R 3: Data Visualization and Mapping (IN-PERSON)
R 3: Data Visualization and Mapping (IN-PERSON) In-Person
IN-PERSON workshop in Library North Building, Second Floor, Library Classroom 2 computer lab -- NO REGISTRATION, first 25 get a seat!
Can't make it? Watch recorded workshop: https://lib.gsu.edu/rds-recordings
GSU Data Ready! Badges Micro-Credentialing: https://lib.gsu.edu/data-ready
The R workshop series will introduce participants 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. Individuals are encouraged to attend (or watch the recording) for the “R 1: Getting Started…” workshop first; especially for individuals who are brand new to using R. The content for the remaining workshops are independent of each other and can be attended in any order.
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.
-- Creating statistical plots using ggplot2
-- Customizing plot colors, themes, labels, etc…
-- Working with GIS data to create maps
-- Modifying maps with overlays, custom aesthetics, and additional data
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(s): Josh Allen, PhD Candidate in Department of Political Science and Graduate Research Assistant with the Library's Research Data Services Team
Checkout our GSU Data Ready! Badges micro-credential courses!
Build your data skills in our workshops and receive digital micro-credential badges to show off your achievements to others.
- Thursday, November 3, 2022
- 12:00pm - 2:00pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Classroom 2, Library North 2
- Downtown Campus Library