Visual Analytics - An Interaction of Sight and Thought - JMP

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Data analysis requires rapid interaction. ?Think See Modify Direct dynamic interaction with the properly visualized data allows us to see discover meaningful patterns, trends, and exceptions in the display and to interact with it directly to filter out what we don’t need, drill into details, combine multiple variables for comparison, etc., in ways that promote a smooth flow between seeing something, thinking about it, and manipulating it, with no distracting lags in between. This is what I call “visual analysis at the speed of thought.” Great analysts, like great scientists, great artists, great people of all sorts, accept the call to serve as a voice for data. Important stories can be found in data. We can learn to discern the meanings that live in information and to unravel the stories that are woven through it. What I do isn’t just work; it is my mission. I work hard to learn the world’s stories and to tell them truthfully. I believe that there is no higher calling. I fight against those who try to hide or alter the truth. I believe that the truth really can set us free.
“Compared to what?” Edward Tufte once said that the essential question of data sensemaking is “Compared to what?” This involves comparing the magnitudes of values, but not just one to another. We must compare many values. To do so, we must see how they relate to one another to form patterns. We not only compare the magnitudes of values; we also compare patterns formed by sets of values. We look for how they are similar and we look for how they are different, especially differences that appear to be dramatic departures from the norm. When we spot these visual characteristics in the data, we then interact with the data to find out why these things have happened.
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Visual Analytics An Interaction of
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Hurray data! Hurray technology! We
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Upon this gifted age, in its dark h
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We must tap into that steady stream
Page 10 and 11: Data analysts JMP are now sexy. Dat
Page 12 and 13: To do this we need the right skills
Page 14 and 15: Two of the right skills • Statist
Page 16 and 17: What is visual thinking? Temple Gra
Page 18 and 19: We need greater balance. Modes of r
Page 20 and 21: Leonardo da Vinci For some four hun
Page 22 and 23: Complex problems require visual thi
Page 24 and 25: Tools extend our reach when they’
Page 26 and 27: Can computers replace us? Our brain
Page 28 and 29: Visualization empowers statistics.
Page 30 and 31: “I see!” There is an intimate c
Page 32 and 33: Vision is our dominant sense. 30% 7
Page 34 and 35: Trends, patterns, and exceptions co
Page 36 and 37: This visualization fails to do this
Page 38 and 39: The right balance 38 Information vi
Page 40 and 41: Many visualization tools feature de
Page 42 and 43: Bling your graph. Many software ven
Page 44 and 45: 3-D graphs are rarely useful. One o
Page 46 and 47: Even when there’s a 3 rd variable
Page 48 and 49: We don’t want to confuse people w
Page 50 and 51: Good visualizations and good visual
Page 52 and 53: This arrangement is even better yet
Page 54 and 55: Visual perception works according t
Page 56 and 57: Visual perception is not just camer
Page 58 and 59: Two essential activities • Multi-
Page 62 and 63: Key interactions of visual analysis
Page 64 and 65: Shneiderman’s Mantra “Overview
Page 66 and 67: Overview first, zoom and filter, th
Page 72 and 73: Attention is limited. Ever saw a ma
Page 74 and 75: Capacity = 3 or 4 chunks at a time
Page 76 and 77: Good analysis tools augment memory
Page 78 and 79: More dimensions through multiple vi
Page 80 and 81: Coordinated views expand what we ca
Page 82 and 83: Analytical challenges demand statis
Page 84 and 85: Predictions rely on statistical mod
Page 86 and 87: Finding and understanding the stori
Page 88 and 89: Wisdom Knowledge Information Inform
Page 90 and 91: O perpetual revolution of configure
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Visual Analytics - An Interaction of Sight and Thought - JMP

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