Solution :- 

import pandas as pd

sales = {‘InvoiceNo’: [1001,1002,1903,1004,1085,1006,1007],

         ‘ProductName’: [‘LCD’,’AC’,’Deodrant’,’leans’,’Books’,’Shoes’,’Jacket’],

         ‘Quantity’: [2,1,2,1,2,1,1],

         ‘Price’:[65000,55000,500,3000,958,3000,2200]}

df=pd.DataFrame(sales)

print(df)

print(“Mean price of Item:”, df[‘Price’]. mean ().round (2))

print(“Median price of Item:”, df[‘Price’]. median ().round (2))

print(“Mode of price:\n”, df[[‘Price’]]. mode ())

print(“Quartile of price:\n”,df[[‘Price’]].quantile([.1,.25,.5,.75],axis=0))

print(“Variance of Price:\n”,df[[‘Price’]].var())