Veronika Batzdorfer veronika.batzdorfer@kit.edu
The open source software package R is free of charge and offers standard data analysis procedures as well as a comprehensive repertoire of highly specialized processes and procedures, even for complex applications. After providing an introduction to the basic concepts and functionalities of R, we will go through a prototypical data analysis workflow in the course: import, wrangling, exploration, (basic) analysis, reporting.
By the end of the course participants should be:
- Comfortable with using
Rand RStudio - Able to import, wrangle, and explore their data with
R - Able to conduct basic visualizations and analyses of their data with
R - Able to generate reproducible research reports using
R Markdown
| Day | Time | Topic |
|---|---|---|
| Friday | 09:00 - 10:00 | Onboarding & Getting Started with R |
| Friday | 10:00 - 10:10 | Break |
| Friday | 10:10 - 12:00 | Data Types & Loading & Data Wrangling |
| Friday | 12:00 - 13:00 | Lunch Break |
| Friday | 13:00 - 14:45 | Data Wrangling2 & EDA |
| Friday | 14:45 - 15:00 | Break |
| Friday | 15:00 - 16:00 | Data Workflows & Github |
| Friday | 16:00 - 16:10 | Break |
| Friday | 16:10 - 17:00 | Tidy Tuesday -- Group Work |
| Day | Time | Topic |
|---|---|---|
| Friday | 09:00 - 10:45 | Data Visualisation & Confirmatory Analyses |
| Friday | 10:45 - 11:00 | Break |
| Friday | 11:00 - 12:00 | Large Language Models & Wikipedia |
| Friday | 12:00 - 13:00 | Lunch Break |
| Friday | 13:00 - 14:45 | Reproducible Reporting with R Markdown |
| Friday | 14:45 - 15:00 | Break |
| Friday | 15:00 - 16:00 | Group exploration |
| Friday | 16:00 - 16:10 | Break |
| Friday | 16:10 - 17:00 | Group pitches & Wrap-up |