The purpose of this research is doing exploratory data analysis (EDA) on a public dataset from a retail store, and providing them with an annual sales report that will help them gain a deeper understanding of their customers and drive increased sales for the upcoming year. This research is done using the Python programming language through Jupyter Notebook, taking advantage of a wide range of data analysis techniques, statistical measures, and data visualization libraries. The dataset reflects the customer service-based nature of the business. It mainly contains information about customers’ profiles. Additionally, it contains some basic information about sales and overall performance of the business as a whole. This research performs retail sales analysis and examines customer behavior using exploratory data analytics (EDA) and visualization of the sales performance across different customer demographics.