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10. Data visualization principles 0 of 20 activities solved
  1. 10.1. Encoding data using visual cues
  2. 10.2. Know when to include 0
  3. 10.3. Do not distort quantities
  4. 10.4. Order categories by a meaningful value
  5. 10.5. Show the data
  6. 10.6. Ease comparisons
  7. 10.7. Think of the color blind
  8. 10.8. Plots for two variables
  9. 10.9. Encoding a third variable
  10. 10.10. Avoid pseudo-three-dimensional plots
  11. 10.11. Avoid too many significant digits
  12. 10.12. Know your audience
  13. 10.13.1. Bad Plots
  14. 10.13.2. Reordering
  15. 10.13.3. Boxplot of Murder Rates
  16. 10.13.4. 3D Plots
  17. 10.14. Case study: vaccines and infectious diseases
  18. 10.15.1. Smallpox Tileplot
  19. 10.15.2. Smallpox Time Series
  20. 10.15.3. Comparing Diseases
10. Data visualization principles

10.13.1. Bad Plots

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