Supermarket Sales Dataset

This dataset contains detailed records of supermarket sales transactions collected from three different branches located in major cities. It includes essential business attributes such as customer type, product line, payment method, total sales, tax, and customer ratings. The data provides valuable insights into the retail business environment and customer purchasing behavior during a specific period.

This dataset is ideal for exploratory data analysis (EDA), data wrangling, and business analytics. It can be used to explore various aspects of sales performance, customer demographics, purchasing patterns, and the relationship between product categories and revenue. Analysts and learners can also investigate how factors like gender, membership type, and payment methods influence total spending and satisfaction levels.

In addition, it serves as a strong foundation for applying machine learning techniques — such as predicting customer ratings, clustering buying patterns, or forecasting future sales trends. The dataset is well-structured, easy to interpret, and suitable for academic, research, and training purposes.

This dataset is open-source and free to use for educational, analytical, and non-commercial applications.

Global Travel Retail Market size was valued at USD 113.97 billion in 2022 and is poised to grow from USD 124.66 billion in 2023 to USD 255.41 billion by 2031, growing at a CAGR of 9.38% in the forecast period (2024-2031).

This graph represents, among different sectors of activity in France, the share of companies that processed orders of goods or services via a website or mobile application in 2018. For the retail trade sector, about 33 pecent of companies processed online orders in France in 2018, followed by 32 percent of companies in the accomodation and food service sector.