DA0-001 · Question #154
Given the following: Which of the following is the most important thing for an analyst to do when transforming the table for a trend analysis?
The correct answer is D. Correct the dates so they have the same format. For trend analysis, data must be sorted and compared chronologically. If date fields contain mixed formats (e.g., MM/DD/YYYY vs. DD-MM-YYYY vs. YYYY/MM/DD), the system cannot reliably sort or group records by time, making any trend analysis invalid or misleading. Standardizing…
Question
Given the following:
Which of the following is the most important thing for an analyst to do when transforming the table for a trend analysis?
Options
- AFill in the missing cost where it is null.
- BSeparate the table into two tables and create a primary key.
- CReplace the extended cost field with a calculated field.
- DCorrect the dates so they have the same format.
How the community answered
(17 responses)- A12% (2)
- B6% (1)
- D82% (14)
Explanation
For trend analysis, data must be sorted and compared chronologically. If date fields contain mixed formats (e.g., MM/DD/YYYY vs. DD-MM-YYYY vs. YYYY/MM/DD), the system cannot reliably sort or group records by time, making any trend analysis invalid or misleading. Standardizing date formats is the foundational data-cleaning step that must occur before any time-series or trend work. While filling in nulls (A) and other transformations have value, inconsistent date formats directly break the core requirement of trend analysis.
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