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What made the 3rd version �a good explanatory graph?

In your breakout groups

  • Choose someone to report out on your discussion
  • Discuss the following questions
    1. What specific visual choices did the author of the final graph make that increased its effectiveness? What do these choices add and remove from the prior versions?
    2. Why did this graph capture so much attention? What can we learn from that?
    3. Is your response to this graph different than it was the first time you saw it? Describe the change and what that means for graph design.
    4. Why doesn’t this graph resonate with everyone? What factors outside of visual design impact audience response?

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Persuading

With Data

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Creating good explanatory visualizations requires iteration

Source: CDC Report “Community Mitigation Guidelines to Prevent Pandemic Influenza — United States, 2017” 4/21/2017

Persuading

With Data

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Explaining data requires different

visuals than exploring data

The longer it takes for coronavirus to spread through the population, the lower the chance the healthcare system will be overwhelmed

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Source: Dan Harris via Twitter, 2/28/2020, https://twitter.com/drewaharris/status/1233267475036372992

Persuading

With Data