📊 E-commerce Sales Analysis
📌 Description
This project focuses on analyzing e-commerce sales data using Python in a Jupyter Notebook environment. The objective is to extract meaningful insights from the dataset by exploring sales patterns, customer behavior, and product performance.
🚀 Features
- Data cleaning and preprocessing
- Analysis of total sales and revenue trends
- Product-wise and category-wise performance analysis
- Identification of top-selling products
- Visualization of key insights using charts and graphs
🛠️ Technologies Used
- Python
- Jupyter Notebook
- Pandas
- NumPy
- Matplotlib / Seaborn
📈 Key Insights
- Identified high-performing products and categories
- Analyzed monthly/seasonal sales trends
- Highlighted areas with low sales performance
- Provided insights to improve business strategy
📚 Concepts Used
- Data Cleaning
- Exploratory Data Analysis (EDA)
- Data Visualization
- Statistical Analysis
🔗 Project Link
https://swayam-12345.github.io/e-commerce/