This presentation offers tips for creating effective statistical graphics. Sometimes, a small change to a graph can make a big difference. Other times, it is better to replace the graph entirely. Always, it is vital to design graphs that convey a clear statistical message to your target audience. SAS code is shown for every tip. The complete SAS code is freely available.

The 10 tips are:

1. Simpler is better.

2. Use Well-Designed Color Palettes

3. Use Small Multiples

4. Use a Horizontal Display for Categories

5. Order Categories by Using a Statistic

6. Plot Rates, Not Counts

7. Visualize Missing Data

8. Use Lasagna Charts Instead of Spaghetti Plots

9. Use Dot Plots Instead of Dynamite Plots

10. Think Carefully about Using Log Scales

Rick Wicklin, PhD, is a distinguished researcher in computational statistics at SAS and is a principal developer of the SAS/IML matrix language. His areas of expertise include simulation, computational statistics, and statistical graphics. Rick is an author of two books, including Simulating Data with SAS. He writes a popular blog about statistical programming in SAS (https://blogs.sas.com/content/iml). Rick frequently presents talks, tutorials, and workshops, and is active in communities.sas.com.