Online Retail Exploratory Analysis with Python
Tracking total revenue & sales as well as top products, customers, and countries, gives us a better idea of the client's current business model.
We tracked top customer profiles, their favorite product category, and locations. Sales peaked from Sept–Dec, suggesting year-end growth:
Many of the products sold had different pricing throughout the time our data was recorded, finding the optimal price point that led to the most revenue for our top 20 products will help the company make more sales.
The data used to conduct this analysis was provided by Coursera. To see the full analysis, check out the jupyter notebook below.