rlang | Low-level API for programming with R

I've written a function which takes symbol as input and then is converted to a quosure by enquo() then evaluated in tidyverse functions by the !! operator. A simplified version of the function is as follows (the full function returns a dataframe and does more instead of just calculating a number but just for illustration purposes it should suffice):

I'm working on making a function to create tables and I need to have some conditional rules involved for formatting. One will be based on a column name, however when I send it down using as.formula it seems to be over doing it. I've made an example here:

The objective of my code is to scrape the information in the Characteristics tab of the following url, preferably as a data frame

I just noticed that read_csv() somehow uses random numbers which is unexpected (at least to me). The corresponding base R function read.csv() does not do that. So, what does read_csv() use the random numbers for? I looked into the documentation but could not find a clear answer to that. Are the random numbers related to the guess_max argument?

I want to call filter(df, col_name == value) such as filter(mpg, hwy == 27), but

I would like to create a loop in which the index is given by the column names of a dataframe. The idea is to select one column at a time and create a map based on the data in that column. I need i being the column name, as it identifies the name of the variable and I'll use that as part of the title of the map. However, I do not seem to be able to associate my index i to the name of the column. My code goes as follows:

Using reduce(bind_cols), the list elements of same dimension may be combined. However, I would like to know how to combine only same dimension (may be specified dimesion in some way) elements from a list which may have elements of different dimension.

I'm trying to create a toy R REPL written in R (here's the source code). Ideally I'd like the REPL to run in an R terminal itself, but neither to interfere nor to depend on anything that has already been evaluated at the global environment. Unfortunately, I haven't been able to do come up with a solution to this problem yet. One of the main challenges I'm facing refers to how package environments are attached.

According to Hadley's Advanced R, packages attached by library() and require() become parents of the global environment. This implies, however, that if I attach a package inside my toy REPL it will become the parent of the global environment even I'm not running it on the global environment.

For example (please note that the R> prompt is the "normal" R terminal, and that >>>> is my REPL's "terminal"):

I am new to using json in r and wanted to create map using data from it but so far I am unable to bring it to usable data structure format.

This is what I have tried: