Overview
JupyterLab is your personal data science workspace and a powerful, interactive environment where you can analyze data, create visualizations, and conduct research without needing to install any software on your computer.
When you access your JupyterLab environment, you get a complete toolkit for data analysis and research that includes everything you need to get started immediately.
Contained softwares
- Interactive Notebooks: Work with live documents that combine code, visualizations, and explanatory text all in one place. These notebooks let you experiment with data, test ideas, and document your research process step-by-step.
Multiple Programming Languages: Your environment comes ready with:- Python - Perfect for data analysis, machine learning, and scientific computing
- R - Ideal for statistical analysis and advanced data visualization
- Julia - High-performance computing for complex mathematical operations
- OpenRefine Integration: Clean and transform messy datasets with an intuitive, visual interface. Perfect for preparing data before analysis or fixing inconsistencies in large datasets.
- Connected File Storage: Your JupyterLab workspace seamlessly connects to your WissKI research environments, making it easy to share files, datasets, and results between different tools in your research workflow.
Possibilities
Process cultural heritage data with specialized tools and libraries.
Prepare data for publication by cleaning, validating, and formatting your research data for sharing or integration with other systems like WissKI.
Explore and Analyze Data by uploading datasets and immediately start exploring them with interactive charts, statistical summaries, and custom analysis scripts.
Create compelling visualizations by generating publication-ready graphs, charts, and interactive visualizations to communicate your findings effectively.