Discover the importance of data completeness in maintaining data quality. Learn how missing data can impact analysis and decision-making, and ensure your data is comprehensive and inclusive.
Table of Contents
Question
An analyst is summarizing the results from a recently completed survey. The results have been validated, but the analyst notices a few rows of data are missing at the bottom. For which of the following data qualities does this present the GREATEST issue?
A. Data completeness
B. Data integrity
C. Data consistency
D. Data accuracy
Answer
A. Data completeness
Explanation
Missing rows indicate incomplete data, directly impacting data completeness. The other options, while potentially relevant, are not the primary concern in this scenario.
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