application_vnd.jupyter.stderr_output_1.png
import pandas as pd

import pandas as pd
raw_data = pd.read_csv('../input/train.csv')

columns = raw_data.columns.tolist()
if 'Id' in columns:
    columns.remove('Id')

columns_with_null_values = []
for c in columns:
    f = c
    feature_name = str(f)
    has_null = str(any(raw_data[f].isnull().values))
    if has_null == 'True':
        columns_with_null_values.append(f)
        column_type = raw_data[f].dtype
        print('%s : %s, %s' % (feature_name, has_null, column_type))
print('\n %s/%s' % (len(columns_with_null_values), len(raw_data.columns)))