Creating R-Shiny Applications & Dashboards

Our “Creating R-Shiny Applications & Dashboards” training series continues this Friday, February 21! If you haven’t registered yet, there’s still time to join this hands-on journey into interactive data visualization.

Attendees from Session one must register for sessions 2-6

This six-session series will cover:

  • The fundamentals of R-Shiny
  • Build engaging dashboards and interactive tables
  • Visualize data effectively with R-Shiny
  • Hosting and deploying Shiny apps
  • Control data access and permission
  • Automate reports with R Markdown

Second Session: This Friday, February 21, 2025

Time: 1:00 p.m. – 2:30 p.m. ET 

Before joining the session, please ensure that RStudio is installed on your computer. You can download it here: https://posit.co/products/open-source/rstudio/

At the beginning of the session, we will spend the first 15 minutes reviewing some useful R concepts as a refresher. However, if you’d like to brush up on your R skills beforehand, you can check out this resource: https://r4ds.hadley.nz/

Pre-Installation of R Packages

To ensure a smooth experience, please pre-install the following R packages before the session. You can do so by running the code below in R:

packages_to_install = c(“shiny”, “dplyr”, “ggplot2”, “plotly”, “DT”, “shinyWidgets”, “shinythemes”, “htmltools”, “leaflet”, “sf”, “tigris”)
# Install all packages
lapply(packages_to_install, install.packages)
 
 

Session Materials:

https://github.com/rashmead/JIRN_Rshiny_Materials/tree/main

 

Session One Recording:

Did you miss a session or want to review it before the next session? You can watch the recordings on our YouTube Channel. 

Session One: https://www.youtube.com/watch?v=W4nmxmmGpas
Session Two: https://www.youtube.com/watch?v=S63sKPg40V0

You can access the materials for the first session here: GitHub – rashmead/JIRN_Rshiny_Materials: Slides and examples for JIRN R-Shiny Dashboard Webinar Sessions

We look forward to seeing you at the training!