DA0-002 Data Governance Practice Question
A data analyst needs to present the results of a customer segmentation analysis to the marketing team. The analysis identified four segments based on purchasing behavior. Which visualization is most effective for showing the characteristics of each segment?
⚠ Common exam trap
Many candidates choose a scatter plot or heatmap because they are more common in exploratory analysis, but the question specifically asks for showing the characteristics (multiple attributes) of each segment, which is best served by a radar chart's multi-axis comparison.
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
✓
Radar chart
A radar chart is the most effective visualization for comparing multiple quantitative variables across different categories, such as the purchasing behavior characteristics of each customer segment. It allows the marketing team to see the profile of each segment at a glance by plotting each characteristic on a separate axis radiating from a central point, making it easy to identify strengths, weaknesses, and similarities between segments.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
Histogram
Why it's wrong here
Histograms show frequency distribution of a single variable.
- ✗
Heatmap
Why it's wrong here
Heatmaps show values in a matrix but are less effective for comparing profiles.
- ✓
Radar chart
Why this is correct
Radar charts display multiple variables for each segment on a common scale.
- ✗
Scatter plot
Why it's wrong here
Scatter plots are for bivariate correlation, not multiple attributes.
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