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LET THE DATA TALK
ALA Anaheim 2012
LLAMA – MAES
Cory Lown
Digital Technologies Development Librarian
North Carolina State University Libraries
16,500 BCE
6,200 BCE
950
1637
1786
1991
2005
Computers are useless. They
can only give you answers.
— Pablo Picasso
Untitled Image Layout
• Image of something built
Untitled Image Layout
• Image of a tool
Psychophysics
The branch of psychology that
studies the relationship between
physical stimuli and mental
response
Stimulus  Stimulation  Perception
9128732198432789543287
6784905043267812837698
7843928364382398731092
3478957438298374209123
0980934591283754845645
8934678238328009748349
9128732198432789543287
6784905043267812837698
7843928364382398731092
3478957438298374209123
0980934591283754845645
8934678238328009748349
Preattentive attributes
• Form
– Orientation
– Line length
– Line width
– Size
– Shape
– Curvature
– Marks
– Enclosure
• Color
– Hue
– Intensity
• Spatial Position
– 2D
Preattentive attributes
• Form
– Orientation
– Line length
– Line width
– Size
– Shape
– Curvature
– Marks
– Enclosure
• Color
– Hue
– Intensity
• Spatial Position
– 2D
Preattentive attributes
• Form
– Orientation
– Line length
– Line width
– Size
– Shape
– Curvature
– Marks
– Enclosure
• Color
– Hue
– Intensity
• Spatial Position
– 2D
THINGS TO THINK ABOUT
Advice from Tufte & Few
“Above all else show the data”
– Edward Tufte
Tables & Graphs
Use Tables
When you will need to look up
individual values
Use Tables
When you will need to compare
individual values
Use Tables
When precise values are required
Use Graphs
When the message is contained in
the shape of values
Use Graphs
When there is a large amount of
data
Types of Graphs
Different quantitative relationships
require different forms of graphs.
There are heuristics you can follow.
Lines
Perfect for expressing change over
time.
Points
When you want to show whether
two things are correlated use
points.
Bars
These are great for showing the
rank of things.
Bars
Also good for expressing part to
whole relationships -- percentages.
2D area
Use sparingly. This includes pie
charts.
Highlight the data
Highlight the data by reducing
non-data ink.
Be stingy with ink.
Highlight the data by reducing
non-data ink.
If I removed this would the graph
lose meaning?
Highlight the data by reducing
non-data ink.
De-emphasize supporting
components such as grid lines
Highlight the data by enhancing
data ink.
Emphasize the most important data
by using width, orientation, size,
enclosure, hue, color intensity.
Highlight the data by enhancing
data ink.
But don't
overemphasize.
Organize
Group, prioritize, and sequence
data to help viewers understand.
Too much data?
Try small multiples.
TOOLS
Untitled Image Layout
http://selection.datavisualization.ch/
READERS’ ADVISORY
Edward Tufte
The Visual Display of Quantitative
Information
Stephen Few
Show Me the Numbers: Designing
Tables and Graphs to Enlighten
Christopher Healey
Perception in Visualization
http://www.csc.ncsu.edu/faculty/he
aley/PP/
THANK YOU
Cory Lown
NCSU Libraries
cwlown@ncsu.edu

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Let the Data Talk (ALA LLAMA MAES keynote 2012)

Notes de l'éditeur

  1. First maps were of the sky Cave paintings at Lascaux contain star maps Image from flickr user williamcromar
  2. Maps of land came later. There seem to be several contenders for the first town map But here is a frequently cited example from Konya, Turkey in 6200 BCE
  3. This graph by an unknown author attempts to show the movement of the planets over time. I can't vouch for its accuracy.
  4. Rene Descartes – invents the Cartesian coordinate system This has significant impact on how we visualize quantitative information
  5. William Playfair is credited with inventing statistical graphics. He invented the Bar Chart This is a later example that shows the rise in the price of wheat along with the rise in wages over time
  6. Ben Schneiderman invented the treemap as a way to visualize usage of his Macintosh's hard drive. It's useful for displaying hierarchical data
  7. Hans Rosling invents the Motion Bubble Chart – which is now part of Google's visualization API An interactive chart that displays several variables at once and animates changes over time. It's featured in a popular TED talk
  8. Flickr user ketmonkey
  9. Image from Casey Fleser An Osborne Executive portable computer, from 1982 with a Zilog Z80 4MHz CPU, and a 2007 Apple iPhone with a 412MHz ARM11 CPU. The Executive weighs 100 times as much, is nearly 500 times as large by volume, costs approximately 10 times as much (adjusting for inflation), and has 1/100th the clock frequency of the phone.
  10. Flickr user ketmonkey
  11. 1913 London Underground Map - http://homepage.ntlworld.com/clive.billson/tubemaps/1913.html Here is an example of a data visualization (or map) that is accurate but may not work well for its intended purpose. Things to notice It's a standard map project Subway lines appear where they would geographically if they were on the surface Roads, various municipal boundaries are visible. It works but it's not optimal
  12. Harry Beck's 1933 Underground Map Beck took a step back Considered the problem that the subway map was attempting to solve What matters are relation of stops and transfer stations to each other Legibility of stop names – where to get on and off Subway is underground – don't need roads For simplicity and legibility lines are drawn at 90 and 45 degree angles – Similar to electrical circuit diagrams http://sites.google.com/site/tombowersites/harry-beck
  13. 2010 Boston T Map This basic design is so successful that it is still used for subway maps around the world
  14. Scatterplot – takes advantage of 2D spatial position
  15. Line chart also takes advantage of 2D spatial position. Line chart is really a scatterplot with lines draw between points in some sequence.
  16. Bar chart takes advantage of line length and 2D spatial position
  17. Beyond asking good questions. Knowing the attributes that make for effective display of quantitative data, what are some guidelines etc. for visualizing data. There’s no magic bullet for creating effective data visualizations. It takes practice and experimentation. But there are some guiding principles that we help get you moving in the right direction.
  18. Excel, Google Docs, Google Visualization API,
  19. Somewhat like google gadgets but more powerful. Google Visualization API Collection of JavaScript visualizations You can customize and embed in web pages Requires some programming know-how
  20. Relatively simple Javascript embedded in a web page generates the chart. Can modify this directly and create a chart, but the data will be static.
  21. Relatively simple Javascript embedded in a web page generates the chart. Can modify this directly and create a chart, but the data will be static.