61. A data analyst analyzes the data for state traffic violations within Microsoft Excel. The analyst is only interested in fines for speeding violations. How should this analyst narrow the scope of the data?
Answer: D
The analyst should filter out nonspeeding violations.
By filtering out nonspeeding violations, the analyst can focus exclusively on the data relevant to speeding fines, thereby narrowing the scope of the analysis to the specific area of interest.
A) Sort by speeding violation fines
Sorting by speeding violation fines would organize the data but would not eliminate irrelevant entries. The analyst would still have to sift through nonspeeding violations, which does not effectively narrow the scope of the data.
B) Sort by nonspeeding fines
Sorting by nonspeeding fines would not help the analyst focus on speeding violations at all. This approach would divert attention away from the desired data set, making it counterproductive for the analyst's objective.
C) Filter out speeding violations
Filtering out speeding violations would remove the very data the analyst is interested in. This option contradicts the requirement to focus on speeding fines, thus failing to meet the analyst's needs.
D) Filter out nonspeeding violations
Filtering out nonspeeding violations is the most effective method for the analyst to concentrate solely on speeding fines. This approach directly addresses the analyst's intent to narrow the data scope to only the relevant speeding violation fines.
Conclusion
Filtering out nonspeeding violations allows the analyst to isolate the data pertaining to speeding fines, fulfilling the requirement of narrowing the analysis. Other options either misdirect the focus or fail to filter out irrelevant data, making them ineffective for the analyst's specific needs.