DA0-002 Visualization and Reporting Practice Question
A company wants to show the number of products sold across different categories: Electronics, Clothing, Home Goods, and Books. Which chart type is most appropriate?
⚠ Common exam trap
The trap is confusing 'number sold' (a count) with 'proportion of total' (a part-to-whole); candidates who see categories and reach for a pie chart fall into it.
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
✓
Bar chart
A bar chart is ideal for comparing a quantitative measure (number of products sold) across a small number of discrete categories (Electronics, Clothing, Home Goods, Books). The length of each bar directly encodes the value, making comparisons easy and accurate.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Bar chart
Why this is correct
A bar chart compares discrete categorical values using rectangular bars whose lengths encode quantity, making it ideal for showing product counts across Electronics, Clothing, Home Goods, and Books. Categories sit on one axis, so relative sales volumes are compared at a glance.
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Scatter plot
Why it's wrong here
A scatter plot positions points on two numeric axes to reveal correlation between paired continuous variables, so it cannot represent counts per named category. It is tempting because it displays individual data points, but it is the correct choice when examining the relationship between two quantitative measures, such as price against units sold.
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Line chart
Why it's wrong here
A line chart connects points to show a continuous trend across an ordered axis, typically time; unordered nominal categories such as Electronics and Clothing have no inherent sequence for the line to follow. Line charts are correct when plotting a metric's change over a continuous interval, such as monthly sales figures.
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Pie chart
Why it's wrong here
A pie chart encodes each category as an angular slice of a whole, which obscures exact counts and becomes unreadable with many categories; comparing discrete totals across four named categories needs a bar chart. Pie charts suit showing proportional composition of a single total, such as each category's percentage share of overall sales.
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Last reviewed September 2026 · checked against the official CompTIA exam blueprint
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