Visual Analytics - An Interaction of Sight and Thought - JMP

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Hurray data! Hurray technology! We celebrate technology. We live for the latest gadgets.
But the abundance of data has left people overwhelmed and frustrated. You can spend millions of dollars to build the most robust and pristine data warehouse in the world, running on the most powerful hardware, and accessed by state-of-the-art business intelligence software, but if the people who work with the data don’t know how to make sense of it and then clearly present what they find to decision makers, your investment is wasted.
Page 2 and 3: Visual Analytics An Interaction of
Page 6 and 7: Upon this gifted age, in its dark h
Page 8 and 9: 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-
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Data analysis requires rapid intera
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Key interactions of visual analysis
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Shneiderman’s Mantra “Overview
Page 66 and 67:
Overview first, zoom and filter, th
Page 68 and 69:
Page 70 and 71:
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Attention is limited. Ever saw a ma
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Capacity = 3 or 4 chunks at a time
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Good analysis tools augment memory
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More dimensions through multiple vi
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Coordinated views expand what we ca
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Analytical challenges demand statis
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Predictions rely on statistical mod
Page 86 and 87:
Finding and understanding the stori
Page 88 and 89:
Wisdom Knowledge Information Inform
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O perpetual revolution of configure
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Visual Analytics - An Interaction of Sight and Thought - JMP

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