Use R-Shiny to perform interactive data analysis and visualization!

Join the R-Ladies group for another tutorial on April 3, led by Rhiannon Rose. Rhiannon will show us all about using R-Shiny.

R-Shiny provides a handy interface for performing interactive data analysis and visualization, and automating analysis tasks that are boring and repetitive. Once you have the hang of the added layer of syntax, Shiny is easy and versatile - however, the learning curve can be steep in the beginning. This session covers Shiny basics: what your file setup should look like (UI, server and helper files), different types of reactive variables and when to use them, and basic debugging. Examples of simple and complex Shiny applications will be demonstrated. The "shiny" package is required to participate and code a basic Shiny application.