DA0-002 Visualization and Reporting Practice Question
A data analyst creates a heatmap to show website click-through rates by hour and day of week. The heatmap uses a green-to-red gradient, but users cannot distinguish between moderate values. What is the best fix?
⚠ Common exam trap
Many candidates think adding visual elements (borders or size) or filtering data will fix color perception issues, when the core problem is the color scheme's inability to represent moderate values distinctly.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Switch to a diverging color scheme with a neutral center
A diverging color scheme with a neutral center (e.g., white or light gray) allows users to distinguish moderate values from extremes by providing a clear visual midpoint. The original green-to-red gradient is a sequential scheme that compresses moderate values into a narrow perceptual range, making them indistinguishable. Switching to a diverging palette solves this by mapping moderate values to the neutral center and extremes to the endpoints.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Switch to a diverging color scheme with a neutral center
Why this is correct
Diverging palettes highlight midpoints and differentiate values better.
- ✗
Remove all but the highest and lowest values
Why it's wrong here
Removing data discards information.
- ✗
Add black borders around each cell
Why it's wrong here
Borders can create visual noise without improving color distinction.
- ✗
Increase the size of each heatmap cell
Why it's wrong here
Cell size doesn't improve color perception.
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