Exercise

Projecting sales

You'd like to be able to plan for next year's operations by projecting what sales will be, and you've gathered multipliers specific to each month and industry. These multipliers are saved in an array called monthly_industry_multipliers. For example, the multiplier at monthly_industry_multipliers[0, 0] of 0.98 means that the liquor store industry is projected to have 98% of this January's sales in January of next year.

array([[0.98, 1.02, 1.  ],
       [1.00, 1.01, 0.97],
       [1.06, 1.03, 0.98],
       [1.08, 1.01, 0.98],
       [1.08, 0.98, 0.98],
       [1.1 , 0.99, 0.99],
       [1.12, 1.01, 1.  ],
       [1.1 , 1.02, 1.  ],
       [1.11, 1.01, 1.01],
       [1.08, 0.99, 0.97],
       [1.09, 1.  , 1.02],
       [1.13, 1.03, 1.02]])

numpy is loaded for you as np, and the monthly_sales and monthly_industry_multipliers arrays are available. The monthly_sales columns in order refer to liquor store, restaurant, and department store sales.

Instructions 1/2

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  • Create an array called projected_monthly_sales which contains projected sales for all three industries based on the multipliers you have gathered.