data visualization

56
Data Visualization The Ideas of Edward Tufte

Upload: david-giard

Post on 26-Jan-2015

8.595 views

Category:

Technology


2 download

DESCRIPTION

 

TRANSCRIPT

Page 1: Data visualization

Data Visualization

The Ideas of Edward Tufte

Page 2: Data visualization

I II III IV

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 5.59

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 5.72 8.0 6.89

Page 3: Data visualization

0 10 200

5

10I

0 10 200

5

10II

0 10 200

5

10

III

0 10 200

5

10

IV

Page 4: Data visualization

Graphical Excellence

Page 5: Data visualization
Page 6: Data visualization
Page 7: Data visualization
Page 8: Data visualization
Page 9: Data visualization

Graphical Integrity

Page 10: Data visualization

$(11,014)$0 $(11,014)

Page 11: Data visualization

Lie

Page 12: Data visualization

Lie Factor

Page 13: Data visualization

Lie

Data Increase = 53%Graphical Increase = 783%

Lie Factor=14.8

Page 14: Data visualization

Truth

1978 1979 1980 1981 1982 1983 1984 19850

5

10

15

20

25

30

Required Fuel Economy Standards:New cars built from 1978 to 1985

Page 15: Data visualization

Data Change = 188%

Graphical Change = 527%Lie Factor=2.8

Page 16: Data visualization

Data Change = 554%

Graphical Change = 27,000%Lie Factor=48.8

Page 17: Data visualization
Page 18: Data visualization
Page 19: Data visualization

Context

Page 20: Data visualization

1955 1956275

300

325 Connecticut Traffic Deaths,Before (1955) and After(1956)

Stricter Enforcement by the PoliceAgainst Cars Exceeding Speed Limit

Before stricterenforcement

After stricterenforcement

Page 21: Data visualization
Page 22: Data visualization

1951 1952 1953 1954 1955 1956 1957 1958 1959225

250

275

300

325

Connecticut Traffic Deaths1951-1959

Page 23: Data visualization

1951 1952 1953 1954 1955 1956 1957 1958 19596

8

10

12

14

16 Traffic Deaths per 100,000Persons in Connecticut, Massachusetts,

Rhode Island, and New York1951-1959

NY

MA

CTRI

Page 24: Data visualization

Principles of Graphical Integrity

• Data Representations proportional to Data• Real dollars, instead of deflated dollars• #Dimensions in graph = #Dimensions in data• Provide context

Page 25: Data visualization

Data-Ink

Page 26: Data visualization

Data-Ink Ratio

=

Page 27: Data visualization

35.9

Page 28: Data visualization

35.9

Page 29: Data visualization

0 1 2 3 4 5 60

20

40

60

80

100

120

140

160

Page 30: Data visualization

0 1 2 3 4 5 60

20

40

60

80

100

120

140

160

Page 31: Data visualization

0 1 2 3 4 5 60

20

40

60

80

100

120

140

160

Page 32: Data visualization

0 2 4 60

40

80

120

160

Page 33: Data visualization
Page 34: Data visualization
Page 35: Data visualization
Page 36: Data visualization
Page 37: Data visualization
Page 38: Data visualization

Principles

• Above all else, show the data• Maximize the data-ink ratio, within reason• Erase non-data-ink• Erase redundant data-ink• Revise and edit

Page 39: Data visualization

Chart JunkVibrations, Grids, and Ducks

Page 40: Data visualization

Vibrations

Page 41: Data visualization
Page 42: Data visualization
Page 43: Data visualization
Page 44: Data visualization
Page 45: Data visualization
Page 46: Data visualization

Worst. Graph. Ever.

Page 47: Data visualization

Multifunctioning Graphical Elements

Page 48: Data visualization
Page 49: Data visualization
Page 50: Data visualization
Page 51: Data visualization

Takeaways

• Maintain Graphical Integrity• Minimize Data-Ink Ratio, within reason• Avoid Chartjunk• Use Multifunctioning Graphical Elements, if

possible• Keep Labels with data

Page 52: Data visualization

Dr. Edward Tufte

Page 53: Data visualization

David GiardMCTS, MCSD, MCSE, MCDBA

blog: DavidGiard.comtv: TechnologyAndFriends.come-mail: [email protected]

Page 54: Data visualization

David’s Speaking ScheduleDate Event Location Topic(s)

May 14 Chicago Code Camp

Grayslake, IL • How I Learned to Stop Worrying and Love jQuery

May 17 Cloud Platform Briefing

Southfield, MI • Windows Azure Case Study

May 17 Northwest Ohio .Net UG

Toledo, OH • Real World Workflow Foundation

Jun 3-4 Codestock Knoxville, TN • Intro to Object-Oriented Programming

• Exploring Visual Studio Database Tools

Jun 26 W Michigan .Net UG

Grand Rapids, MI • Real World Workflow Foundation

Jun 30-Jul 1

MADExpo Hampton, VA • How I Learned to Stop Worrying and Love jQuery

Page 55: Data visualization
Page 56: Data visualization