DA0-001 · Question #145
A data analyst needs to create a data visualization that aids in the cumulative impact of sequentially introduced values that are positive or negative. Which of the following data visualization…
The correct answer is C. A scatter plot. To visualize the cumulative impact of sequentially introduced positive or negative values, a scatter plot can display the running total against the sequence, effectively showing the overall trend of the impact.
Question
A data analyst needs to create a data visualization that aids in 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
(17 responses)- A6% (1)
- B12% (2)
- C71% (12)
- D12% (2)
Why each option
To visualize the cumulative impact of sequentially introduced positive or negative values, a scatter plot can display the running total against the sequence, effectively showing the overall trend of the impact.
A bubble chart is used to display three dimensions of data (x, y, size) and is not primarily designed for showing cumulative impact over a sequence.
A waterfall chart is specifically designed to show how an initial value is affected by a series of intermediate positive and negative values, leading to a final total, which perfectly illustrates cumulative impact.
A scatter plot can illustrate the cumulative impact by plotting the sequential order of values on the X-axis and the running total (cumulative sum) on the Y-axis. This visualization helps an analyst observe the trend and magnitude of the cumulative impact as each positive or negative value is introduced sequentially.
A line chart is typically used to show trends over a continuous range, often time, and while it could show a cumulative trend, a scatter plot provides discrete points of cumulative impact.
Concept tested: Data visualization for cumulative trends
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