Shiny offers the ability to implement interactive interfaces to R code. The framework gained a lot of traction in recent years, and is used to create a wild variety of dashboards.
While many shiny applications run on servers, recent additions make it possible to include interactivity in R notebooks and R Markdown documents, build interfaces into packages or distribute them as github repositories.
In this course we cover the basics of Shiny and reactive programming, the paradigm on which shiny is built.
This course is part of a larger course series in Data Analysis consisting of 19 individual modules. Find more information and enroll for this module via www.ipvw-ices.ugent.be
We cover the following topics:
Participants will have ample opportunity to practice hands-on the concepts learnt.