Data Cleaning With Python, Data Analysis, Dataframes Python, Marketing Analytics.
today.year - users['Birthday'].dt.year # Find instances where ages match age_equ = age_manual == users['Age'] # Find and filter out rows with inconsistent age inconsistent_age = users[~age_equ] consistent_age = users[age_equ] c. Completeness Missing data is one of the most common and most important