Which item is in the data quality checklist?

While the number of Boolean columns can be relevant in specific contexts, it is not a standard item in most data quality checklists. Boolean columns represent binary options but do not provide insight into the overall structure and classification of the data, which is more comprehensively captured by categories or labels.

The number of date columns may be important in some datasets, particularly those involving time series data. However, it does not typically appear in a general data quality checklist, as it focuses more on the categorical aspects of the data rather than the temporal dimensions.

Similar to date columns, the number of numerical columns can provide valuable insights but is not a standard item on a data quality checklist. This metric alone does not address the completeness and organization of the data in terms of categories, which is vital for effective data quality assessment.