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Data Visualization Guide

Interpretation and Critique

Remember, this process is iterative!

At this stage you'll want to share your visualizations and get feedback to catch any biases that maybe affecting the readability of the graph. You want to also make sure people understand the story that you are trying to tell.

Questions to ask yourself:

  • Would a user be able to understand the basics in 15 seconds?
  • Is this visualization honest about what isn’t represented?

Feedback questions to ask from users:

  • What do they pay attention to?
  • What questions do they have?
  • What observations do they make?

This is also a good stage to make sure you've cited your sources and have accounted for the labour that has gone into making this visualization.

One tool is this helpful checklist developed by Evergreen and Emery to rate your visualization.

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