This involves reviewing data for errors, inconsistencies, and missing values. Poor data cleanliness can affect the accuracy of the analysis, leading to incorrect conclusions or recommendations.
This involves reviewing data for errors, inconsistencies, and missing values. Poor data cleanliness can affect the accuracy of the analysis, leading to incorrect conclusions or recommendations.