E-commerce Sales Dashboard

Overview

The E-commerce Sales Dashboard is an interactive web application built using Dash and Plotly. It allows users to analyze e-commerce sales data through various visualizations, providing insights into sales performance, profit margins, and trends over time.

Project Structure

ecommerce-sales-dashboard/
├── assets/
│   └── styles.css            # CSS styles for the dashboard
├── data/
│   └── Sample - Superstore.csv  # Dataset used for analysis
├── app.py                    # Main Dash application file
├── README.md                 # Project documentation
└── requirements.txt          # List of required Python packages

Setup Instructions

1. Clone the Repository:
   Clone this repository to your local machine using:

   git clone <repository-url>
   

2. Navigate to the Project Directory:

   cd ecommerce-sales-dashboard
   

3. Install Dependencies:
   Ensure you have Python installed, then install the required packages using:

   pip install -r requirements.txt
   

4. Run the Application:
   Start the Dash application by running:

   python app.py
   

   Open your web browser and go to http://127.0.0.1:8050 to view the dashboard.

Usage Guidelines

• Use the navigation sidebar to explore different sales and profit visualizations.
• Each page provides contextual filters (such as region, category, year, or segment) to help you analyze the data.
• The dashboard updates the visualizations based on your selections.

Customization

• Modify assets/styles.css to change the appearance of the dashboard, including colors, fonts, and layout.
• You can add more data to the data/ folder and update app.py to use a different dataset if needed.

Contributing

Contributions are welcome! If you have suggestions for improvements or new features, please open an issue or submit a pull request.

License

This project