Investigate and invalid or missing (NaN) data and deal with it code example

Example: how to check missing values in python

# Total missing values for each featureprint df.isnull().sum()Out:ST_NUM          2ST_NAME         0OWN_OCCUPIED    2NUM_BEDROOMS    4