Visual Analytics - An Interaction of Sight and Thought - JMP

More documents

Recommendations

Info

Complex problems require visual thinking. Everyone agrees that we have a problem. Our technological culture is drowning in its own success. Masses of data and information are accumulating everywhere. Up to now, the basic strategy for dealing with these growing masses of information has been long, mind-numbing education and reckless, blinkered specialization. That this strategy has been effective in a great many respects, so far, there can be little debate. The problems we are discussing are a tribute to its ample and abundant success, so far. However, after long success, it is becoming increasingly clear that this strategy may be entering a phase of diminishing return. It has long been recognized that this strategy has always had built-in problems. The more one knows in one’s own, increasingly narrow area, the more one is ignorant in other areas, the more difficult is effective communication between unrelated areas, and the more unlikely it is that the larger whole will be properly perceived or understood. Like the student who reads too much small print, the specialist’s habitual near focus often promotes the myopic perspective that precludes the comprehension of larger, more important patterns. The distant view of the whole is blurred and unclear. If you focus only on a small group of stars at the edge of the Milky Way, you will not perceive the larger structure of the whole galaxy of which the group is one tiny part. The specialist strategy breeds its own limits. Pieces of the puzzle in separate areas remain far apart, or come together only after decades of specialist resistance, or success in one area leads to great problems in another. Material abundance produces waste-disposal problems; cars and aircraft produce wonderful mobility for many people, but also deplete resources, produce accidental fatalities, and increase pollution; success in vaccination, hygiene, and health care lead to all the problems of great concentrations of human population. As the specialist strategy continues to be pursued, a sense of the whole is increasingly lost. Many know their areas; few see the whole. Many are expert; few are wise. But the visual thinkers, late bloomers, and creative dyslexics we have been dealing with have often been outsiders or reluctant participants in this specialist culture—especially those who are energetic, and globally minded, who seem always to be interested in everything, unable to settle down to a “serious” (that is, highly specialized) area of study. (In the Mind’s Eye, Thomas G. West, p. 298)
Only visual thinking can connect the dots. Connecting the dots of complex problems requires visual thinking.
Page 2 and 3: Visual Analytics An Interaction of
Page 4 and 5: Hurray data! Hurray technology! We
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 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 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 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
Page 92 and 93:
Page 94 and 95:
show all

Visual Analytics - An Interaction of Sight and Thought - JMP

Create successful ePaper yourself

Delete template?

Save as template?