Find out the percentage of missing values in each column in the given dataset

Question

import pandas as pd
df = pd.read_csv(\'https://query.data.world/s/Hfu_PsEuD1Z_yJHmGaxWTxvkz7W_b0\')
percent= 100*(len(df.loc[:,df.isnull().sum(axis=0)>=1 ].index) / l         


        

Answer 1

import numpy as np

import pandas as pd

df = pd.read_csv('https://query.data.world/s/Hfu_PsEuD1Z_yJHmGaxWTxvkz7W_b0')

df.loc[np.isnan(df['Product_Base_Margin']),['Product_Base_Margin']]=df['Product_Base_Margin'].mean()

print(round(100*(df.isnull().sum()/len(df.index)), 2))