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DA0-002 Visualization and Reporting Practice Question

A data analyst needs to visualize the relationship between advertising spend and sales revenue for 50 products. Which chart type is most appropriate?

⚠ Common exam trap

Watch out — candidates often confuse a bar chart or histogram with a scatter plot when the question involves two numeric variables, but a bar chart is designed for categorical comparisons and a histogram for single-variable distributions, not for bivariate relationships.

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 for visualizing the relationship between two continuous variables—advertising spend and sales revenue—across 50 products. It allows the data analyst to assess correlation, trends, and potential outliers by plotting each product as a point on a Cartesian plane, with advertising spend on the x-axis and sales revenue on the y-axis.

Answer analysis

Option-by-option breakdown

For each option: why learners choose it and why it is or isn't the right answer here.

  • ✗

    Histogram

    Why it's wrong here

    A histogram bins one continuous variable to show its frequency distribution, so it cannot plot spend against revenue on two axes. It is tempting because it does reveal distribution shape, and would be correct for showing how many products fall into each advertising-spend band.

  • ✗

    Bar chart

    Why it's wrong here

    A bar chart compares a measure across discrete categories, so it cannot plot two continuous variables against each other for 50 products. It is tempting because it displays values per product clearly, and would be correct for comparing total sales revenue across individual products.

  • ✗

    Pie chart

    Why it's wrong here

    A pie chart encodes parts of a single whole, so it cannot represent two separate quantitative variables for 50 products. It is tempting because it clearly shows proportional composition, and would be correct for displaying each product's share of total advertising spend.

  • ✓

    Scatter plot

    Why this is correct

    A scatter plot places advertising spend on one axis and sales revenue on the other, plotting each of the 50 products as a point. This reveals correlation, clusters and outliers between two continuous variables, which bar or line charts cannot show.

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