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E-Commerce-Analysis

This dataset contains online retail sales data for a UK-based retailer. It includes information about transactions such as InvoiceNo, Product Description, Quantity, Invoice Date, Unit Price, Customer ID, and Country. The data can be used to explore sales trends, customer behavior, and product performance.

🖥️ Project Description In this project, I performed an exploratory data analysis of e-commerce sales. The main goals were:

Analyze customer behavior

Identify top-selling products

Measure return rates

Perform RFM segmentation to categorize customers

The analysis was done using Python with Pandas, Matplotlib, and Seaborn.

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This dataset contains online retail sales data for a UK-based retailer. It includes information about transactions such as InvoiceNo, Product Description, Quantity, Invoice Date, Unit Price, Customer ID, and Country. The data can be used to explore sales trends, customer behavior, and product performance.

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