📊 Amazon Sales Analysis

📌 Project Description

This mini project analyzes Amazon sales data using Python to extract meaningful business insights. The project focuses on data analysis, visualization, and business recommendations using real-world sales data.

🚀 Features

• Data Cleaning
• KPI Analysis
• Sales Analysis by State and Category
• Customer & Product Analysis
• Payment Method Analysis
• Monthly Sales Trend Analysis
• Business Insights & Recommendations
• Data Visualization using Matplotlib

🛠️ Technologies Used

• Python
• Pandas
• Matplotlib
• Google Colab
• Microsoft Excel
• GitHub

📂 Dataset

• Amazon Sales Dataset
• Total Records: 100,000
• Features: Orders, Customers, Products, Categories, Payment Methods, Cities, States, and Total Sales.

📊 Visualizations

• Sales by State (Bar Chart)
• Category-wise Sales (Pie Chart)
• Monthly Sales Trend (Line Chart)
• Top 10 Products by Sales (Horizontal Bar Chart)

📁 Project Structure

• Amazon_Sales_Analysis.ipynb – Google Colab notebook
• amazon.xlsx – Dataset
• README.md – Project documentation

👩‍💻 Author

Joshna Maria Joseph

B.Tech Data Science – Final Year

GitHub Repository: https://github.com/Joshnaachu/Amazon-Sales-Analysis