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Case Study
Product demand is one important task in finance management. It allows to find the optimal order quantity for businesses to minimize logistics costs, warehousing space, stockouts, and overstock costs. The Product Demand dataset contains historical product demand for a manufacturing company. The company provides thousands of products within dozens of product categories. There are four central warehouses to ship products within the region it is responsible for. Since the products are manufactured in different locations all over the world, it normally takes more than one month to ship products via ocean to different central warehouses. If forecasts for each product in different central with reasonable accuracy for the monthly demand for month after next can be achieved, it would be beneficial to the company in multiple ways.
REQUIREMENTS:
1. Plot the categories demand.
2. Visually, demonstrate if the categories demand changed over the years.
3. Observe the top 5 products in 2014 and track their demand over the year
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