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.
Statistical & Scientific Software
| Software | Description | Best for | License |
|---|---|---|---|
| MATLAB | High-level language for numerical computation and engineering simulations | Engineering, signal processing, control systems | Proprietary (TUM License) |
| SPSS | Powerful platform for advanced statistical analysis | Social sciences, survey analysis, psychology | Proprietary |
| Minitab | User-friendly tool for quality improvement and teaching statistical concepts | Quality control, Six Sigma, education | Proprietary |
| Stata | Statistical software for data management and analysis | Economics, epidemiology, political science | Proprietary |
| JMP | Visual statistical discovery software | Experimental design, exploratory data analysis | Proprietary |
Data Visualization & Business Intelligence
These tools focus on creating interactive dashboards and reports from data, often with drag-and-drop interfaces.
| Software | Description | Best for | License |
|---|---|---|---|
| Microsoft Power BI | Tool for building interactive reports with live data refresh | Business reporting, dashboards, M365 integration | Proprietary (TUM M365) |
| Tableau | Intuitive 'drag-and-drop' interface for exploring large datasets | Data exploration, storytelling with data | Proprietary |
| Looker Studio (formerly Google Data Studio) | Free web-based dashboarding tool | Quick reports, Google ecosystem integration | Free |
| Apache Superset | Open-source business intelligence web application | Organizations preferring open-source solutions | Open Source |
Spreadsheets
- Excel: Common for quick data entry and basic analysis, but generally not recommended for complex, reproducible data pipelines due to formatting issues and lack of version control.
- Google Sheets: Web-based alternative with real-time collaboration, but shares similar limitations for research reproducibility.
When to Use What
- Quick exploration or one-off analysis: Spreadsheets, Power BI, Tableau
- Reproducible research pipelines: R or Python with version-controlled scripts
- Discipline-specific workflows: MATLAB (engineering), SPSS (social sciences), specialized tools