DA0-001 · Question #175
A data analyst needs to create a data visualization that aids in understanding the cumulative impact of sequentially introduced values that are positive or negative. Which of the following data…
The correct answer is B. A waterfall chart. To visualize the cumulative impact of sequentially introduced positive or negative values, a waterfall chart is the most appropriate data visualization method.
Question
A data analyst needs to create a data visualization that aids in understanding the cumulative impact of sequentially introduced values that are positive or negative. Which of the following data visualization methods should the analyst use?
Options
- AA bubble chart
- BA waterfall chart
- CA scatter plot
- DA line chart
How the community answered
(42 responses)- A2% (1)
- B88% (37)
- C5% (2)
- D5% (2)
Why each option
To visualize the cumulative impact of sequentially introduced positive or negative values, a waterfall chart is the most appropriate data visualization method.
A bubble chart displays three dimensions of data to show relationships between variables and is not designed for visualizing cumulative sequential impacts.
A waterfall chart specifically illustrates how an initial value is increased or decreased by a series of intermediate positive or negative changes, showing the cumulative effect and leading to a final value. This makes it ideal for understanding sequential contributions to a total.
Concept tested: Data visualization - waterfall chart
Source: https://support.microsoft.com/en-us/office/create-a-waterfall-chart-8de1ece4-ff21-4d37-acd7-470684d72e70
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