reactlog | Easier debugging with the Shiny reactive log | Data Visualization library

I am in the process of creating a shiny app for a process at work and am struggling to figure something out on the UI side of the app. I would like to display a data table next to a sidebar menu containing options for the app. The issue is that when I do so, the data table is pushed down below the sidebar panel instead of beside it (see the original data tab).

I found a work around as seen in the suggested tab, but that comes with its own issues. I need to be able to lock the column headers while scrolling through the app and when the data table is inside the box element, I am unable to find a way to do so.

Here is the code to a simplified version of the app.

I'm trying to render UI from code input through shiny modules. But I'm not able to figure out why it's not working. There are no errors, so it is hard to understand where the reactivity is breaking.

Code

I'm trying to use validate in R shiny to prevent outputs from showing when they shouldn't be. When a validated reactive is used in creating an input inside a uiOutput and the validation throws an error, this error does not get passed on to a depending reactive or output.

Reading https://shiny.rstudio.com/articles/validation.html and using reactlog has me thinking that the issue lies in the generated input not depending on the validated reactive. The article states:

Shiny will: [...] pass a validation error to any reactive expression or observer object that depends on it

I'm unsure what an input inside a uiOutput really is, but I suspect it's neither a reactive expression nor an observer.

Consider the following example:

I get errors of not finding the React/reactLog.h file and more files from various react native libraries.

Have tried cocapods and it says it is installing, but it seems as if it's not installed in any libraries.

The error is:

'FBSDKSharekit/FBSDKSharekit.h' file not found

I have to create a prototype map based dashboard for a project. I decided on R shiny, as it had the best data management for my data, and easy to use. I use Leaflet in combination with Rshiny. After creating the map, it gets updated at certain intervals and recreates the map with new data (kind off batch real time). The data will be quite a lot, but is still manageable on a leaflet application.

I write small example