Amazon Sales Analysis Using Python

Project Overview

This project involves analyzing Amazon sales data to uncover insights into sales performance, customer behavior, and product effectiveness. Python was used for data extraction, manipulation, and analysis, and Power BI was used to create separate visuals showcasing the findings.

Key Areas of Analysis

• Data Loading and Preprocessing
• Sales Performance Analysis
• Customer Insights
• Order Details Analysis
• Profit Analysis

Technologies Used

• Python: For data analysis and manipulation.
• Pandas: For data handling and preprocessing.
• Power BI: For creating separate visuals.

File Structure

• Amazon_sales_project.ipynb: Jupyter Notebook containing the Python code for data analysis.
• amazon_sales_python.pbix: Power BI file containing the visuals.