Visual Analytics - An Interaction of Sight and Thought - JMP

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Coordinated views expand what we can connect and compare. To understand something, we often have to examine it from many angles and focus on many parts. Too much business data analysis involves looking only for one thing in particular. Is revenue going up? The answer is “yes” or “no” — end of story. Perhaps, however, you ought to look at revenues, expenses, profits, marketing campaigns, seasonality, composition of the sales force, new product introductions, and the competition to understand the richer story that your data has to tell.
Who is qualified to analyze data? Data Analysis Knowledge ? You are the key that opens the door for good data to result in good decisions. Software, no matter how sophisticated, is useless if you don’t possess the fundamental skills of data analysis. Data analysis is for one purpose: to enable good decisions. Do you need to be an Einstein to make sense of your business data? For most business data analysis, the answer is “No”, but when statistical sophistication required, you need a statistically sophisticated tool.
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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
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Data analysts JMP are now sexy. Dat
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To do this we need the right skills
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Two of the right skills • Statist
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What is visual thinking? Temple Gra
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We need greater balance. Modes of r
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Leonardo da Vinci For some four hun
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Complex problems require visual thi
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Tools extend our reach when they’
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Can computers replace us? Our brain
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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 60 and 61: Data analysis requires rapid intera
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 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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