DA0-002 Visualization and Reporting Practice Question
A data analyst needs to show the relationship between advertising spend (in dollars) and the number of website visits. Both variables are continuous. Which chart type is most suitable?
⚠ Common exam trap
The trap is confusing charts for time-series (line chart) with charts for bivariate relationships; candidates may pick line chart because both variables are continuous, but the exam expects recognition that scatter plots are for relationships between two continuous variables.
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
✓
Scatter plot
A scatter plot is the correct choice for visualizing the relationship between two continuous variables, such as advertising spend and website visits. It plots each observation as a point on a two-dimensional plane, allowing the analyst to observe correlation, trends, clusters, and outliers. This makes it ideal for bivariate continuous data analysis.
Answer analysis
Option-by-option breakdown
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
A line chart connects points along a continuous axis, implying ordered progression, so it cannot reveal correlation between two independent continuous variables. It would be correct when tracking a single measure over time, such as monthly visits.
- ✓
Scatter plot
Why this is correct
A scatter plot maps advertising spend on the x-axis and website visits on the y-axis, plotting each observation as an individual point to reveal the correlation between two continuous variables. This directly satisfies the stem’s constraint that both variables are continuous, as scatter plots are the standard chart type for visualising relationships between two quantitative measures.
- ✗
Box plot
Why it's wrong here
A box plot summarises one continuous variable's distribution through quartiles, so it cannot display the association between two continuous variables. It would be correct when comparing distributions across categories or detecting outliers within a single measure.
- ✗
Bar chart
Why it's wrong here
A bar chart plots a categorical axis against aggregated values, so it cannot show correlation between two continuous variables. It would be correct when comparing totals across discrete groups, such as visits per advertising channel.
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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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