[Plsgs] Fwd: R labs in October

Mark A Beilstein mbeilstein at arizona.edu
Wed Sep 27 12:33:44 MST 2023


Hi All,

Please see information below about upcoming R labs.

*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>.

   - October 03: *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.
   - October 10: *Open R lab*: Bring your R questions or just come in to
   write some code.
   - October 17: *Open R lab*.
   - October 24: *Open R lab*.
   - October 31: *Heatmaps & data wrangling*: Heatmaps are a great way of
   displaying three-dimensional data in only two dimensions. But how can we
   easily translate tabular data into a format for heatmap plotting? By taking
   advantage of “data munging” and graphics packages, heatmaps are relatively
   easy to produce in R.

Additional resources:

   - A tentative schedule of upcoming sessions 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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