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Information Visualization Crash Course (AKA Information Visualization 101) Chad Stolper, Georgia Tech chadstolper@gatech.edu 1 5 th Year Computer Science PhD Student 2 John Stasko, Interactive Computing Polo Chau, Computational Science and


  1. Information Visualization Crash Course (AKA Information Visualization 101) Chad Stolper, Georgia Tech chadstolper@gatech.edu 1

  2. 5 th Year Computer Science PhD Student 2

  3. John Stasko, Interactive Computing Polo Chau, Computational Science and Engineering 3

  4. What is Infovis? Why is it Important? Human Perception Chart Basics (If Time, Some Color Theory) The Shneiderman Mantra Where to Learn More 9

  5. Questions Encouraged! 10

  6. Questions Encouraged! 11

  7. What is Information Visualization? 12

  8. Information Visualization “The use of computer-supported, interactive, visual representations of abstract data to amplify cognition.” Card, Mackinlay, and Shneiderman 1999 13

  9. Communication Exploratory Data Analysis 14

  10. Communication 15

  11. Communication Gone Wrong 16

  12. 17

  13. Space Shuttle Challenger January 28, 1986 18

  14. Morning Temperature: 31 ° F 19

  15. What happened? 20

  16. 21

  17. 22

  18. https://www.youtube.com/watch?v=6Rwcbsn19c0 23

  19. How did this happen? 24

  20. Morton Thiokol’s Presentation 25

  21. 26

  22. 27

  23. 28

  24. 29

  25. 30

  26. 31

  27. 34

  28. 35

  29. 36

  30. 37

  31. 38

  32. 39

  33. On the other hand… 40

  34. http://www.ted.com/talks/hans_rosling_shows_the_best_stats_you_ve_ever_seen.html 41

  35. Exploratory Data Analysis 42

  36. “There are three kinds of lies: lies, damned lies, and statistics.” 43

  37. Mystery Data Set 44

  38. Mystery Data Set Property Value mean( x ) 9 variance ( x ) 11 mean( y ) 7.5 variance ( y ) 4.122 correlation ( x,y ) 0.816 Linear Regression Line y = 3 + 0.5x 45

  39. 46

  40. 47

  41. 48

  42. 49

  43. 50

  44. Anscombe’s Quartet https://en.wikipedia.org/wiki/Anscombe%27s_quartet 51

  45. Anscombe’s Quartet Sanity Checking Models Outlier Detection 52

  46. Anscombe’s Quartet Sanity Checking Models Outlier Detection 53

  47. Anscombe’s Quartet Sanity Checking Models Outlier Detection 54

  48. Anscombe’s Quartet Sanity Checking Models Outlier Detection 55

  49. Human Perception 57

  50. Name the five senses. 59

  51. Sense Bandwidth (bits/sec) Sight 10,000,000 Touch 1,000,000 Hearing 100,000 Smell 100,000 Taste 1,000 http://www.britannica.com/EBchecked/topic/287907/information-theory/214958/Physiology 60

  52. A (Simple) Model of Human Visual Perception 61

  53. A (Simple) Model of Human Perception Stage 1 Stage 2 Parallel Serial detection of processing of basic object features into identification an iconic and spatial store layout 62

  54. Stage 1: Pre-Attentive Processing Rapid Parallel Automatic (Fleeting) 63

  55. Stage 2: Serial Processing Relatively Slow (Incorporates Memory) Manual 64

  56. Stage 1: Pre-Attentive Processing The eye moves every 200ms 65

  57. Stage 1: Pre-Attentive Processing The eye moves every 200ms (so this processing occurs every 200ms-250ms) 66

  58. Example 1281768756138976546984506985604982826762 9809858458224509856458945098450980943585 9091030209905959595772564675050678904567 8845789809821677654876364908560912949686 67

  59. Example 1281768756138976546984506985604982826762 9809858458224509856458945098450980943585 9091030209905959595772564675050678904567 8845789809821677654876364908560912949686 68

  60. A few more examples from Prof. Chris Healy at NC State 69

  61. Left Side Right Side 70

  62. Raise your hand if a RED DOT is present… 71

  63. 72

  64. 73

  65. Color (hue) is pre-attentively processed. 74

  66. Raise your hand if a RED DOT is present… 75

  67. 76

  68. 77

  69. Shape is pre-attentively processed. 78

  70. Determine if a RED DOT is present… 79

  71. 80

  72. 81

  73. Hue and shape together are NOT pre-attentively processed. 82

  74. Pre-Attentive Processing • length • closure • stereoscopic depth • width • hue • 3-D depth • size • lightness cues • curvature • flicker • lighting • number • direction of direction motion • terminators • binocular • intersection lustre 83

  75. Stephen Few “Now You See It” pg. 39 84

  76. Pre-Attentive à Cognitive 85

  77. Gestalt Psychology Berlin, Early 1900s 86

  78. Gestalt Psychology Goal was to understand pattern perception Gestalt (German) = “seeing the whole picture all at once” Identified 8 “Laws of Grouping” http://study.com/academy/lesson/gestalt-psychology-definition-principles-quiz.html 87

  79. Gestalt Psychology 1. Proximity 7. Good Gestalt 2. Similarity 8. Past Experience 3. Closure 4. Symmetry 5. Common Fate 6. Continuity 88

  80. How many groups are there? 89

  81. 90

  82. Proximity 91

  83. How many groups are there? 92

  84. 93

  85. Similarity 94

  86. How many shapes are there? 95

  87. 96

  88. Closure 97

  89. How many items are there? 98

  90. [ ] { } [ ] 99

  91. Symmetry [ ] { } [ ] 100

  92. How many sets are there? 101

  93. 102

  94. Common Fate 103

  95. How many objects are there? 104

  96. 105

  97. Continuity 106

  98. How many objects are there? 107

  99. 108

  100. Good Gestalt 109

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