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.