1. Don’t Hide Good Data Analyses in Difficult Graphs Gary McClelland & Julie Schiro Analyze Boulder 4 June 2014

2. Florence Nightingale “The Passionate Statistician” 4 June 2014 gary.mcclelland@colorado.edu & julie.schiro@colorado.edu 2

3. John Snow 4 June 2014 gary.mcclelland@colorado.edu & julie.schiro@colorado.edu 3

4. Charles Minard 4 June 2014 gary.mcclelland@colorado.edu & julie.schiro@colorado.edu 4

5. 4 June 2014 gary.mcclelland@colorado.edu & julie.schiro@colorado.edu 5

6. 3D Column Chart 4 June 2014 gary.mcclelland@colorado.edu & julie.schiro@colorado.edu 6

7. “Height of Green Columns” 4 June 2014 gary.mcclelland@colorado.edu & julie.schiro@colorado.edu 7

8. Blue > Green 4 June 2014 gary.mcclelland@colorado.edu & julie.schiro@colorado.edu 8

9. Both Answers Correct? 4 June 2014 gary.mcclelland@colorado.edu & julie.schiro@colorado.edu 9

10. Green Columns = 5 4 June 2014 gary.mcclelland@colorado.edu & julie.schiro@colorado.edu 10

11. Same data in 2D 4 June 2014 gary.mcclelland@colorado.edu & julie.schiro@colorado.edu 11

12. But even here… High contrast where not needed Low contrast where discrimination needed 4 June 2014 gary.mcclelland@colorado.edu & julie.schiro@colorado.edu 12

13. Scatterplots from R 4 June 2014 gary.mcclelland@colorado.edu & julie.schiro@colorado.edu 13

14. However DOTS 4 June 2014 gary.mcclelland@colorado.edu & julie.schiro@colorado.edu 14

15. What is the Relationship? 4 June 2014 gary.mcclelland@colorado.edu & julie.schiro@colorado.edu 15

16. 4 June 2014 gary.mcclelland@colorado.edu & julie.schiro@colorado.edu 16 Not at all worth it Very worth it Neither helpful nor hurtful

17. Identical graphs, except the red cluster appears in the lower left or upper right 4 June 2014 gary.mcclelland@colorado.edu & julie.schiro@colorado.edu 17

18. Without red clusters - identical 4 June 2014 gary.mcclelland@colorado.edu & julie.schiro@colorado.edu 18

19. With “red” clusters 4 June 2014 gary.mcclelland@colorado.edu & julie.schiro@colorado.edu 19

20. Regression Line Helps 4 June 2014 gary.mcclelland@colorado.edu & julie.schiro@colorado.edu 20

21. Punchlines “It’s not you, it’s me”: If the decision maker can’t understand your graph, don’t blame the decision maker. Make a better graph. Unless there really is a 3 rd dimension that you really need to display, avoid 3D graphs. Enhance scatterplots and other graphics from stat programs to help the viewer focus on all of the data, not just some of it. 4 June 2014 gary.mcclelland@colorado.edu & julie.schiro@colorado.edu 21

22. 4 June 2014 gary.mcclelland@colorado.edu & julie.schiro@colorado.edu 22 May you make great graphs! Thank you! Gary & Julie

23. Useful Links & Addresses Gary.mcclelland@colorado.edu Julie.schiro@colorado.edu Gary’s ground-breaking but now aging online interactive statistics textbook using Java applets: http://www.seeingstatistics.comhttp://www.seeingstatistics.com Gary’s data analysis textbook: http://www.dataanalysisbook.comhttp://www.dataanalysisbook.com Gary’s data visualization consulting firm: http://www.bolderstats.comhttp://www.bolderstats.com Java applets for teaching statistical concepts: http://www.seeingstatistics.com/gallery/ [the magic words are ‘model’ and ‘error’] http://www.seeingstatistics.com/gallery/ Steven Johnson’s TED talk about John Snow’s “ghost map”: http://www.ted.com/talks/steven_johnson_tours_the_ghost_map.html http://www.ted.com/talks/steven_johnson_tours_the_ghost_map.html Michael Friendly’s data visualization website, the “Milestones Project” describes and illustrates the ‘Golden Age of Data Graphics’: http://www.datavis.cahttp://www.datavis.ca Edward Tufte is usually considered the guru of modern data graphics. His website has LOTs of resources: http://www.edwardtufte.com/tufte/http://www.edwardtufte.com/tufte/ This presentation: http://www.bolderstats.com/graphsAB.pptxhttp://www.bolderstats.com/graphsAB.pptx 4 June 2014 gary.mcclelland@colorado.edu & julie.schiro@colorado.edu 23