📄️ Overview
Research data analysis requires the right tools for the job. This section covers programming languages, statistical software, visualization tools, and documentation solutions available to TUM researchers.
📄️ Programming Languages
Programming-based approaches are the 'gold standard' for reproducibility, as every step of your analysis is documented in code.
📄️ Analytics & Visualization Software
Beyond programming languages, many researchers use dedicated software for statistical analysis, data visualization, and business intelligence. These tools often provide graphical interfaces and are well-suited for specific workflows or disciplines.
📄️ Documentation & Annotation Tools
Proper documentation of research data and experimental procedures is essential for reproducibility, collaboration, and compliance with funder requirements. TUM provides several tools to help researchers document their work systematically.