The document discusses best practices for visualizing data through graphics. It recommends that graphics show the data accurately without distortion, make large datasets coherent, serve a clear purpose, and reveal data at different levels of detail. It also identifies certain visual features like color, position, size, and shape that can effectively convey information preattentively without conscious effort from the viewer.

1. VISUALIZING DATA by joel laumans

6. “ Data graphics visually display measured quantities by means of the combined use of points, lines, a coordinate system, numbers, symbols, words, shading, and color.” Edward R. Tufte

7. Don’t just substitute tables, data visualizations should do much more !

9. “ Excellence in statistical graphics consists of complex ideas communicated with clarity, precision, and efficiency .” Edward R. Tufte Graphical Excellence

10. Edward R. Tufte What data graphics should do: Show the dataDon’t distort the dataMake large data sets coherentServe a clear purposeReveal data at different levels (overview - detailed)

11. Be accurate Lie Factor size of effect shown in graphic size of effect in data

12. Be accurate Lie Factor size of effect shown in graphic size of effect in data

13. Be accurate Lie Factor size of effect shown in graphic size of effect in data

14. geographic other How is your data organized? linear tabular hierarchical networked from Jenifer Tidwell

16. from Jenifer Tidwell Find numbers greater than 1.0

17. from Jenifer Tidwell Find numbers greater than 1.0

18. “ Certain visual features operate ‘ preattentively :’ they convey information before the viewer pays conscious attention.” Jenifer Tidwell

19. 8 preattentive variables

20. color hue

21. position and alignment

22. color brightness

23. orientation

24. color saturation

25. size

26. texture

27. shape

29. www.processing.org

31. Visitors Linear

32. Visitors Cartographic

33. any questions?