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

Update let's use mean with isnull:

df.isnull().mean() * 100

Output:

Ord_id                 0.000000
Prod_id                0.000000
Ship_id                0.000000
Cust_id                0.000000
Sales                  0.238124
Discount               0.654840
Order_Quantity         0.654840
Profit                 0.654840
Shipping_Cost          0.654840
Product_Base_Margin    1.297774
dtype: float64

IIUC:

df.isnull().sum() / df.shape[0] * 100.00

Output:

Ord_id                 0.000000
Prod_id                0.000000
Ship_id                0.000000
Cust_id                0.000000
Sales                  0.238124
Discount               0.654840
Order_Quantity         0.654840
Profit                 0.654840
Shipping_Cost          0.654840
Product_Base_Margin    1.297774
dtype: float64