Exam DA0-001 topic 1 question 163 discussion

A. Data completeness The greatest issue presented by the missing rows of data is related to data completeness. Data completeness refers to the extent to which all required data is present in the dataset. In this scenario, the missing rows indicate that the dataset is not complete, which can lead to biased analyses and inaccurate conclusions if not addressed. While data integrity, consistency, and accuracy are also important data qualities, the missing rows directly impact data completeness by reducing the overall amount of data available for analysis. Ensuring data completeness is essential for reliable and meaningful analysis and decision-making.