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How not to lie with visualization

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How (not) to lie with visualization. cs5984: Information ... Red spades, black hearts. Poor user performance even after being told. Orientation. Who are they? ... – PowerPoint PPT presentation

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Title: How not to lie with visualization


1
How (not) to lie with visualization
  • cs5984 Information Visualization
  • Chris North

2
Final Quiz
  • 7 information types
  • 1d
  • 2d
  • 3d
  • Multi-d
  • Trees
  • Graphs
  • Doc collections

3
Where are we?
  • Information Types
  • Multi-D
  • 1D
  • 2D
  • Hierarchies/Trees
  • Networks/Graphs
  • Document collections
  • 3D
  • Topics
  • Design Principles
  • Empirical Evaluation
  • Java Development
  • Visual Overviews
  • Multiple Views
  • Peripheral Views
  • Workspaces
  • Debates
  • Vis. Lies

4
How (not) to lie with visualization
  • Show and tell
  • USA Today graphs

5
Stock Market Crash?!
Market
9000 8875 8750 8625 8500
1995 1996 1997 1998 1999 2000
6
Show entire scale
Market
10,000 7500 5000 2500 0
1995 1996 1997 1998 1999 2000
7
Show in context
Market
10,000 7500 5000 2500 0
1950 1960 1970 1980 1990 2000
8
Another example
9
Percentages 0 100
Employment rate 100 unemployment rate
10
Tuftes Rule
  • Visual attribute value should be directly
    proportional to data attribute value
  • Lie factor (visual effect) / (data effect)
  • truth 1.0

11
Company financial status
12
The hidden 0-points
  • Lie factor ?

13
Changing Scale
0.5?
13
14
ChangingScale
15
with linear time scale
16
Down Bad ?
17
Make it explicit
? Better
Other examples user performance, questionnaire
results
18
Logarithmic data ? log scale
19
Size Coding
20
Size Coding width or area?

?
21
Size Coding
22
Width or Area
  • Width valueHeight valueArea value2
  • or
  • Area valuewidthheight valuewidth height
    value 0.5

Problem Using 2 dimensions to represent 1
dimension.
23
Volume coding?
Height? Diameter? Surface area? Volume?
73 79 data difference 5.5x 73 79 volume
difference 270x
24
Problem with area encoding
1 2 3 4 5 6 7
Width Area Volume
25
Width height encoding
1 2 3 4 5 6 7
Width Width Height
26
Solution just use width (or height)
27
A Propaganda Classic
28
Hmmm
  • Low rank good!
  • Different time scales
  • Not really tuition
  • Artistic mood

29
How not to lie
  • Show entire scale
  • Show data in context
  • Consistent, linear scale
  • Log scale for log data
  • Up vs. down indicate direction of improvement
  • Avoid size coding
  • Use width OR height
  • Dont use both for same data attribute
  • Avoid area coding

30
Visualization Communication
  • Communication is person dependent
  • People have a lot of baggage

31
Expectations
Paris in the the spring
Lifeis aa highway
Nowis thethe time
32
Re-training
  • Red spades, black hearts
  • Poor user performance even after being told

33
Orientation
  • Who are they?

34
Orientation
35
Homework 3 Results
  • Hinite bites.
  • Too much hypertexty stuff
  • Not enough zooming, infovisy stuff
  • Keep trying to break out of the box!

36
Projects
  • Visualization in the periphery - evaluation
  • David, Christa, Ali, Jon
  • Visualizing Multi-D functions
  • Reenal, Priya, Mrinmayee
  • Visualization of data structures evaluation
  • Kunal, Vikrant, Anuj
  • Snap-together visualization
  • Rohit, Varun, Jeevak, Atul
  • Visual Break-down analysis with Financial data
  • Ganesh, Anusha, Muthukumar, Sandeep
  • Human-eye view
  • Alex, Qiang, Ming, Vishal, Ahmed
  • Bioinformatics
  • Quoc, Mudita, Dhananjay
  • Online chat/video-conference visualization
    (virtual school)
  • Mahesh, Ben, Samal, Kuljeet, Harsha, Parool
  • Digital libraries
  • Jun, Supriya, Abhishek, Anil
  • Maps and in-vehicle interfaces

Dec 4
Dec 6
Dec 11
37
Your Last InfoVis Assignment!
  • Dec 18 Project Final Paper due
  • Dec 7 ACM CHI short papers due
  • Other destinations
  • March? IEEE InfoVis papers due
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