In this project, I use a sample of a company's monthly sales dataset for 1 year (January 2019 - December 2019) in a distinct (.csv) file and contain product name, price, quantity sold, order date, and purchase address.
I analyze and visualize the data based on basic business questions and analyze the behavior of the customer of the company.
I found that there is a rise in sales at particular hours and concluded that these particular hours were the best time to advertise the products. Then, I found that there are some particular products that are sold together. Also, there are several cities with low market penetration.
This project is inspired by Keith Galii video (Link)
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Analyze monthly sales of an e-commerce.
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