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Data Visualization

Data Visualization. Tips, Tricks, and Pitfalls Bob Scopatz. First Data Plot: circa 1644. Minard 1869. Modern Times: And Traffic Safety. There are 100s of types of graphs Most of what we see is 3 types: Bar Line Pie Graphic Tools are Good and Bad. Bad Example: USA Today.

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Data Visualization

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  1. Data Visualization Tips, Tricks, and Pitfalls Bob Scopatz

  2. First Data Plot: circa 1644

  3. Minard 1869

  4. Modern Times: And Traffic Safety • There are 100s of types of graphs • Most of what we see is 3 types: • Bar • Line • Pie • Graphic Tools are Good and Bad

  5. Bad Example: USA Today

  6. Another Bad Example: USA Today

  7. Pitfall #1: Art over Information • Tufte: Chart Junk • Visual elements that convey nothing • Or worse…confusing/contrary information

  8. Tip: Not all Graphic Artistry is Bad

  9. Trick: Use Dimensions Meaningfully • Size (Height, Length, Width, Depth) • Color • Shape • Fill (pattern, transparency) • NOTE: Extra time looking should be rewarded by more information extracted

  10. Pitfall: Excel Options

  11. Tip: Visual Comparison

  12. Tricks • Small Multiples • Animation

  13. Small Multiples

  14. Animation

  15. Free Tools! • Google Public Data Explorer • Data Scene (Express Version)

  16. Google Public Data Explorer • Animations • Bubble Charts • Add own data!

  17. Data Scene (Express) • Commercial Product • Free version • Limitations in Free Version • Animations

  18. Or…Build it Yourself

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