Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/ketchbrookanalytics/webinar_registration_app
https://github.com/ketchbrookanalytics/webinar_registration_app
Last synced: 3 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/ketchbrookanalytics/webinar_registration_app
- Owner: ketchbrookanalytics
- License: other
- Created: 2021-10-13T18:21:44.000Z (about 3 years ago)
- Default Branch: master
- Last Pushed: 2021-10-14T20:13:07.000Z (about 3 years ago)
- Last Synced: 2024-06-04T23:03:33.077Z (5 months ago)
- Language: R
- Homepage: https://ketchbrookanalytics.shinyapps.io/mrm_webinar_registration/
- Size: 137 KB
- Stars: 1
- Watchers: 0
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE.md
Awesome Lists containing this project
- jimsghstars - ketchbrookanalytics/webinar_registration_app - (R)
README
# Webinar Registration App
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/](https://ketchbrookanalytics.shinyapps.io/mrm_webinar_registration/)
## Purpose
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.
## Setup
If you want to try this yourself, you will need to do a few things first:
1. Clone this repository to your local machine, and install the package dependencies in R with `renv::restore()` (Note: you will need to first `install.packages("renv")` if you do not already have the [{renv}](https://rstudio.github.io/renv/articles/renv.html) package installed)
3. Set up a MongoDB Atlas database, using this [Getting Started Guide](https://docs.atlas.mongodb.com/getting-started/)
+ Note that you will need to ensure that the IP address of where your app lives is whitelisted by your Mongo database cluster
4. 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](https://docs.atlas.mongodb.com/tutorial/connect-to-your-cluster/#connect-to-your-atlas-cluster), and an example of what that file should look like can be found in [examples/config_example.yml](examples/config_example.yml)
5. Edit the [app.R](app.R) script and the custom functions within the [R/](R/) directory to customize the app for your own use case
## Under the Hood
While this Shiny app is very small ([app.R](app.R) is barely 100 lines of code), the workhorse function that moves the data entered into the UI is called [process_registration()](R/generate_modal.R#L36). This function also makes up the entirety of the [server-side code in the app](app.R#99).
One of my favorite components of the app is the stop-gap measures in place within [process_registration()](R/generate_modal.R#L36), 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.
## Want to Learn More?
Get in touch with us at [[email protected]](mailto:[email protected])! We offer R & Shiny training & education services, as well as general data science consulting.