25.Create a data frame based on e-commerce data and generate descriptive statistics (mean, median, mode, quartile, and variance
25.Create a data frame based on e-commerce data and generate descriptive statistics (mean, median, mode, quartile, and variance. 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()) Output :-