eCommerce Sales Data Analysis

Description

This project analyzes eCommerce sales data to uncover insights and trends that can help optimize business strategies and improve performance. The dataset includes information such as sales transactions, product details, customer demographics, and more.

Table of Contents

• Installation
• Usage
• Contributing

Installation

To run this project locally, follow these steps:

1. Clone the repository to your local machine: git clone https://github.com/mangleshwarpratap/ecommerce-sales-analysis.git
2. Install the required dependencies, Microsoft PowerBi tool for opening the dashboard.
3. Download the dataset file ecomm.csv and place it in the data directory.

Usage

Once you have installed the project and obtained the dataset, you can:

• Explore the dataset using Microsoft Excel or any other preferred data analysis tool.
• Run the provided scripts to perform various analyses such as:
  • Sales performance by product category, region, or time period.
  • Customer segmentation based on purchasing behavior.
  • Forecasting future sales trends using time series analysis.
• Visualize the results using charts, graphs, and interactive dashboards to communicate insights effectively.

Contributing

Contributions to this project are welcome! If you find any issues or have suggestions for improvements, please open an issue or submit a pull request.