📊 Superstore Sales Dashboard

This project is an interactive web application built with Dash (Plotly + Flask) to visualize and explore sales data from a fictional superstore. It provides dynamic filters by ship mode, customer segment, state, month, and weekday.

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📁 Project Structure

python_project_spring_2025/
├── dash_app.py # Main Dash app file
├── components.py # Layout components and charts
├── data.py # Data loading and processing class
├── data/
│ └── Superstore.csv # Original dataset
├── assets/
│ └── styles.css # Custom styles (if any)
│ └── icon.png
└── README.md # Project documentation

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🚀 How to Run the App

1. Clone the repository

git clone https://github.com/Leonel-M/python_project_spring_2025.git 

cd python_project_spring_2025

2. Create a virtual environment (optional but recommended)

python -m venv .venv
.venv\Scripts\activate    # On Windows
Or on macOS/Linux:
source .venv/bin/activate

3. Install the required dependencies

pip install -r requirements.txt

4. Run the application

python dash_app.py The app will be available at: http://127.0.0.1:8050

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🧠 Features

Shipping time statistics

Interactive filters for multiple fields Dynamic plots: histograms, bar charts, pie charts, and maps Clean layout and modular design

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📷 Screenshot

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📦 Requirements

Python 3.8+ Dash Plotly Pandas

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✍️ Author

Leonel Márquez LinkedIn Email: leonel.amarquez92@gmail.com

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📜 License

This project is licensed under the MIT License.