📊 Sales Data Analysis & Visualization Project 📌 Overview This project is focused on analyzing and visualizing sales data to derive valuable business insights. The entire process includes data cleaning & transformation using Python, storing cleaned data in MySQL / Excel, and creating an interactive dashboard in Power BI to present key performance metrics. The goal is to help stakeholders make data-driven decisions based on product performance, regional sales, and overall revenue trends.
🎯 Project Objectives Import raw sales datasets and perform data cleaning & transformation.
Create a new column to calculate Total Sale Amount (Quantity × Price).
Store cleaned data in MySQL database / Excel file.
Build an interactive Power BI Dashboard for data visualization.
Provide meaningful insights for business strategy & decision-making.
🛠️ Technologies & Tools Used Python (Data Cleaning & Transformation)
Pandas, NumPy (Data Manipulation)
MySQL / Excel (Data Storage)
Power BI (Data Visualization & Dashboard)
Matplotlib / Seaborn (For optional EDA Visuals)