E-Commerce Sales Analysis

E-Commerce Sales Analysis

Project Overview

This project aims to analyze an e-commerce sales dataset using Python, Pandas, NumPy, Matplotlib, and Seaborn.

The dataset contains information about customer orders, products, sales, regions, payment methods, sales channels, and order statuses**.

The main goal of this project is to understand the company's sales performance and discover useful business insights from the data.

<h3>Project Goals</h3>

* Understand and explore the dataset.

* Clean and prepare the data.

* Analyze sales performance.

* Analyze product performance.

* Analyze customer behavior.

* Analyze regional performance.

* Analyze payment methods and sales channels.

* Use Pandas and NumPy for data analysis.

* Create visualizations using Matplotlib and Seaborn.

* Identify important business insights.

* Summarize the findings in a final conclusion.