Sales Data Analysis and Visualization Using Python, Sql, and Power Bi

This paper presents the design and implementation of Sales Data Analysis and Visualization is a project developed to analyze sales data and present meaningful information through charts, graphs, and dashboards.The main purpose of this project is to help users understand sales performance, identify top-performing products, and analyze monthly sales trends.Traditional methods of sales analysis often require manual calculations and report preparation, which can be time-consuming.This project provides a systematic approach to processing and visualizing sales information.The frontend of the system is developed using React.js,while Python is used for backend processing and data analysis.SQL is used to store and manage sales records.Matplotlib is used to generate charts and graphs, and Power BI is used to create interactive dashboards.These technologies work together to organize sales information and present analytical results in an understandable format.The system focuses on analyzing total sales, product-wise sales, and monthly salesperformance.The visual representations help users identify patterns and compare sales results more easily.This project demonstrates how data analysis and visualization tools can support business decision-making and improve the understanding of sales information.The system focuses on analyzing total sales, product-wise sales, and monthly sales performance.Data preprocessing techniques can be used to identify missing values, remove duplicate records, and improve data quality before analysis.