Do "counts" or "unique counts" include null values in data analysis?

In data analysis, "counts" typically refer to the total number of entries in a dataset, while "unique counts" refer specifically to the number of distinct entries. When considering these terms, null values are not counted in either case.

Thus, for standard counts, if there are null values present in the dataset, they are not included in the total count of entries. Similarly, for unique counts, each distinct value is evaluated, but since null represents a lack of value, it is also excluded from this tally. This approach helps maintain accurate insights by focusing only on meaningful, present data.

Understanding that both counts and unique counts do not include null values is essential for interpreting data correctly, ensuring that analyses reflect true values and patterns in the datasets being examined.