The Value of Visualization by @columnfive

Post on 17-Aug-2014

50,299 views 1 download

Tags:

description

Created for presentation at the Richmond Federal Reserve's "Unleashing the Power of Local Data" Conference http://www.richmondfed.org/conferences_and_events/community_development/2011/unleashing_data_20111013.cfm Conference Description: Join the Federal Reserve Bank of Richmond for a one-day conference that showcases the best uses of data in local decision-making. Participants will learn from case studies that exhibit communities' innovative use of data to address local problems, and they will engage in hands-on sessions using their own laptops to better understand how to apply data to their communities. To address the growing use of informational graphics to communicate data, the lunch program will feature Column Five Media, Inc., a company that creates compelling graphics for clients such as The Atlantic, Newsweek and Good Magazine. This dynamic conference will demonstrate the power of data to inform decision-making and effect policy.

transcript

0 2 5 81 4 73 6 9

VALUE

VISUALIZATION

THE

OF

2

WHY VISUALIZE DATA?

MAKING A GOOD INFOGRAPHIC

C O N T E N T

SHARING YOUR MESSAGE

3

EDITORIAL

4

5

6

7

8

9

10

11

12

HUMOR

13

14

15

16

17

18

PROPRIETARY DATA

19

20

21

NEWS

22

23

24

PROCESS

25

26

27

DATA VISUALIZATION

28

29

30

31

32

WHY VISUALIZE DATA?

1

33

“...THE HUMAN VISUAL SYSTEM IS A PATTERN SEEKER OF ENORMOUS POWER AND SUBTLETY.

THE EYE AND THE VISUAL CORTEX OF THE BRAIN FORM A MASSIVELY PARALLEL PROCESSOR THAT

PROVIDES THE HIGHEST-BANDWIDTH CHANNEL INTO HUMAN COGNITIVE CENTERS.”

COLIN WARE

In Information Visualization:

Perception For Design

34

77

7

77

7

77

77

PREATTENTIVE PROCESSING

35

FORM

ORIENTATION

PRE-ATTENTIVE ATTRIBUTES

36

FORM

LINE LENGTH

PRE-ATTENTIVE ATTRIBUTES

37

FORM

LINE WIDTH

PRE-ATTENTIVE ATTRIBUTES

38

FORM

SIZE

PRE-ATTENTIVE ATTRIBUTES

39

FORM

SHAPE

PRE-ATTENTIVE ATTRIBUTES

40

FORM

CURVATURE

PRE-ATTENTIVE ATTRIBUTES

41

FORM

ADDED MARKS

PRE-ATTENTIVE ATTRIBUTES

42

FORM

ENCLOSURE

PRE-ATTENTIVE ATTRIBUTES

43

COLOR

INTENSITY

PRE-ATTENTIVE ATTRIBUTES

44

COLOR

HUE

PRE-ATTENTIVE ATTRIBUTES

45

SPATIAL POSITION

2-D POSITION

PRE-ATTENTIVE ATTRIBUTES

46

“WHEN COMPARED TO OUR OTHER SENSES (HEARING, SMELL, TASTE, AND TOUCH),

WHICH ARE LIKE NARROW ALLEYWAYS PAVED IN COBBLESTONES, VISION IS LIKE A SUPERHIGHWAY.”

STEPHEN FEW

Tapping The Power Of Visual Perception

VISUAL LEARNING

47

VISUAL AUDIOTORYLEARNERS LEARNERSLEARNERS

KINESTHETIC OR TACTILE

FLEMING’S VAK/VARK MODEL

48

“VISUAL DISPLAYS RICH WITH DATA ARE NOT ONLY AN APPROPRIATE AND PROPER COMPLEMENT

TO HUMAN CAPABILITIES, BUT ALSO SUCH DESIGNS ARE FREQUENTLY OPTIMAL.”

EDWARD R. TUFTE

49

EASE OF DIGESTION

50

SHARE-ABILITY OF FORMAT

IMAGE VS. TEXT POST

51

MAKING A GOOD INFOGRAPHIC

3

52

“THE AIM OF THE POET IS TO INFORM OR DELIGHT, OR TO COMBINE TOGETHER, IN WHAT HE SAYS,

BOTH PLEASURE AND APPLICABILITY TO LIFE. IN INSTRUCTING, BE BRIEF IN WHAT YOU SAY

IN ORDER THAT YOUR READERS MAY GRASP IT QUICKLY AND RETAIN IT FAITHFULLY.

HORACE

The Art Of Poetry An Epistle To The Pisos

53

54

VISUALIZATIONRESEARCHIDEA

1 2 3

ELEMENTS

55

WORK IN A GROUP TO CONCEPT

IDEA

56

DATA.UN.ORG

OECD.ORG

PEWRESEARCH.ORG

NIELSEN.COM

GALLUP.COM

HARRISINTERACTIVE.COM

DATA.GOV

IRS.GOV

SBA.GOV

CENSUS.GOV

DATA SOURCES

57

LESS IS MORE WITH VISUALS

BE OBJECTIVE WITH DATA

FIND AN INTERESTING AND COMPELLING ANGLE

RESEARCH

58

LESS IS MORE WITH VISUALS

BE OBJECTIVE WITH DATA

FIND AN INTERESTING AND COMPELLING ANGLE

RESEARCH

59

LESS IS MORE WITH VISUALS

BE OBJECTIVE WITH DATA

FIND AN INTERESTING AND COMPELLING ANGLE

RESEARCH

60

“THERE IS VIRTUALLY UNLIMITED FREEDOM IN HOW WE REPRESENT DATA.

THE DIFFICULT QUESTION IS HOW BEST TO REPRESENT IT.”

WILLIAM WRIGHT

IN THE RESEARCH REPORT “INFORMATION ANIMATION APPLICATIONS IN THE CAPITAL MARKETS”

VISUALIZATION

61

160160

140 80

01208080 6060 3030 7070 4040 5050 2020 1010

SHOW DATA WITH INTEGRITY

BAD EXAMPLE GOOD EXAMPLESCALE ISSUE

62

USE THE RIGHT METHOD

63

PARTS OF A WHOLE LINEAR VS. AREA

CA AL DE

01 0602 0703 0804 0905 10 11 12

CHRONOLOGY

NY MN NC

CHOOSING GRAPH TYPE

14

36

68

128

88

64

SCALE

50100

25

0

50

0

FC GD EBA FC GD EBA

SHOW DATA WITH INTEGRITY

65

ADD CLARITY, NOT CONFUSIONGOOD DESIGN IS ENGAGING

DESIGN

66

SHARING YOUR MESSAGE

2

67

“PERHAPS MOST OF ALL, READERS WANTED TO SHARE ARTICLES THAT INSPIRED AWE,

AN EMOTION THAT THE RESEARCHERS INVESTIGATED AFTER NOTICING HOW MANY SCIENCE ARTICLES MADE THE LIST.

IN GENERAL, THEY FOUND, 20 PERCENT OF ARTICLES THAT APPEARED ON THE TIMES HOME PAGE MADE THE LIST,

BUT THE RATE ROSE TO 30 PERCENT FOR SCIENCE ARTICLES,

INCLUDING ONES WITH HEADLINES LIKE “THE PROMISE AND POWER OF RNA.”

JOHN TIERNEY

“WILL YOU BE E-MAILING THIS COLUMN? IT’S AWESOME”

68

HELP OTHER PEOPLE FIRST, DON’T DEMAND RECIPROCATION.

GENUINELY HELPING PEOPLE BUILDS GOODWILL TOWARDS YOU AND YOUR BRAND.

SOCIAL CAPITAL

INFLUENCERS

JOURNALISTS INDUSTRY THOUGHT LEADERS

ENTREPRENEURS

BLOGGERS

INTERNET CELEBRITIES

BUILDING AND NURTURING RELATIONSHIPS

69

SOCIAL NEWS CHANNELS

SOCIAL SEEDING

70

BREAKING NEWS

71

EVERGREEN CONTENT

72

QUANTITY QUALITYVERSUS

OF

SHARES

SOCIAL SEEDING

73

GO STRAIGHT TO THE SOURCE (JOURNALIST)

RESPECT JOURNALIST’S INTEGRITY

BE BRIEF

SOCIAL RE-SEEDING

DON’T PUSH

THE POWER OF SOMEONE ELSE’S VOICE

1

2

3

4

5

6

MEDIA OUTREACH

74

HARNESSING THE POWER OF DATA

75

FIND YOUR MESSAGEAND MAKE IT COMPELLING.

76

USE VISUALIZATIONTO ENGAGE YOUR AUDIENCE.

77

AN EDITORIAL APPROACH IS USEFUL,BUT DON’T LIE WITH YOUR DATA.

78

NURTURE RELATIONSHIPS WITH COMMUNITIESTHAT ARE INTERESTED IN YOUR SUBJECT MATTER.