How Humans See Data - Amazon Cut
-
Upload
john-rauser -
Category
Data & Analytics
-
view
2.186 -
download
0
Transcript of How Humans See Data - Amazon Cut
![Page 1: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/1.jpg)
How Humans
See Data
John Rauser
@jrauser
January 2017
![Page 2: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/2.jpg)
How Humans
See Data
John Rauser
@jrauser
January 2017
![Page 3: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/3.jpg)
visualization
![Page 4: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/4.jpg)
visualization
is
communication
![Page 5: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/5.jpg)
how to make better visualizations
![Page 6: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/6.jpg)
help humans solve analytical
problems quickly and accurately
with visualization
![Page 7: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/7.jpg)
Part I: Why visualize data at all?
![Page 8: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/8.jpg)
![Page 9: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/9.jpg)
x
1.972
y
1.236
x y
0.111 0.542
1.112 1.994 0.902 0.005
0.000 1.009 0.598 0.085
0.665 1.942 1.613 1.790
0.235 0.356 1.298 1.955
0.247 1.658 0.651 1.937
1.275 1.961 1.949 1.316
0.702 0.045 0.099 0.567
1.760 0.350 0.862 0.010
1.691 0.277 0.027 0.768
1.628 1.778 0.706 1.956
1.957 1.290 1.042 1.999
![Page 10: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/10.jpg)
![Page 11: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/11.jpg)
pre-attentive processing
![Page 12: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/12.jpg)
A graph is an encoding
of the data.
![Page 13: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/13.jpg)
x
1.972
y
1.236
x y
0.111 0.542
1.112 1.994 0.902 0.005
0.000 1.009 0.598 0.085
0.665 1.942 1.613 1.790
0.235 0.356 1.298 1.955
0.247 1.658 0.651 1.937
1.275 1.961 1.949 1.316
0.702 0.045 0.099 0.567
1.760 0.350 0.862 0.010
1.691 0.277 0.027 0.768
1.628 1.778 0.706 1.956
1.957 1.290 1.042 1.999
![Page 14: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/14.jpg)
![Page 15: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/15.jpg)
n x y n x y
1 1.972 1.236 13 0.111 0.542
2 1.112 1.994 14 0.902 0.005
3 0.000 1.009 15 0.598 0.085
4 0.665 1.942 16 1.613 1.790
5 0.235 0.356 17 1.298 1.955
6 0.247 1.658 18 0.651 1.937
7 1.275 1.961 19 1.949 1.316
8 0.702 0.045 20 0.099 0.567
9 1.760 0.350 21 0.862 0.010
10 1.691 0.277 22 0.027 0.768
11 1.628 1.778 23 0.706 1.956
12 1.957 1.290 24 1.042 1.999
![Page 16: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/16.jpg)
![Page 17: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/17.jpg)
![Page 18: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/18.jpg)
Good visualizations optimize
for the human visual system.
![Page 19: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/19.jpg)
How does the human
visual system work?
![Page 20: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/20.jpg)
How does the human visual
system decode a graph?
![Page 21: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/21.jpg)
![Page 22: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/22.jpg)
Cleveland’s three visual
operations of pattern perception:
1. Detection
2. Assembly
3. Estimation
![Page 23: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/23.jpg)
Part II: estimation
![Page 24: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/24.jpg)
Three levels of estimation
a. discrimination X=Y X!=Y
b. ranking X>Y X<Y
c. ratioing X / Y = ?
![Page 25: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/25.jpg)
At the heart of quantitative
reasoning is a single question:
Compared to what?
- Tufte, Envisioning Information
![Page 26: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/26.jpg)
Three levels of estimation
a. discrimination X=Y X!=Y
b. ranking X>Y X<Y
c. ratioing X / Y = ?
![Page 27: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/27.jpg)
![Page 28: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/28.jpg)
![Page 29: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/29.jpg)
the most
important
thing
![Page 30: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/30.jpg)
![Page 31: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/31.jpg)
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
![Page 32: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/32.jpg)
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
![Page 33: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/33.jpg)
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
![Page 34: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/34.jpg)
“The first rule of color:
do not talk about color!”
- Tamara Munzner
![Page 35: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/35.jpg)
luminance
saturation
hue
![Page 36: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/36.jpg)
![Page 37: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/37.jpg)
luminance
saturation
hue
![Page 38: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/38.jpg)
![Page 39: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/39.jpg)
![Page 40: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/40.jpg)
![Page 41: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/41.jpg)
![Page 42: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/42.jpg)
Observation: Alphabetical is
almost never the correct ordering
of a categorical variable.
![Page 43: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/43.jpg)
![Page 44: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/44.jpg)
![Page 45: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/45.jpg)
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
![Page 46: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/46.jpg)
![Page 47: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/47.jpg)
![Page 48: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/48.jpg)
![Page 49: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/49.jpg)
![Page 50: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/50.jpg)
![Page 51: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/51.jpg)
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
![Page 52: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/52.jpg)
![Page 53: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/53.jpg)
![Page 54: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/54.jpg)
![Page 55: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/55.jpg)
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
![Page 56: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/56.jpg)
![Page 57: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/57.jpg)
![Page 58: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/58.jpg)
![Page 59: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/59.jpg)
![Page 60: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/60.jpg)
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
![Page 61: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/61.jpg)
11 mpg
![Page 62: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/62.jpg)
11 mpg
![Page 63: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/63.jpg)
11 mpg
![Page 64: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/64.jpg)
![Page 65: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/65.jpg)
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
![Page 66: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/66.jpg)
![Page 67: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/67.jpg)
![Page 68: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/68.jpg)
![Page 69: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/69.jpg)
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
![Page 70: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/70.jpg)
![Page 71: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/71.jpg)
![Page 72: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/72.jpg)
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
![Page 73: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/73.jpg)
Observation: Stacked
anything is nearly always
a mistake.
![Page 74: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/74.jpg)
![Page 75: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/75.jpg)
![Page 76: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/76.jpg)
![Page 77: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/77.jpg)
![Page 78: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/78.jpg)
![Page 79: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/79.jpg)
Stacking makes the reader
decode lengths, not position
on a common scale.
![Page 80: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/80.jpg)
11 mpg
![Page 81: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/81.jpg)
![Page 82: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/82.jpg)
Observation: Stacked
anything is nearly always
a mistake.
![Page 83: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/83.jpg)
![Page 84: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/84.jpg)
Observation: Pie charts are
ALWAYS a mistake.
![Page 85: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/85.jpg)
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/
![Page 86: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/86.jpg)
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/
![Page 87: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/87.jpg)
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
![Page 88: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/88.jpg)
![Page 89: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/89.jpg)
![Page 90: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/90.jpg)
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
![Page 91: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/91.jpg)
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
![Page 92: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/92.jpg)
Clinton Trump
Among Democrats 99% 1%
Among Republicans 53% 47%
Who do you think did a better
job in tonight’s debate?
![Page 93: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/93.jpg)
![Page 94: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/94.jpg)
Afghanistan
Albania
Algeria
Angola
Argentina
Australia
Austria
Bahrain
Bangladesh
Belgium
Benin
Bolivia
Bosnia and Herzegovina
Botswana
Brazil
Bulgaria
Burkina Faso
Burundi
Cambodia
Cameroon
![Page 95: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/95.jpg)
All good pie charts are jokes.
![Page 96: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/96.jpg)
![Page 97: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/97.jpg)
![Page 98: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/98.jpg)
Observation: Comparison is trivial
on a common scale.
![Page 99: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/99.jpg)
![Page 100: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/100.jpg)
![Page 101: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/101.jpg)
![Page 102: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/102.jpg)
![Page 103: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/103.jpg)
![Page 104: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/104.jpg)
the dashboard metaphor is
fundamentally flawed
![Page 105: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/105.jpg)
![Page 106: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/106.jpg)
![Page 107: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/107.jpg)
![Page 108: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/108.jpg)
Observation: Scatterplots
show relationships directly.
![Page 109: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/109.jpg)
![Page 110: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/110.jpg)
![Page 111: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/111.jpg)
Observation: Growth charts
usually aren’t.
![Page 112: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/112.jpg)
![Page 113: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/113.jpg)
If growth (slope) is
important, plot it directly.
![Page 114: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/114.jpg)
![Page 115: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/115.jpg)
Observation: Growth charts
usually aren’t.
If growth (slope) is important,
plot it directly.
![Page 116: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/116.jpg)
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
![Page 117: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/117.jpg)
Cleveland’s three visual operations
of pattern perception:
1. Detection
2. Assembly
3. Estimation
![Page 118: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/118.jpg)
Part three: assembly
![Page 119: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/119.jpg)
Gestalt Psychology
![Page 120: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/120.jpg)
![Page 121: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/121.jpg)
reification
![Page 122: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/122.jpg)
emergence
![Page 123: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/123.jpg)
![Page 124: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/124.jpg)
emergence
![Page 125: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/125.jpg)
![Page 126: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/126.jpg)
Prägnanz
![Page 127: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/127.jpg)
Law Of Closure
![Page 128: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/128.jpg)
![Page 129: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/129.jpg)
Law Of Continuity
![Page 130: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/130.jpg)
![Page 131: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/131.jpg)
![Page 132: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/132.jpg)
Observation: Good plots
leverage the law of continuity
to assist with assembly.
![Page 133: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/133.jpg)
![Page 134: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/134.jpg)
![Page 135: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/135.jpg)
Law of Similarity
![Page 136: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/136.jpg)
![Page 137: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/137.jpg)
![Page 138: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/138.jpg)
![Page 139: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/139.jpg)
![Page 140: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/140.jpg)
![Page 141: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/141.jpg)
![Page 142: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/142.jpg)
Law of Proximity
![Page 143: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/143.jpg)
![Page 144: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/144.jpg)
![Page 145: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/145.jpg)
Observation: dodged bar
charts are a bad idea
![Page 146: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/146.jpg)
Cleveland’s three visual operations
of pattern perception:
1. Detection
2. Assembly
3. Estimation
![Page 147: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/147.jpg)
Part IV: detection
![Page 148: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/148.jpg)
![Page 149: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/149.jpg)
![Page 150: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/150.jpg)
![Page 151: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/151.jpg)
![Page 152: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/152.jpg)
![Page 153: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/153.jpg)
![Page 154: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/154.jpg)
![Page 155: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/155.jpg)
excel’s defaults are pretty bad
![Page 156: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/156.jpg)
-
20,000
40,000
60,000
80,000
100,000
120,000
140,000
160,000
180,000
200,000
1 2 3 4 5 6
![Page 157: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/157.jpg)
Observation: Detection isn’t
as trivial as it seems.
![Page 158: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/158.jpg)
![Page 159: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/159.jpg)
“Above all else, show the data.”
-Tufte
![Page 160: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/160.jpg)
Part V: other useful results
![Page 161: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/161.jpg)
Weber’s law: The “Just Noticeable
Difference” is proportional to the
size of the initial stimuli.
![Page 162: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/162.jpg)
10 20
![Page 163: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/163.jpg)
10 20
100 110
![Page 164: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/164.jpg)
![Page 165: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/165.jpg)
![Page 166: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/166.jpg)
12 units
12 units
![Page 167: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/167.jpg)
Observation: Weber’s Law is
why gridlines are useful
![Page 168: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/168.jpg)
![Page 169: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/169.jpg)
![Page 170: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/170.jpg)
![Page 171: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/171.jpg)
“Erase non-data ink.”
-Tufte
![Page 172: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/172.jpg)
“Erase non-data ink,
within reason.”
-Tufte
![Page 173: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/173.jpg)
“Erase non-data ink that interferes
with detection or doesn’t assist
assembly and estimation.”
-Rauser
![Page 174: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/174.jpg)
![Page 175: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/175.jpg)
You are bad at estimating
the difference between lines.
![Page 176: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/176.jpg)
![Page 177: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/177.jpg)
![Page 178: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/178.jpg)
![Page 179: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/179.jpg)
![Page 180: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/180.jpg)
Observation: If a difference is
important, plot it directly.
![Page 181: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/181.jpg)
You are best at detecting variation
in slope near 45 degrees.
![Page 182: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/182.jpg)
![Page 183: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/183.jpg)
banking to 45
![Page 184: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/184.jpg)
![Page 185: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/185.jpg)
![Page 186: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/186.jpg)
Observation: Banking to 45
best shows variation in slope
![Page 187: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/187.jpg)
![Page 188: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/188.jpg)
Q: Should I include 0 on my scale?
![Page 189: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/189.jpg)
![Page 190: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/190.jpg)
![Page 191: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/191.jpg)
Q: Should I include 0 on my scale?
A: It depends.
![Page 192: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/192.jpg)
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.
![Page 193: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/193.jpg)
![Page 194: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/194.jpg)
![Page 195: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/195.jpg)
![Page 196: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/196.jpg)
![Page 197: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/197.jpg)
![Page 198: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/198.jpg)
![Page 199: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/199.jpg)
“Above all else, show the data.”
-Tufte
![Page 200: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/200.jpg)
“Above all else, show
the variation in the data.”
-Rauser (via Tufte)
![Page 201: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/201.jpg)
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
https://goo.gl/LuDNje
I will tweet these links as @jrauser
![Page 202: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/202.jpg)
coda
![Page 203: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/203.jpg)
visualization
is
communication
![Page 204: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/204.jpg)
art
is
communication
![Page 205: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/205.jpg)
visualization
is
art
![Page 206: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/206.jpg)
![Page 207: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/207.jpg)
![Page 208: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/208.jpg)
![Page 209: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/209.jpg)
![Page 210: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/210.jpg)
![Page 211: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/211.jpg)
why does it make you
feel that way?
![Page 212: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/212.jpg)
visualization has as much to
learn from art as from science
![Page 213: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/213.jpg)
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
https://goo.gl/LuDNje
I will tweet these links as @jrauser
![Page 214: How Humans See Data - Amazon Cut](https://reader034.fdocuments.us/reader034/viewer/2022050613/588706c01a28ab4e3a8b73af/html5/thumbnails/214.jpg)
end