After having successfully run a simple R-script inside a Docker container before, we next attempt to repeat this process for entire apps built within the RShiny framework. Join me on the next step toward deploying your work done in R with the help of neat Docker containers!
To increase revenue, customers should be offered products they may need or films they might like. In this blog post, our colleague Andreas explains how to train your own movie recommender with R and provides it in a Shiny App.
Continuing our effort of applying the principles of reactivity to the UI part of a ShinyApp, this blog introduces two ways of conditionally rendering UI-elements in your app. Both presented solutions accomplish the same goal, once from the server part and once from the UI part of your application.