DA0-002 Visualization and Reporting Practice Question
A marketing team conducted a customer satisfaction survey for five different departments (Sales, Support, Billing, Shipping, Returns). The survey asked customers to rate their satisfaction on a scale of 1 (Very Dissatisfied) to 5 (Very Satisfied). The data is ordinal and the team wants to visualize the distribution of responses for each department to quickly see which department has the most 'Very Satisfied' customers and which has the most 'Very Dissatisfied'. They also want to compare the spread of responses across departments. Which chart type should they use?
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
✓
Stacked bar chart with departments on x-axis and counts of each rating stacked
The stacked bar chart, is correct because it displays the distribution of ordinal satisfaction ratings for each department, allowing easy comparison of counts for each rating category. With departments on the x-axis and stacked segments for ratings 1-5, the team can quickly identify which department has the most 'Very Satisfied' (rating 5) and 'Very Dissatisfied' (rating 1). The stacked bars also reveal the spread of responses across departments. Option C (box plot) is less suitable because it assumes continuous interval data and does not show exact counts of each ordinal category. Option B (line chart) is for trends over a continuous axis, not categorical comparisons of distributions. Option D (scatter plot) is for relationships between two continuous variables, not for comparing response distributions.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Stacked bar chart with departments on x-axis and counts of each rating stacked
Why this is correct
Stacked bars show the full distribution of ordinal responses, highlighting proportions of top and bottom ratings.
- ✗
Line chart with departments on x-axis and average rating on y-axis
Why it's wrong here
Averages lose distribution details and line charts imply continuity.
- ✗
Box plot for each department
Why it's wrong here
Box plots are designed for continuous data, not ordinal survey scales.
- ✗
Scatter plot with department as category and satisfaction score as value
Why it's wrong here
Scatter plots are not suitable for categorical data with ordinal values.
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