Data Cleaning With Python, Data Analysis, Dataframes Python, Marketing Analytics.
compare it with the ‘state’ column values : categories print(survey['state'].unique()) # For each correct category for state in categories['state']: # Find potential matches in states with typoes matches = process.extract(state, survey['state'], limit = survey.shape[0]) # For each potential match