title: Find out the percentage of missing values in each column in the given dataset
body: <pre><code>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)&gt;=1 ].index) / len(df.index))
  print(round(percent,2))
  </code></pre>
  
  <p>input is <a href="https://query.data.world/s/Hfu_PsEuD1Z_yJHmGaxWTxvkz7W_b0" rel="noreferrer">https://query.data.world/s/Hfu_PsEuD1Z_yJHmGaxWTxvkz7W_b0</a></p>
  
  <p>and the output should be</p>
  
  <pre><code>Ord_id                 0.00
  Prod_id                0.00
  Ship_id                0.00
  Cust_id                0.00
  Sales                  0.24
  Discount               0.65
  Order_Quantity         0.65
  Profit                 0.65
  Shipping_Cost          0.65
  Product_Base_Margin    1.30
  dtype: float64
  </code></pre>