text_plain_output_1.png
import pandas as pd

train = pd.read_csv('../input/factors-affecting-campus-placement/Placement_Data_Full_Class.csv')

train.shape

def find_missing_data(data):
    Total = data.isnull().sum().sort_values(ascending=False)
    Percentage = (data.isnull().sum() / data.isnull().count()).sort_values(ascending=False)
    return pd.concat([Total, Percentage], axis=1, keys=['Total', 'Percent'])

find_missing_data(train)