Data Consultation Walk-Ins
Every Wednesday from 1:30 – 3:00 PM, students and faculty are welcome to attend data consultation walk-ins hosted in both the Main Library, Room 300 (Digi Lab) and the McBay Science Library, Room 207.
Every Wednesday from 1:30 – 3:00 PM, students and faculty are welcome to attend data consultation walk-ins hosted in both the Main Library, Room 300 (Digi Lab) and the McBay Science Library, Room 207.
Every Wednesday from 1:30 – 3:00 PM, students and faculty are welcome to attend data consultation walk-ins hosted in both the Main Library, Room 300 (Digi Lab) and the McBay Science Library, Room 207.
Every Wednesday from 1:30 – 3:00 PM, students and faculty are welcome to attend data consultation walk-ins hosted in both the Main Library, Room 300 (Digi Lab) and the McBay Science Library, Room 207.
Every Wednesday from 1:30 – 3:00 PM, students and faculty are welcome to attend data consultation walk-ins hosted in both the Main Library, Room 300 (Digi Lab) and the McBay Science Library, Room 207.
Every Wednesday from 1:30 – 3:00 PM, students and faculty are welcome to attend data consultation walk-ins hosted in both the Main Library, Room 300 (Digi Lab) and the McBay Science Library, Room 207.
Join experts from UGA including Jessica Kissinger, Shannon Quinn, Beth Woods, and Bill Kretzschmar, and experts from LMU including Sarah Schimke and Lars Bülow to discuss Research Data Management!
Meagan Duever, GIS Librarian at UGA, will be presenting a workshop on how to get started with basic mapmaking using latitude and longitude data.
Learn how to use R for text analysis in this workshop series! This second installment will cover how to perform sentiment analysis and topic modeling. Familiarity with basic R is encouraged but not required. Attendees should come with R (www.r-project.org) and RStudio (www.posit.co/download/rstudio-desktop) pre-installed on their computers.
Learn how to use R for text analysis in this workshop series! The first installment will cover the basics of how to process outside texts and perform analyses of word and part-of-speech frequency. Familiarity with basic R is encouraged but not required. Attendees should come with R (www.r-project.org) and RStudio (www.posit.co/download/rstudio-desktop) pre-installed on their computers.
This workshop will introduce participants to processing textual data with Python, focusing on cleaning and editing texts to make them suitable for further analysis. Familiarity with basic Python is encouraged, but not required. Participants will need to have Python 3.9+ and Jupyter notebooks installed to follow along.