Microsoft Azure Data Fundamentals DP-900 Practice Question
You need one Power BI visual that lets business users quickly see how each product category contributed to total revenue in the last quarter. Precise numbers are not required; the focus is on comparing the proportion of the whole that each category represents. Which visualization type should you choose?
A donut (doughnut) chart is specifically designed to show how individual parts contribute to a whole at a single point in time. Each segment's arc length is proportional to its share of the total, making it easy for users to compare categories and understand their relative importance without focusing on exact values.
A 100 percent stacked column chart can also display part-to-whole relationships, but it generally emphasizes changes across multiple categories or periods and is less intuitive when there is only one period to show. A line chart highlights trends over time rather than composition at a single point. A gauge is intended for tracking progress toward a single target, not for comparing multiple categories simultaneously. Therefore, the donut chart is the most appropriate choice in this scenario.
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Why is a donut chart better than a 100 percent stacked column chart for this scenario?
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What is the key advantage of a donut chart compared to other chart types for part-to-whole comparisons?
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When is it more appropriate to use a line chart instead of a donut chart?
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Microsoft Azure Data Fundamentals DP-900
Describe an analytics workload
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