Data Cleaning With Python, Data Analysis, Dataframes Python, Marketing Analytics.
marriage_status['marriage_status'].str.lower() marriage_status['marriage_status'].value_counts() Another problem we see using the same example is : Leading or Trailing spaces: ‘married ‘ , ‘married’ , ‘unmarried’ , ‘ unmarried’ .. # Get marriage status column marriage_status =