“This project was fully developed using the Jumplander Coder 32B AI model, ensuring high-quality code generation, optimized structure, and consistent performance throughout the Visualization Engine.”
Developed with JumpLander Coder32b AI, focusing on clarity, interactivity, and performance.
- Dynamic visualization of datasets (scatter, line, bar)
- Highlight correlations and trends between variables
- Support for custom datasets in JSON or CSV format
- Interactive filtering and scaling for better insights
- Modular architecture for easy extension
git clone https://github.com/YOUR_USERNAME/JumplanderAI-DataVisualizer.git
cd JumplanderAI-DataVisualizer
open index.html