[Plsgs] FW: R labs in October

Tue Sep 27 15:01:01 MST 2022

-----

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 04: 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 11: Open R lab: Bring your R questions or just come in to write some code.
  *   October 18: 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.
  *   October 25: Open R lab.

Note drop-in support for R and Python is always available through the Zoom link on Tuesday mornings, even on days with instructional sessions.

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>
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <https://list.cals.arizona.edu/pipermail/plsgs/attachments/20220927/08bb8ded/attachment.htm>