This repository provides materials for a session that is part of the I2DS Tools for Data Science workshop run at the Hertie School, Berlin in October 2023. The student-run workshop is part of the course Introduction to Data Science taught by Simon Munzert at the Hertie School, Berlin, in Fall 2023.
- Slides
- Workshop Exercises
- Workshop Exercises with solution
- Learning Material
- Learning Material with Solutions
The primary goal of this tutorial is to introduce students to the stringr and stringi packages and practice processing text data. We will start by doing an overview of text data in R, and then move onto comparing stringr to stringi. We will then work through some exercises to get practice with stringr.
- stringr Cheat Sheet
- Data-Quest course on string processing
- R for Data Science book - part on string processing
- Mastering Regular Expressions
The material in this repository is made available under the MIT license.
Daniel Boppert prepared the RMD presentation, parts of the session contents, and one-half of the recording.
Miriam Runde prepared part of the practice material (Beginner and Intermediate), parts of the session contents, and the other half of the recording.
Jackson Luckey prepared a part of the practice material (advanced) and miscellaneous components (exercises with and without solutions, alternative presentation).