Write code to calculate the number of missing values in a specific DataFrame column, and outline your strategy for handling those missing values.
For grading, represent the selected column as a Python list, using None for each missing value. Return the missing-value count, then explain when to remove, impute, or flag missing entries.
def count_missing_values(column):