31. The most important measurement should exploit
the highest ranked encoding possible.
• Position along a common scale
• Position on identical but nonaligned scales
• Length
• Angle or Slope
• Area
• Volume or Density or Color saturation
• Color hue
32. The most important measurement should exploit
the highest ranked encoding possible.
• Position along a common scale
• Position on identical but nonaligned scales
• Length
• Angle or Slope
• Area
• Volume or Density or Color saturation
• Color hue
33. The most important measurement should exploit
the highest ranked encoding possible.
• Position along a common scale
• Position on identical but nonaligned scales
• Length
• Angle or Slope
• Area
• Volume or Density or Color saturation
• Color hue
34. “The first rule of color:
do not talk about color!”
- Tamara Munzner
44. The most important measurement should exploit
the highest ranked encoding possible.
• Position along a common scale
• Position on identical but nonaligned scales
• Length
• Angle or Slope
• Area
• Volume or Density or Color saturation
• Color hue
45.
46.
47.
48.
49.
50. The most important measurement should exploit
the highest ranked encoding possible.
• Position along a common scale
• Position on identical but nonaligned scales
• Length
• Angle or Slope
• Area
• Volume or Density or Color saturation
• Color hue
51.
52.
53.
54. The most important measurement should exploit
the highest ranked encoding possible.
• Position along a common scale
• Position on identical but nonaligned scales
• Length
• Angle or Slope
• Area
• Volume or Density or Color saturation
• Color hue
55.
56.
57.
58.
59. The most important measurement should exploit
the highest ranked encoding possible.
• Position along a common scale
• Position on identical but nonaligned scales
• Length
• Angle or Slope
• Area
• Volume or Density or Color saturation
• Color hue
64. The most important measurement should exploit
the highest ranked encoding possible.
• Position along a common scale
• Position on identical but nonaligned
scales
• Length
• Angle or Slope
• Area
• Volume or Density or Color saturation
• Color hue
65.
66.
67.
68. The most important measurement should exploit
the highest ranked encoding possible.
• Position along a common scale
• Position on identical but nonaligned scales
• Length
• Angle or Slope
• Area
• Volume or Density or Color saturation
• Color hue
69.
70.
71. The most important measurement should exploit
the highest ranked encoding possible.
• Position along a common scale
• Position on identical but nonaligned scales
• Length
• Angle or Slope
• Area
• Volume or Density or Color saturation
• Color hue
84. Piecharts are the information visualization
equivalent of a roofing hammer to the
frontal lobe. They have no place in the world
of grownups, and occupy the same semiotic
space as short pants, a runny nose, and
chocolate smeared on one’s face. They are
as professional as a pair of assless chaps.
http://blog.codahale.com/2006/04/29/google-analytics-the-goggles-they-do-nothing/
85. Piecharts are the information visualization
equivalent of a roofing hammer to the frontal
lobe. They have no place in the world of
grownups, and occupy the same semiotic
space as short pants, a runny nose, and
chocolate smeared on one’s face. They are
as professional as a pair of assless chaps.
http://blog.codahale.com/2006/04/29/google-analytics-the-goggles-they-do-nothing/
86. The most important measurement should exploit
the highest ranked encoding possible.
• Position along a common scale
• Position on identical but nonaligned scales
• Length
• Angle or Slope
• Area
• Volume or Density or Color saturation
• Color hue
87.
88.
89. Tables are preferable to graphics for many small
data sets. A table is nearly always better than a
dumb pie chart; the only thing worse than a pie
chart is several of them, for then the viewer is
asked to compared quantities located in spatial
disarray both within and between pies… Given
their low data-density and failure to order
numbers along a visual dimension, pie charts
should never be used.
-Edward Tufte, The Visual Display of Quantitative Information
90. Tables are preferable to graphics for many
small data sets. A table is nearly always better
than a dumb pie chart; the only thing worse than
a pie chart is several of them, for then the viewer
is asked to compared quantities located in spatial
disarray both within and between pies… Given
their low data-density and failure to order
numbers along a visual dimension, pie charts
should never be used.
-Edward Tufte, The Visual Display of Quantitative Information
91. Clinton Trump
Among Democrats 99% 1%
Among Republicans 53% 47%
Who do you think did a better
job in tonight’s debate?
114. The most important measurement should exploit
the highest ranked encoding possible.
• Position along a common scale
• Position on identical but nonaligned scales
• Length
• Angle or Slope
• Area
• Volume or Density or Color saturation
• Color hue
115. Cleveland’s three visual operations
of pattern perception:
1. Detection
2. Assembly
3. Estimation
182. Q: Should I include 0 on my scale?
A: It depends.
183. Q: Should I include 0 on my scale?
A: Relying on the pre-attentive
perception of size or intensity?
Yes, otherwise you will mislead.
Using position? It’s up to you.
191. “Above all else, show
the variation in the data.”
-Rauser (via Tufte)
192. R/GGplot2 code for every plot in this
presentation available at http://goo.gl/xH5PLV
The rendered document is at
http://rpubs.com/jrauser/hhsd_notes
This presentation is at
http://goo.gl/VKxxya
I will tweet these links as @jrauser
204. R/GGplot2 code for every plot in this
presentation available at http://goo.gl/xH5PLV
The rendered document is at
http://rpubs.com/jrauser/hhsd_notes
This presentation is at
http://goo.gl/VKxxya
I will tweet these links as @jrauser
