Common Mistakes In Data Visualization

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Amedee Van Gasse

Technologie

Desktop & Mail Security (Antivirus, Spam,...)

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The power of data visualization ,[object Object]

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Common Mistakes In Data Visualization

1. Common mistakes in data visualization Amedee Van Gasse BarCampGhent3 19 December, 2009

3. MS Office/VBA specialist

4. Desktop & Mail Security (Antivirus, Spam,...)

5. Geek stuff:

6. Ubuntu tweaking

7. Drupal ( http://foutparkeerders.be - with @peterdedecker )

8. Tik vzw ( http://tik.be )

9. [email_address] http://amedee.be http://twitter.com/amedee http://be.linkedin.com/in/amedee http://facebook.com/amedee.vangasse

10.

11. The Fast-Food Information Age

12.

13. Twitter: Infograph of the day ( @bnox )

14.

15. Function

16. Form

17. Integrity

18.

19. Trust No One

20. Lies, Damned Lies, and Statistics

21. Let's just face it:

22.

23. Compare with maps: they are also (white) lies

24. Used to convice others

25. Because it looks cool

26. Because we don't know any better

27.

28. Gradients

29. Grey on grey

30. Original chart has animation...

31.

32. Fear, Uncertainty and Doubt

33. Convince employees of needed budget cuts

34. Or... just blind faith in Excel???

35.

36. Yes, there was a crisis, but...

37. We went to 1/2, not to 1/5

38. Excel bug: lowest value on Y-axis is ”magic”...

39.

40. Why start at 40.000? Why not 30.000 or 45.000?

41. 3D adds no value versus 2008: - 1,3 % versus OB : + 0,6 %

42.

43. Starts at 0

44. No 3D versus 2008: - 1,3 % versus OB : + 0,6 %

45.

46. What if executed > planned? -> invisible!

47. Better chart: bars (executed) + lines (planned)

48.

49. 3D

50. Gradients

51. Could have been combined with previous chart

52. Combining the two previous charts

53.

54. Hard to compare series

55.

56. Little information

57. You can tell your story with one chart

58.

59. 3D: same diameter?Perspective?

60.

61. Sorry, @netlash , but this one really sucks

62. Why are Greece and Germany the same size?

63. Red = good or bad?

64. Lots of comments on InformationIsBeautiful.net

65.

66. Ugly

67. Easy to understand

68. By the way, did I already tell you that I really hate pie charts?

69. The only good pie charts Pac Man Pie: @flexyflow

70. Want to see some more silly charts?

71.

72. Hard to read

73. Needs a lot of tweaking

74. Ugly even with perfect data

75.

76.

77. Can you see S3 (yellow)?

78. Use a 2D line chart!

79.

80. Axes, legend & title

81. Logarithmic scale

82.

83. Background contrasts with objects

84. Use color only when needed

85. Different color = difference of meaning in data

86. Soft colors + bright/dark for highlights

87.

88. Non-data just visible enough

89. Avoid red+green (colorblind)

90. Leave special effects to Hollywood!!!

91. And the Oscar goes to...

92.

93. Line charts or XY Scatter charts?

94. Zero-based or not?

95. Second Y axis?

96. Good title and axis labels = no legend needed

97. If your chart needs a legend, it is a bad chart

98.

99. X and Y axes ar not linear

100. A (bad) joke from http://graphjam.com

101.

102. Avoid unless you know what you are doing

103. Can't be used with 0 in data

104. Use a trick: add 0.001

105.

106. Who is your audience?

107. Prepare your data

108. Don't have blind faith in your software

109. Links http://peltiertech.com/WordPress/category/chart-busters http://chandoo.org/wp/category/visualization/ http://graphjam.com/ http://www.informationisbeautiful.net/ http://www.smashingmagazine.com/2009/09/11/ 25-useful-data-visualization-and-infographics-resources/ http://www.smashingmagazine.com/2007/08/02/ Data-visualization-modern-approaches/

Hinweis der Redaktion

Interestingness: relevant, meaningfull, new Function: easiness, usefulness, useability, fit Form: beatty, structure, appearance Integrity: truth, consistency, honesty, accuracy Interesting + function = experiment Function + form = sketch Form + integrity = eye-candy Integrity + interesting = proof of concept Not interesting = boring Not functional = useless No form = ugly No integrity = rubbish

Common Mistakes In Data Visualization

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Hinweis der Redaktion