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

The solution you're looking for is :

round(df.isnull().mean()*100,2) 

This will round up the percentage upto 2 decimal places

Another way to do this is

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

but this is not efficient as using mean() is.