Quick Answer
The correct answer is a side-by-side box plot because it is the most appropriate visualization for comparing salary distributions across multiple departments. This chart type simultaneously displays the median, quartiles, and potential outliers for each group, allowing a data analyst to assess central tendency, spread, and skewness across all five departments in a single, compact view. On the CompTIA Data+ DA0-001 exam, this question tests your understanding of choosing the right chart for comparing distributions across categories, a common scenario in exploratory data analysis. A frequent trap is selecting a histogram, which works for a single distribution but cannot compare multiple groups side by side, or a bar chart, which only shows averages and hides variability. To remember, think: when you need to compare the “spread” and “middle” of several groups at once, a side-by-side box plot is your go-to tool.
This DA0-001 practice question tests your understanding of visualizing data. Compare every option against the stated constraints before choosing — the best answer satisfies all requirements, not just the most obvious one. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
A data analyst needs to compare the salary distribution across five departments. Which visualization is most appropriate?
Line chart
Why wrong: Line charts are for trends over time, not group comparisons.
Side-by-side box plot
Box plots display distribution statistics for each group.
Scatter plot
Why wrong: Scatter plots show relationships between two variables, not distribution.
Stacked bar chart
Why wrong: Stacked bars show parts of a whole, not distribution.
Answer choices
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
Side-by-side box plot
A side-by-side box plot (option B) is the most appropriate visualization for comparing salary distributions across multiple departments because it displays the median, quartiles, and potential outliers for each group simultaneously. This allows the analyst to assess central tendency, spread, and skewness across all five departments in a single, compact chart.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
For each option: why learners choose it and why it is or isn't the right answer here.
Line chart
Why it's wrong here
Line charts are for trends over time, not group comparisons.
Side-by-side box plot
Why this is correct
Box plots display distribution statistics for each group.
Related concept
Read the scenario before looking for a memorised answer.
Scatter plot
Why it's wrong here
Scatter plots show relationships between two variables, not distribution.
Stacked bar chart
Why it's wrong here
Stacked bars show parts of a whole, not distribution.
Common exam traps
The trap here is that candidates often confuse 'comparing distributions' with 'showing trends' or 'showing relationships,' leading them to incorrectly select a line chart or scatter plot instead of recognizing that a box plot is purpose-built for distribution comparison across groups.
Trap categories for this question
Command / output trap
Scatter plots show relationships between two variables, not distribution.
Detailed technical explanation
A box plot (also known as a box-and-whisker plot) uses the five-number summary (minimum, first quartile, median, third quartile, maximum) to graphically depict the distribution of a dataset. In a side-by-side configuration, each department's box plot is drawn on the same scale, enabling direct visual comparison of interquartile ranges, medians, and potential outliers—critical for salary equity analysis or detecting departmental pay disparities.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
A practitioner preparing for the DA0-001 exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
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FAQ
Visualizing Data — This question tests Visualizing Data — Read the scenario before looking for a memorised answer..
The correct answer is: Side-by-side box plot — A side-by-side box plot (option B) is the most appropriate visualization for comparing salary distributions across multiple departments because it displays the median, quartiles, and potential outliers for each group simultaneously. This allows the analyst to assess central tendency, spread, and skewness across all five departments in a single, compact chart.
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 24, 2026
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