DA0-002 Visualization and Reporting Practice Question
A data analyst is creating a report to compare the performance of sales regions across multiple years. The report will be used by regional managers to identify trends. Which visualization approach best supports this?
⚠ Common exam trap
DA0-002 often tests the confusion between charts that show trends (line charts) and those that compare categories (bar charts), and candidates may overlook that small multiples are a form of line chart that reduces clutter.
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
✓
Small multiples of line charts, one per region
Small multiples of line charts, one per region, allow regional managers to easily compare trends across years without visual clutter. Each region gets its own chart with consistent axes, making patterns and outliers clear. This approach supports the goal of identifying trends per region while enabling cross-region comparison.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
A single line chart with all regions overlaid
Why it's wrong here
Overlaying every region on one line chart makes individual trend lines hard to distinguish and compare, especially with many regions or similar values. A single line chart suits tracking one metric over time, not multi-series regional comparison.
- ✗
A bar chart with years on x-axis and regions as grouped bars
Why it's wrong here
Grouped bars place years on the x-axis, so each region's trend across years must be inferred by scanning across clusters rather than read as a continuous line. Grouped bars suit comparing discrete category values within periods, not multi-year trend analysis.
- ✗
A stacked area chart with all regions
Why it's wrong here
Stacked areas sum to a cumulative total, so each region's individual trend is obscured by the segments beneath it, hindering trend identification. Stacked area charts suit showing part-to-whole contribution over time, not comparing independent regional trajectories.
- ✓
Small multiples of line charts, one per region
Why this is correct
Small multiples of line charts, one per region, satisfy the multi-year trend comparison constraint: each region gets an identical axis scale, so managers compare slopes directly without overlapping lines obscuring patterns. Line charts encode temporal continuity, and faceting by region removes the clutter that a single multi-series chart would create across many regions.
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Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official CompTIA exam blueprint
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