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Description

Explore customer purchasing behavior and city-based insights with this interactive E-Commerce Customer Analysis Dashboard built using Python and Streamlit. This project provides data-driven visualizations that help you understand who the top customers are and where they come from.

Installation

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Make sure you have Python 3.8 or later and a virtual environment enabled.

  1. Clone repositorty
    git clone https://github.com/Adittt17/e-commerce_public_dataset.git
  2. Go to the project directory:
    cd dashboard
  3. Activate virtual environment:
    source myenv/bin/activate  # Mac/Linux
    myenv\Scripts\activate   # Windows
  4. Install dependencies:
    pip install -r requirements.txt

Running Locally

  1. Run the dashboard with the following command:
    streamlit run dashboard.py
  2. The dashboard will be available in your browser at http://localhost:8501.

Access Deployed Dashboard

The dashboard has been deployed and can be accessed via the following link.: Data Science Salaries Dashboard

About

Explore customer purchasing behavior and city-based insights with this interactive E-Commerce Customer Analysis Dashboard built using Python and Streamlit. This project provides data-driven visualizations that help you understand who the top customers are and where they come from.

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