Coming this winter the Data & Visualization Services Department will once again host a workshop series on the R programming language. Our spring offering is modeled on our well received R we having fun yet‽ (Rfun) fall workshop series. The four-part series will introduce R as a language for modern data manipulation by highlighting a set of tidyverse packages that enable functional data science. We will approach R using the free RStudio IDE, an intent to make reproducible literate code, and a bias towards the tidyverse. We believe this open tool-set provides a context that enables and reinforces reproducible workflows, analysis, and reporting.
This four-part series will introduce R as a language for modern data manipulation by highlighting a set of tidyverse packages that enable functional data science.
|Intro to R||Jan 19
1 – 3pm
|Mapping with R||Jan 25
|Reproducibility & Git||Jan 29
|Visualization with ggplot2||Jan 31
An official announcement with links to registration is forthcoming. Feel free to subscribe to the Rfun or DVS-Announce lists. Or look to the DVS Workshop page for official registration links as soon as they are available.
This workshop series is intended to be iterative and recursive. We recommend starting with the Introduction to R. Proceed through the remaining three workshops in any order of interest.
Recordings and Past Workshops
We presented a similar version of this workshop series last fall and recorded each session whenever possible. You can stream past workshops and engage with the shareable data sets at your-own-pace (see the Past Workshop resources links, above.) Alternatively, all the past workshop resource links are presented in one listicle: Rfun recap.