R 2: Tidyverse and Manipulating Data
The R workshop series will introduce users to the fundamentals of using the R programming language and associated tools for the purposes of performing common data analysis tasks. The R programming language is 100% free to use and is extremely popular amongst researchers in both academia, business, and non-profits. It is especially useful for conducting statistical analysis.
This series consists of four workshops. For individuals who are new to R, coding, or data analysis, it is highly recommended that the workshops be attended in sequential order. Additionally, while these workshops are taught exclusively using code (i.e. there are no point-and-click methods), attendees do not need to have any prior experience with programming, coding, or scripting. All are welcome.
Workshop Topics
- Introduction to Tidyverse packages (emphasis on dplyr)
- Transforming and generating variables
- Handling data with missing values
- “Piping” data and data processes
Prerequisites: None.
Software Requirements for Hands-On Participation: For participants wishing to follow along with the “hands-on” portion of the workshop, please see the directions at the following url: https://research.library.gsu.edu/R/workshop.
NOTE: Please read our Workshops ~ Etiquette & Policies page for pertinent information to your workshop attendance.
Presenter: Dan Forsberg (MA, MS), Data Services Specialist with the Library's Research Data Services Team.
Contact: [email protected]
Register
A Research Data Services Workshop
We update the schedule throughout the semester, so check back to see if we have a session that works for you. You can also let us know what you are looking for by filling out our survey here. We also encourage you to check out online video training available for FREE to the university community – Linkedin Learning.
Faculty and Staff members can request custom technology workshops for departments or student groups of 4 or more. For information on submitting a request, please see our page here. You can also find information on web, video or image-based projects on our Assign Media page.