For a BCG X analytics workflow, records may contain incomplete values before they are processed. Given a collection of row records and a target column name, return how many rows have a missing value in that column.
Treat a value as missing when the column is absent from a row or its value is None. Do not treat valid values such as 0, False, or an empty string as missing.
Implement count_missing_values(rows, column):
rows is a list of dictionaries, where each dictionary represents one record.column is a string naming the column to inspect.column is absent or mapped to None.def count_missing_values(rows, column):