Exam DA0-001 topic 1 question 32 discussion

Uh, assuming there are no other months in the table! Otherwise, "February" would be converted

C. Filter on any of the responses that do not say “January” and update them to “January”. To ensure data consistency, it is important to standardize the responses. In this case, the analyst should filter on any responses that do not say “January” and update them to “January” to make sure all responses for the month of January are consistent. This will make it easier to analyze the data and avoid confusion or misinterpretation of the results. The other options (A, B, and D) may not be the best approach as deleting responses, replacing responses with a different value, or sorting and updating the responses may lead to a loss of information or a misinterpretation of the results. It is important to retain as much data as possible while also ensuring that the data is consistent and accurate.

C. To ensure data consistency, it is important to ensure that all data values in a given column are expressed in the same way. In this case, the analyst has noticed that respondents entered "Jan," "January," and "01" as responses for the month of January. To ensure data consistency, the analyst should filter on any of the responses that do not say "January" (i.e. "Jan" and "01") and update them to "January." This will ensure that all responses for the month of January are expressed in the same way and that the data is consistent. The other options (delete any responses that do not have "January" written out, replace any responses that have "01," or sort any responses that say "Jan" and update them to "01") are not as effective at ensuring data consistency, as they do not ensure that all responses for the month of January are expressed in the same way.