Common Mistakes In Data Visualization
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Common Mistakes In Data Visualization
- 1. Common mistakes in data visualization Amedee Van Gasse BarCampGhent3 19 December, 2009
- 4. Desktop & Mail Security (Antivirus, Spam,...)
- 5. Geek stuff:
- 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
- 11. The Fast-Food Information Age
- 13. Twitter: Infograph of the day ( @bnox )
- 15. Function
- 16. Form
- 17. Integrity
- 19. Trust No One
- 20. Lies, Damned Lies, and Statistics
- 21. Let's just face it:
- 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
- 28. Gradients
- 29. Grey on grey
- 30. Original chart has animation...
- 32. Fear, Uncertainty and Doubt
- 33. Convince employees of needed budget cuts
- 34. Or... just blind faith in Excel???
- 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”...
- 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 %
- 43. Starts at 0
- 44. No 3D versus 2008: - 1,3 % versus OB : + 0,6 %
- 46. What if executed > planned? -> invisible!
- 47. Better chart: bars (executed) + lines (planned)
- 49. 3D
- 50. Gradients
- 51. Could have been combined with previous chart
- 52. Combining the two previous charts
- 54. Hard to compare series
- 57. You can tell your story with one chart
- 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
- 66. Ugly
- 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?
- 72. Hard to read
- 73. Needs a lot of tweaking
- 74. Ugly even with perfect data
- 77. Can you see S3 (yellow)?
- 78. Use a 2D line chart!
- 80. Axes, legend & title
- 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
- 88. Non-data just visible enough
- 90. Leave special effects to Hollywood!!!
- 91. And the Oscar goes to...
- 93. Line charts or XY Scatter charts?
- 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
- 99. X and Y axes ar not linear
- 100. A (bad) joke from http://graphjam.com
- 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
- 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/
Notas do Editor
- 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