jsonlite | A Robust , High Performance JSON Parser and Generator for R | JSON Processing library

I'm new to JSON data and am having a bit of trouble trying to get my data into a combined data frame common to data frames in R. Here is an example of the JSON data:

I'm at the final stage of tidying my data before analysis and have encountered an issue i'm not really able to understand when removing whitespace in the data table. See complete code below for description of the steps in the code.

Started from the following page (How to remove all whitespace from a string?) and have attempted to troubleshoot through other pages talking about errors/warning with atomic vectors without luck.

At step 6 I recieved the flowing warning

I am new to scraping and have successfully scraped tables from these websites:-

I was given a pretty big json file that looks like this minimal example:

I want to convert a feature file to json so that I can pass it to a javascript function in an RMD file.

However, the toJSON function seems to flatten it and remove many of the fields and structures as below. How can I convert it and keep it in tact, as it does if I write to a file using sf::st_write?

I have a large labelled SPSS file, it has about 800 variables and contains all metadata , label , value , variable. I am looking for a way to write it as json formt without losing the variable txt, label and value.

Here a sample dummy data:

So I have the following data. In this dataframe I have a username, date, and a list of packages. My goal is to transform that column packages into a format I can analyze.

This question has been asked before, but didn't get an answer since it didn't have a reprex, so let me give it a go.

Lets say I have two datasets that span different date ranges. I want to control the visualization of each using a slider. The following reprex will create the visual directly below.

There is a string: s <- '[[1,2,3],[2,5,6]]'

I use package jsonlite to: