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Exercise

Sales totals

The dataset you'll be working with during this chapter is one year's sales data by month for three different industries. Each row in this monthly_sales array represents a month from January to December. The first column has monthly sales data for liquor stores, the second column has data for restaurants, and the last column tracks sales for department stores.

array([[ 4134, 23925,  8657],
       [ 4116, 23875,  9142],
       [ 4673, 27197, 10645],
       [ 4580, 25637, 10456],
       [ 5109, 27995, 11299],
       [ 5011, 27419, 10625],
       [ 5245, 27305, 10630],
       [ 5270, 27760, 11550],
       [ 4680, 24988,  9762],
       [ 4913, 25802, 10456],
       [ 5312, 25405, 13401],
       [ 6630, 27797, 18403]])

Your task is to create an array with all the information from monthly_sales as well as a fourth column which totals the monthly sales across industries for each month.

numpy is loaded for you as np, and the monthly_sales array is available.

Instructions 1/2

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  • Create a 2D array which contains a single column of total monthly sales across industries; call it monthly_industry_sales.