Assembly - The grouping of detected graphical elements

My notes from the Presentation

  1. pre-attentive processing: Subconscious understanding of graphs.
  2. Only plot time-series if you have sequential data. (3:16)
  3. Bill Cleveland book (4:00)
    • Detection
    • Assembly
    • Estimation
  4. Table look up is a very bad thing (9:47)
  5. Alphabetical sorting in a plot is almost always bad (10:27)
  6. Stacked bar charts are almost always poor.
  7. Just use two charts (I have this problem) (18:51)
  8. Pie charts are always a mistake (19:36)
  9. Comparison is trivial on a common scale (21:44)
    • “Two table look ups and a slot.”
  10. Standardize: Subtract the mean and divide by the standard deviation
  11. The dashboard metaphor is fundamentally flawed (23:45)
    • This is the argument against software like tableau and maybe Excel’s instant plot function
  12. Use two channels to encode information redundantly. This is often a good choice.
  13. Dodged bar charts are often a bad idea (32:49)
  14. Excel’s defaults are pretty bad (34:35)
  15. Weber’s law is why grid lines are useful (36:48)
  16. Erase non-data ink, with reason – Tufte (37:23)
  17. You are best at detecting slope near 45 degrees – banking to 45 (38:10)
  18. Should I include zero in my scale – it depends (39:02)
    • bar charts are comparing lengths. The axis has to start at zero.
  19. Above all else show the variation in data – Rauser (40:32)

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. The are as professional as a pair of —less chaps.

Coda Hale