Advanced R: Working with Data Frames
Workshop 20 - Winter Semester 2025-26
Overview
This workshop focused on practical data wrangling in R using data frames and the tidyverse, with an emphasis on working through real examples together.
Learning Objectives
- Use
dplyrverbs confidently for filtering, selecting, mutating, and summarizing data - Understand core data wrangling workflows with pipes
- Practice reshaping and cleaning tabular data with
tidyr - Compare different learning resources for continuing with data frame work in R
Topics Covered
- Core
dplyrworkflows for data wrangling - Data transformation pipelines with the pipe
- Reshaping and tidying data with
tidyr - Guided discussion of example-driven learning materials
Prerequisites
- Basic R programming skills
- Familiarity with data frames
- Basic tidyverse knowledge recommended
Materials
- Elen Le Foll: Data Wrangling chapter draft
- DataCamp: Intermediate R
- Data Carpentry: Starting with Data
Host
Job Schepens
Project S, SFB 1252
University of Cologne
Originally scheduled with Luke Günther; hosted by Job Schepens for this session.
Session Details
Date: 15 April 2026
Time: 14:00 - 15:30
Location: House of Prominence, Attic, Luxemburger Str. 299, Cologne
Online: Zoom