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Scenario

Retail Sales Forecasting

๐Ÿ“‹ Context

You have monthly sales data for a retail store over 12 months. You need to analyze trends, calculate moving averages, and identify the best/worst months.

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Step 1: Sales Data

๐ŸŽฏ Task

Create monthly_sales with these values (Jan-Dec):
[45000, 42000, 48000, 51000, 55000, 62000, 58000, 61000, 53000, 49000, 68000, 75000]
Create months from 1 to 12 using np.arange.

np.array([45000, ...]) and np.arange(1, 13)
exercise.py
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โ–ถ Output
Run your code to see output here.