What information does the audit report show for Flag fields in a data audit?

An audit report for Flag fields typically provides insights into the data's characteristics, including the number of unique values present. Flag fields are categorical variables that usually represent binary or Boolean values, such as 0 or 1, true or false, or yes or no. Understanding the number of unique values helps in assessing the distinct categories captured in the data, which is crucial for evaluating the integrity and quality of the dataset.

In the context of a data audit, knowing how many unique values exist allows analysts to identify any anomalies or unexpected entries, ensuring the flag fields function as intended. For fields designated as flags, the focus tends to be more on how many different states they can take on rather than on numerical statistics like averages or deviations, which are more applicable to continuous numerical data.