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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
Last synced: about 8 hours ago
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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.
- Host: GitHub
- URL: https://github.com/karankathur06/python-dashboard
- Owner: KaranKathur06
- License: mit
- Created: 2024-07-03T07:02:09.000Z (7 months ago)
- Default Branch: main
- Last Pushed: 2025-01-15T09:26:02.000Z (about 17 hours ago)
- Last Synced: 2025-01-15T11:16:41.239Z (about 15 hours ago)
- Topics: analytics, dash, dash-plotly, dashboard, data-science, data-visualization, interactive-ui, plotly, python, visualization-project, web-app
- Language: Python
- Homepage:
- Size: 661 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
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/]---
Enhance your data analysis with this interactive Python dashboard!