This project focuses on analysing the Adidas sales database to identify key insights to help improve sales performance and operational efficiency. Using Python on Jupyter Notebook, the dataset underwent cleaning to remove duplicates, null values and the removal of outliers. After it was cleaned it was converted to a database and table on SQL for queries to find out about Adidas' sales performance. I then returned to Juypter Notebook to plot some graphs to visualise the SQL queries.

This project provides valuable insights for US Adidas stakeholders on the profitability of their products and from their retailers.