[Plsgs] FW: R labs in November

Thu Oct 27 08:27:55 MST 2022

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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>.

  *   November 01: Data science: more fun, less pain with tidyverse: R is a powerful language for managing, analyzing, and visualizing complex data. However, some of the commands in R are esoteric or just plain confusing. The tidyverse (https://www.tidyverse.org/) package for R includes several helpful functions that make it easier to manipulate, summarize, and visualize your data. In this lesson we'll use these functions to create plots from summary statistics.
  *   November 08: Open R lab: Bring your R questions or just come in to write some code.
  *   November 15: Creating maps with data from the OpenStreetMap project: OpenStreetMap is a source of several geographic data that you can use for analysis and visualization. The package osmdata allows you to work with those data through R. In this workshop, we will use osmdata and associated package to investigate OpenStreetMap data and use them for geographical visualization.
  *   November 22: Open R lab.
  *   November 29: Dynamic reports with knitr: What if there was a way to include text and all the code we used for our analyses in a single document? What about a report that includes not only data visualization, but the actual code used to produce those visualizations? With RMarkdown and the knitr package, we write text and code in a single document - this way, we can update reports and manuscripts with new data or corrections with minimal effort.

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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