[Plsgs] R labs in February

Wed Feb 1 11:51:23 MST 2023

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All sessions will be 9-11 am (MST) on Tuesday. Sessions will be offered in hybrid format: we will be in the Data Studios of the Main Library<https://new.library.arizona.edu/visit/spaces/data-studio> and running a concurrent Zoom session at https://arizona.zoom.us/j/437855363. To get the most out of these workshops, participants should bring a laptop with R and RStudio installed<https://jcoliver.github.io/learn-r/000-setup-instructions.html>.

  *   February 07: Open R lab: Bring your R questions or just come in to write some code.
  *   February 14: Git and GitHub with RStudio: Ready to stop e-mailing code to your collaborators? Want a better way of keeping track of the changes you make on your programming projects? The Git system is designed to make collaboration easier and more transparent. This lesson provides an introduction to the version control system Git, one central sharing point called GitHub, and how you can use the two in RStudio.
  *   February 21: Open R lab.
  *   February 28: Introduction to data visualization with ggplot: Want to take your data visualizations to the next level? Heard about ggplot but afraid to try? In this hands-on workshop we'll introduce the ggplot package and get started on producing publication-quality graphics.

Additional resources:

  *   A tentative schedule of upcoming workshops is also available at https://jcoliver.github.io/learn-r/schedule
  *   Even more data science events can be found on the Data Science Institute's events calendar at https://datascience.arizona.edu/calendar
  *   Want more help? Sign up for the UA Data Science Slack workspace at https://jcoliver.github.io/uadatascience-slack/
  *   Stay up to date with R workshops by signing up for the University of Arizona R Users mailing list at https://list.arizona.edu/sympa/subscribe/ruaz
  *   If you cannot make it to the R session or just want more R, check out former Data Science Ambassador<http://datascience.arizona.edu/ambassadors> Kelsey Gonzalez's lessons on YouTube at https://www.youtube.com/playlist?list=PL6FsZxVq54ERrlMRNE5aq2qUFH042fbuM.

Cheers,

Jeff

Jeffrey C. Oliver, Ph.D (he/him/his)
Data Science Specialist
Data Cooperative<https://data.library.arizona.edu/>
Research Engagement, University Libraries
University of Arizona
Tucson, AZ 85724-5079
GitHub jcoliver<https://github.com/jcoliver>
ORCID 0000-0003-2160-1086<https://orcid.org/0000-0003-2160-1086>
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