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https://github.com/karankathur06/python-dashboard

A dynamic Python-based dashboard for visualizing and analyzing data with interactive elements. Built using popular libraries like Plotly and Dash, designed for intuitive data exploration.
https://github.com/karankathur06/python-dashboard

analytics dash dash-plotly dashboard data-science data-visualization interactive-ui plotly python visualization-project web-app

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A dynamic Python-based dashboard for visualizing and analyzing data with interactive elements. Built using popular libraries like Plotly and Dash, designed for intuitive data exploration.

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README

        

# Interactive Superstore Sales Python Dashboard

## 🌟 Overview
The **Interactive Python Dashboard** is a powerful, user-friendly dashboard designed for data visualization and analysis. Built using Python libraries like **Dash** and **Plotly**, this project offers a dynamic platform to interact with datasets, explore insights, and generate real-time visualizations.

## ✨ Features
- **Interactive Charts**: Zoom, filter, and explore data dynamically.
- **Customizable Layouts**: Adapt the dashboard to suit your specific needs.
- **Real-Time Updates**: Seamlessly visualize data that updates in real-time.
- **Responsive Design**: Works efficiently on both desktop and mobile devices.

📁 Python-Dashboard
├── 📂 data # Example datasets
├── 📂 assets # Custom CSS and JavaScript files
├── 📂 components # Dashboard UI components
├── app.py # Main application script
└── README.md # Documentation

## 🚀 Getting Started

### Prerequisites
- Python 3.8 or later
- Pip package manager

### Installation
1. Clone the repository:
```bash
git clone https://github.com/KaranKathur06/Python-Dashboard.git
cd Python-Dashboard
```

2. Install the required dependencies:
```bash
pip install -r requirements.txt
```

3. Run the application:
```bash
python app.py
```

4. Open your browser and navigate to:
``` bassh
http://localhost:8050`
```

## 📊 Screenshots
![image](https://github.com/KaranKathur06/Python-Dashboard/assets/155360397/256479c6-b416-4735-90da-3c2b22a07191)

![image](https://github.com/KaranKathur06/Python-Dashboard/assets/155360397/317f873c-dc57-4b82-916c-fe42586065a9)

![image](https://github.com/KaranKathur06/Python-Dashboard/assets/155360397/4d239168-56a0-4c7e-a357-069eddaebaaa)

![image](https://github.com/KaranKathur06/Python-Dashboard/assets/155360397/b3c56e3a-a683-4a89-874a-db4ed79228d1)

![image](https://github.com/KaranKathur06/Python-Dashboard/assets/155360397/21f86e39-a8f6-49e3-a7a9-d3181c31bfbc)

## 📌 Usage
1. Replace the sample dataset in the `data` folder with your own data.
2. Modify the dashboard layout in the `components` folder to customize the UI.

## 🛠️ Built With
- **Dash**: A Python framework for building interactive web applications.
- **Plotly**: A graphing library for creating dynamic and interactive visualizations.
- **Pandas**: For data manipulation and analysis.

## 🙌 Contributing
Contributions are welcome!
1. Fork the repository.
2. Create a feature branch (`git checkout -b feature/YourFeature`).
3. Commit your changes (`git commit -m "Add your message"`).
4. Push to the branch (`git push origin feature/YourFeature`).
5. Open a pull request.

## 📄 License
This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.

## 🧑‍💻 Author
**Karan Kathur**
- GitHub: [KaranKathur06](https://github.com/KaranKathur06)

## 📬 Contact
Have any questions? Feel free to reach out via:
- Email: [[email protected]]
- LinkedIn: [https://www.linkedin.com/in/karan-kathur/]

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Enhance your data analysis with this interactive Python dashboard!