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Let the Data Talk (ALA LLAMA MAES keynote 2012)

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Let the Data Talk (ALA LLAMA MAES keynote 2012)

  1. 1. LET THE DATA TALK ALA Anaheim 2012 LLAMA – MAES Cory Lown Digital Technologies Development Librarian North Carolina State University Libraries
  2. 2. 16,500 BCE
  3. 3. 6,200 BCE
  4. 4. 950
  5. 5. 1637
  6. 6. 1786
  7. 7. 1991
  8. 8. 2005
  9. 9. Computers are useless. They can only give you answers. — Pablo Picasso
  10. 10. Untitled Image Layout • Image of something built
  11. 11. Untitled Image Layout • Image of a tool
  12. 12. Psychophysics The branch of psychology that studies the relationship between physical stimuli and mental response
  13. 13. Stimulus  Stimulation  Perception
  14. 14. 9128732198432789543287 6784905043267812837698 7843928364382398731092 3478957438298374209123 0980934591283754845645 8934678238328009748349
  15. 15. 9128732198432789543287 6784905043267812837698 7843928364382398731092 3478957438298374209123 0980934591283754845645 8934678238328009748349
  16. 16. Preattentive attributes • Form – Orientation – Line length – Line width – Size – Shape – Curvature – Marks – Enclosure • Color – Hue – Intensity • Spatial Position – 2D
  17. 17. Preattentive attributes • Form – Orientation – Line length – Line width – Size – Shape – Curvature – Marks – Enclosure • Color – Hue – Intensity • Spatial Position – 2D
  18. 18. Preattentive attributes • Form – Orientation – Line length – Line width – Size – Shape – Curvature – Marks – Enclosure • Color – Hue – Intensity • Spatial Position – 2D
  19. 19. THINGS TO THINK ABOUT Advice from Tufte & Few
  20. 20. “Above all else show the data” – Edward Tufte
  21. 21. Tables & Graphs
  22. 22. Use Tables When you will need to look up individual values
  23. 23. Use Tables When you will need to compare individual values
  24. 24. Use Tables When precise values are required
  25. 25. Use Graphs When the message is contained in the shape of values
  26. 26. Use Graphs When there is a large amount of data
  27. 27. Types of Graphs Different quantitative relationships require different forms of graphs. There are heuristics you can follow.
  28. 28. Lines Perfect for expressing change over time.
  29. 29. Points When you want to show whether two things are correlated use points.
  30. 30. Bars These are great for showing the rank of things.
  31. 31. Bars Also good for expressing part to whole relationships -- percentages.
  32. 32. 2D area Use sparingly. This includes pie charts.
  33. 33. Highlight the data
  34. 34. Highlight the data by reducing non-data ink. Be stingy with ink.
  35. 35. Highlight the data by reducing non-data ink. If I removed this would the graph lose meaning?
  36. 36. Highlight the data by reducing non-data ink. De-emphasize supporting components such as grid lines
  37. 37. Highlight the data by enhancing data ink. Emphasize the most important data by using width, orientation, size, enclosure, hue, color intensity.
  38. 38. Highlight the data by enhancing data ink. But don't overemphasize.
  39. 39. Organize Group, prioritize, and sequence data to help viewers understand.
  40. 40. Too much data? Try small multiples.
  41. 41. TOOLS
  42. 42. Untitled Image Layout
  43. 43. http://selection.datavisualization.ch/
  44. 44. READERS’ ADVISORY
  45. 45. Edward Tufte The Visual Display of Quantitative Information
  46. 46. Stephen Few Show Me the Numbers: Designing Tables and Graphs to Enlighten
  47. 47. Christopher Healey Perception in Visualization http://www.csc.ncsu.edu/faculty/he aley/PP/
  48. 48. THANK YOU Cory Lown NCSU Libraries cwlown@ncsu.edu

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