This project focuses on the analysis of supermarket sales using data obtained from an Excel spreadsheet. We have utilized the Power BI application to explore and visualize the data, leveraging its functionalities such as calculated measures, averages, charts, and more.
The dataset used in this project contains detailed information about supermarket sales, including data on products, customers, sales dates, quantities sold, and prices.
. Analyze sales patterns over time. . Identify Top-selling products and purchase trends. . Evaluate sales peprformance by product category. . Discover insights to enhance sales strategy and inventory management.
. Power BI for data visualization and analysis. . Microsoft Excel for initial data manipulation.
- Archivo .pbix - Download the .pbix file to view the project in Power BI.