Module 2: How to Critically Analyze and Interpret Data Visualizations

Strategies for Critically Assessing Data Visualizations

Critically assessing data visualizations can be tricky, so we’ve broken it down into several steps:

  • Step 1: Stop and Slow Down
  • Step 2: Separate the Scaffolding from the Visual Encoding
  • Step 3: Focus on Scaffolding
  • Step 4: Focus on Content and Visual Encoding
  • Step 5: Step Back to Spot Patterns and Relationships
  • Step 6: Examine Your Own Biases

Keep reading to learn more about each step.

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Critical Data Literacy Copyright © 2022 by Nora Mulvaney and Audrey Wubbenhorst and Amtoj Kaur is licensed under a Creative Commons Attribution 4.0 International License, except where otherwise noted.

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