E_commerce_Dataset_Analysis

Project Overview

This project performs Exploratory Data Analysis (EDA) on a synthetic e-commerce dataset to uncover key business insights such as sales trends, customer behavior, and revenue distribution.
It demonstrates practical use of Python, Pandas, NumPy, Matplotlib, and Seaborn in a data analysis workflow — from data loading and cleaning to visualization and summary reporting.

Key Objectives

• Handle missing values and detect data types
• Summarize and visualize sales, revenue, and product performance
• Identify outliers using boxplots and histograms
• Generate actionable insights for decision-making

Tools Used

• Google Colab
• Python (Pandas, NumPy)
• Matplotlib, Seaborn