Data Wrangling and Basic Statistics in R Programming In-Person / Online
The second of a three-part Intro to R programming workshop series. Build on the basics as you learn how to inspect, reshape, and prepare datasets for powerful analysis and visualization. In this hands-on session, you’ll:
• Use the tidyverse library to subset, merge, and export data
• Transform large datasets into workable formats
• Apply basic statistical functions to summarize data and test hypotheses
No prior programming experience is required, though attending (or reviewing) Workshop 1 on navigating RStudio is recommended. Set up a free online Posit Cloud account (https://posit.cloud) in advance. You can bring your own laptop or use a provided desktop.
Related LibGuide: R Programming by Elaine Yeung
- Date:
- Thursday, April 16, 2026
- Time:
- 1:00pm - 2:00pm
- Time Zone:
- Pacific Time - US & Canada (change)
- Location:
- Leatherby Libraries - Instruction Room 305
- Campus:
- Orange Campus
- Audience:
- Orange Campus Faculty Orange Campus Graduate Students Orange Campus Staff Orange Campus Undergraduate Students Rinker Campus Faculty Rinker Campus Students
- Categories:
- Research and Data Services (RDS)
