DA0-002 Visualization and Reporting Practice Question
A business analyst wants to show the relationship between advertising spend (independent variable) and sales revenue (dependent variable) for 12 different regions. Each region will be represented by a point. Which chart type is most appropriate?
⚠ Common exam trap
Test-takers frequently confuse scatter plots with line charts, mistakenly thinking a line connecting points is needed to show a relationship, but the exam tests the understanding that scatter plots are the standard for bivariate continuous data without an inherent sequence.
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 most appropriate chart type because it directly visualizes the relationship between two continuous variables—advertising spend (independent) and sales revenue (dependent)—by plotting each of the 12 regions as a point. This allows the analyst to assess correlation, trends, and outliers, which is the core purpose of scatter plots in data visualization.
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 in sequence, implying an ordered progression between regions that does not exist, and it obscures the scatter of individual spend-versus-revenue pairs. It is tempting because it suits trends over time; it would be correct for plotting sales revenue across consecutive months.
- ✗
Bar chart
Why it's wrong here
A bar chart compares a categorical dimension against one measure, so it cannot encode two numeric variables per region as paired coordinates. It is tempting because it handles 12 regions cleanly; it would be correct for comparing each region's sales revenue side by side, not for showing correlation.
- ✓
Scatter plot
Why this is correct
A scatter plot places each region as a point on two axes, advertising spend against sales revenue, revealing correlation, clusters and outliers. It is the standard chart for showing the relationship between two continuous variables.
- ✗
Histogram
Why it's wrong here
A histogram bins a single continuous variable into frequency counts, so it cannot plot two variables per region or show correlation. It is tempting because it displays distribution shape well; it would be correct for showing how many regions fall into advertising-spend bands, not the spend-versus-revenue relationship.
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