.0 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 #412! 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 marchminard, 1812 •  geography •  course •  time •  direction •  temperature •  quantity of troops
  • London CholeraOutbreakjohn Snow, 1854
  • London CholeraOutbreakjohn Snow, 1854
  • crayons
  • toysboys 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 marketMap of the market
  • size = market capStock A Stock B
  • size = market capStock 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/
  • newsmaphttp://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 relationshipPerson A Person B
  • Strong relationshipPerson A Person B
  • Strong relationshipPerson A Person B
  • Person A Person B
  • Video demo SocialAction
  • How people are connected on facebook by countryh;p://www.facebookstories.com/stories/1574/#color=con:nent&story=1&country=US!
  • How people are connected on facebook by countryh;p://www.facebookstories.com/stories/1574/#color=con:nent&story=1&country=US!
  • GeographicNew 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 SequencesMedical TransportationSports EducationWeb logs Logistics and more…
  • Patient transfersARRIVAL Arrive the hospitalEMERGENCY Emergency roomICU Intensive Care UnitFLOOR Normal roomEXIT-ALIVE Leave the hospital aliveEXIT-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 demoCreating LifeFlow
  • LifeFlow
  • Video demoData Analysis with LifeFlow
  • INFORMATION VISUALIZATION Visual representation + User interactions click, drag, zoom, select, change color, etc.! !
  • INFORMATION VISUALIZATION classified by Network Data types1D: Linear Tree 2D: Map Temporal 3D: Molecules, Biology Multi dimensional (4+ D)
  • Benefits ofINFORMATION VISUALIZATIONDATA ANALYSIS PRESENTATIONDetect 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 eyeshttp://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