information visualization for knowledge discovery
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INFORMATION VISUALIZATION
@kristwongz
For knowledge discovery
Krist wongsuphasawat
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
X Y
10.0 8.04
8.0 6.95
13.0 7.58
9.0 8.81
11.0 8.33
14.0 9.96
6.0 7.24
4.0 4.26
12.0 10.84
7.0 4.82
5.0 5.68
X Y
10.0 9.14
8.0 8.14
13.0 8.74
9.0 8.77
11.0 9.26
14.0 8.10
6.0 6.13
4.0 3.10
12.0 9.13
7.0 7.26
5.0 4.74
X Y
10.0 7.46
8.0 6.77
13.0 12.74
9.0 7.11
11.0 7.81
14.0 8.84
6.0 6.08
4.0 5.39
12.0 8.15
7.0 6.42
5.0 5.73
X Y
8.0 6.58
8.0 5.76
8.0 7.71
8.0 8.84
8.0 8.47
8.0 7.04
8.0 5.25
19.0 12.50
8.0 5.56
8.0 7.91
8.0 6.89
#1 #2 #3 #4
Anscombe�s quartet
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
#1 #2 #3 #4
Identical statistics
Anscombe�s quartet
Anscombe�s quartet
#1 #2 #3 #4
0!
2!
4!
6!
8!
10!
12!
0! 5! 10! 15!0!1!2!3!4!5!6!7!8!9!
10!
0! 5! 10! 15!0!
2!
4!
6!
8!
10!
12!
14!
0! 5! 10! 15!0!
2!
4!
6!
8!
10!
12!
14!
0! 10! 20!
But very different
map of napoleon’s march minard, 1812
• geography • time • temperature
• course • direction • 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
Map of the market Stock market
Stock A
size = market cap
Stock B
color = price change
size = market cap
Stock A Stock B
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/
http://newsmap.jp/
newsmap
http://www.derlien.com/
Disk inventory x
relationships Social network
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
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!How people are connected on facebook by country
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
LIFE event!
event!event!
event!event!
event!event!event!
event!
event!
event!
event!
event!
event! event!event!
( 7:00 am, Wake up )
LIFE event!
event!event!
event!event!
event!event!event!
event!
event!
event!
event!
event!
event! event!event!
Time Event type!
LIFE event!
event!event!
event!event!
event!event!event!
event!
event!
event!
event!
event!
event! event!event!
“Event Sequence”
( 7:00 am, Wake up ) ( 7:10 am, Shower ) ( 7:30 am, Breakfast )
Electronic health records
( 8:50 am, ER) ( 9:15 am, ICU ) ( 8:40 am, Arrival )
Electronic health records
Event Sequences
and more…
Medical Transportation
Education
Web logs
Sports
Logistics
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
Patient transfers
Save more lives!
Emergency Department Pa:ent!ID:!45851733 !!
12/02/2008!14:26 !Arrival!12/02/2008!14:26 !Emergency!12/02/2008!22:44 !ICU!12/05/2008!05:07 !Floor!12/08/2008!10:02 !Floor!12/14/2008!06:19 !Discharge!!
Pa:ent!ID:!45851732 !!12/02/2008!14:26 !Arrival!12/02/2008!14:26 !Emergency!12/02/2008!22:44 !ICU!12/05/2008!05:07 !Floor!12/08/2008!10:02 !Floor!12/14/2008!06:19 !Discharge!!
Pa:ent!ID:!45851731 !!12/02/2008!14:26 !Arrival!12/02/2008!14:26 !Emergency!12/02/2008!22:44 !ICU!12/05/2008!05:07 !Floor!12/08/2008!10:02 !Floor!12/14/2008!06:19 !Discharge!!
6,000+ 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
Data types classified by
1D: Linear
2D: Map
3D: Molecules, Biology Multi dimensional (4+ D)
Temporal
Tree
Network
INFORMATION VISUALIZATION
DATA ANALYSIS PRESENTATION Detect pattern, trend, outliers! Communicate!
Benefits of
DATA ANALYSIS
presentation
presentation
Drawbacks: misleading
Drawbacks: misleading (2)
INFORMATION VISUALIZATION
Visual representation User interactions +
DATA ANALYSIS Detect pattern, trend, outliers!
PRESENTATION Communicate!
@kristwongz Krist wongsuphasawat
DATA
krist.wongz@gmail.com http://kristw.yellowpigz.com
http://services.alphaworks.ibm.com/manyeyes/app
Many eyes
INFORMATION VISUALIZATION
Visual representation User interactions +
DATA ANALYSIS Detect pattern, trend, outliers!
PRESENTATION Communicate!
@kristwongz Krist wongsuphasawat
DATA
krist.wongz@gmail.com http://kristw.yellowpigz.com
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