Make Your R Projects Shine!

RUG member Rodrigo Basa, who returned at the last month's meetup after more than 1 year, will be teaching us the fundamentals of R Shiny with a hands-on session! With 20+ years in the software development industry specializing in Web application development, engineering, and architecture, he dabbled in R specifically for data science work despite years of using python already.

Outline:

1. Shiny overview
2. Prepare R code
3. Shiny
   3.1 Shiny one plot
   3.2 Shiny two plots
4. Dynamic UI
5. Reactive functions
6. Debugging and keeping sane

If you want to code along, these are the requirements before the session:
install.packages(c('shiny', 'dplyr', 'ggplot2', 'ggplot2movies'))

Windows users may need to install Rtools before running install.packages()

https://cran.r-project.org/bin/windows/Rtools/

Please bring a valid ID.