Hey R-People! This post will look at GitHub’s Copilot and how we can leverage it for our R Shiny development. We will learn how to integrate the AI-powered coding assistant into our IDE. We can not (yet) use our beloved RStudio IDE for this, but we will show how you can do it in Visual …
Leveraging GitHub Copilot for Efficient R (Shiny) Programming Read More »
In this blog post, we will explore the different ways to load data into R Shiny applications. Uploading data from the user interface: One of the easiest ways to load data into a Shiny application is to allow users to upload their own data files. Shiny provides the fileInput function, which allows users to select …
Plots in your application can give a great overview of events and allow you to observe characteristics like trends or seasonalities. However, often people reading these graphs want to dig deeper after the first glance. In your app, you can use Plotly’s event data to trigger filtered plots or tables with one click. Let’s see …
Shiny modules help you break down more complex applications into manageable bits. In this post, I will give you a short intro and an example of how you can use modules in your application.