This repository contains materials associated with the R Shiny web app used to process registrant's information as they signed up for Ketchbrook Analytics' Model Risk Management webinar on 2021-10-27.
Check out the app in action at: https://ketchbrookanalytics.shinyapps.io/mrm_webinar_registration/
After getting frustrated with the cost and unwanted features from paid webinar hosting/registration services, I decided to do it myself via a Shiny app. This was also a chance for me to POC something that I knew I could do if I put my mind to it, but hadn't attempted yet: write out inputs from the application's UI to a cloud database.
If you want to try this yourself, you will need to do a few things first:
- Clone this repository to your local machine, and install the package dependencies in R with
renv::restore()(Note: you will need to firstinstall.packages("renv")if you do not already have the {renv} package installed) - Set up a MongoDB Atlas database, using this Getting Started Guide
- Note that you will need to ensure that the IP address of where your app lives is whitelisted by your Mongo database cluster
- Create a config.yml YAML file at the root of this repository, containing the credentials for connecting your Shiny app to your MongoDB Atlas database; you can get your credentials from MongoDB by following these instructions, and an example of what that file should look like can be found in examples/config_example.yml
- Edit the app.R script and the custom functions within the R/ directory to customize the app for your own use case
While this Shiny app is very small (app.R is barely 100 lines of code), the workhorse function that moves the data entered into the UI is called process_registration(). This function also makes up the entirety of the server-side code in the app.
One of my favorite components of the app is the stop-gap measures in place within process_registration(), which alter the message the user sees in the pop-up modal based upon whether or not they entered valid/complete data in the UI.
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