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Introduction to R Part 2: Working with Data in R
This is Part 2 of a 2-part introductory workshop that aims to teach basic concepts, skills, and tools for working with data in R so that you can get more done in less time, and apply concepts of reproducibility to your research. This is an introduction to R designed for participants with no programming experience.
Part 1 (Wednesday, April 1, 2026) covers basic information about R syntax and the RStudio interface, including installing packages and working with vectors.
Part 2 (Wednesday, April 8, 2026) covers importing CSV files, working with dataframes, how to deal with factors, how to add/remove rows and columns using the popular dplyr package, and how to calculate summary statistics from a data frame. Taking Part 1 and Part 2 is encouraged, but optional.
Learners should bring a laptop and should already have installed R and RStudio on their computer. Installation and set-up instructions, as well as a detailed curriculum for the workshop can be found here.
Part 2
- Install packages and load libraries in R.
- Import a dataset and use tidyverse functions to explore dataset attributes.
- Create subsets of dataframes.
- Work with categorical variables in R.
- Use the dplyr package to select columns and filter rows.
- Use the dplyr package to perform various operations on a dataframe such as creating new variables, splitting and combining data, and summarizing data.
- Use pipes in R to string together a series of steps.
- Export a data set from R Studio.
- Date:
- Wednesday, April 8, 2026
- Time:
- 12:00pm - 1:30pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Location:
- Sorrells Library, Den
- Campus:
- Sorrells Library
- Audience:
- Alumni Faculty Pittsburgh community Staff Students
- Categories:
- Open Science Working With Data and Code
In-Person Workshop Information:
Directions for getting to the Den of Sorrells Library:
Sorrells Library is on the 4th Floor of Wean Hall, shown on the map here. If you enter in the front of Wean Hall, take the elevator down one floor. When you exit the elevator, the library will be on your left. The Den is in the back of the library.
Automated notetaking tools and recordings not initiated by the instructor are generally not permitted in workshops. However, participants may request permission to use approved tools, such as Zoom AI Companion, for accommodation purposes. To ensure appropriate arrangements, please submit these requests to instructors at least 24 hours prior to the workshop.
Workshops and events for Carnegie Mellon University Libraries are open to all, regardless of race, color, national origin, sex, disability, age, sexual orientation, gender identity, religion, creed, ancestry, belief, veteran status or genetic information. All participants are required to follow the Code of Conduct.
If you require accessibility accommodations, please contact the event organizer.
Organizer(s)
