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Visualization and ReportinghardMultiple ChoiceObjective-mapped

DA0-002 Visualization and Reporting Practice Question

A data analyst creates a bar chart to compare average customer satisfaction scores across five departments. The chart shows very tall bars for three departments and very short bars for two departments, making differences hard to assess. What is the most likely cause and the best fix?

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

The y-axis does not start at zero; reset it to zero

A bar chart's y-axis should start at zero to accurately represent proportions; a truncated y-axis can exaggerate differences between bars. Option A is wrong because grouping by region does not address the axis scaling issue. Option C is wrong because a line chart is not suitable for comparing discrete categories. Option D is wrong because 3D charts can introduce visual distortion and are not recommended.

Answer analysis

Option-by-option breakdown

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

  • The chart should group departments by region to reduce variance

    Why it's wrong here

    Grouping does not address the axis scaling issue.

  • The y-axis does not start at zero; reset it to zero

    Why this is correct

    Starting the axis at zero prevents misleading comparisons; non-zero start exaggerates differences.

  • The data should be visualized as a line chart instead

    Why it's wrong here

    Line charts are for trends, not for comparing categorical data.

  • The bar chart should be replaced with a 3D version for better depth

    Why it's wrong here

    3D charts can distort perception and are not recommended for precise comparisons.

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