A collection of interactive data visualization projects built with JavaScript and popular charting libraries. This repository showcases various techniques for visualizing data in creative and engaging ways.
This repository contains multiple data visualization examples and demonstrations, each focusing on different aspects of data representation and user interaction. All projects are built using modern web technologies and are designed to be educational and easily extensible.
Location: examples/image-pixel-color-graph/
An interactive web application that analyzes and visualizes the RGB color distribution of image pixels in real-time.
Features:
- Real-time pixel color detection on mouse hover
- Dynamic visualization using multiple chart types (Bar, Radar, Pie, Polar Area)
- Live RGB value display
- Hex color code generation
- Interactive chart type switching
Technologies: HTML5 Canvas, JavaScript, Chart.js
DataVisualization/
├── examples/ # Example projects and demonstrations
│ └── image-pixel-color-graph/ # Image pixel color visualization
│ ├── index.html # Main HTML file
│ ├── script.js # JavaScript logic
│ ├── style.css # Styles
│ ├── img.jpg # Sample image
│ └── README.md # Project-specific documentation
├── assets/ # Shared assets (images, data files)
└── README.md # This file
- JavaScript (ES6+): Core programming language
- Chart.js: Powerful and flexible charting library
- HTML5 Canvas: For image manipulation and rendering
- CSS3: Styling and layout
Each project can be run independently. To get started with any example:
-
Clone the repository
git clone https://github.com/theQuarky/DataVisualization.git cd DataVisualization -
Navigate to the desired example
cd examples/image-pixel-color-graph -
Open in browser
- Simply open the
index.htmlfile in your web browser - Or use a local server for better experience:
# Using Python 3 python -m http.server 8000 # Using Node.js npx serve
- Simply open the
-
Access the application
- Direct file: Open
file:///path/to/index.html - Local server: Visit
http://localhost:8000
- Direct file: Open
- Learning: Understand how data visualization works with practical examples
- Education: Teaching tool for data visualization concepts
- Prototyping: Starting point for custom visualization projects
- Experimentation: Test different visualization techniques and libraries
Contributions are welcome! If you have ideas for new visualization projects or improvements to existing ones:
- Fork the repository
- Create a feature branch (
git checkout -b feature/amazing-visualization) - Commit your changes (
git commit -m 'Add amazing visualization') - Push to the branch (
git push origin feature/amazing-visualization) - Open a Pull Request
This project is open source and available under the MIT License.
theQuarky
- GitHub: @theQuarky
Give a ⭐️ if you find these projects helpful or interesting!
Note: All projects are for educational purposes. Feel free to use, modify, and learn from them!