What LaTeX is
A LaTeX table is a tabular environment: a column specification, ampersands between cells and double backslashes at the end of each row.
Academic papers, theses and anything typeset with LaTeX or written in Overleaf.
What R DataFrame is
R code that builds a data.frame from character vectors.
Statistics and R notebooks.
What changes when you convert LaTeX to R DataFrame
The tabular body is read, rules are dropped, and escaped characters are unescaped. Text wrapped in textbf or emph is reduced to the text itself.
stringsAsFactors is set to FALSE explicitly. It has defaulted to FALSE since R 4.0, but being explicit means the snippet behaves the same on older installs.
What carries over from LaTeX to R DataFrame
LaTeX records 2 things about a table that R data frame has no way to hold.
R data frame wants a type for each column, and LaTeX does not record one, so each column is typed from what its values look like. A column of digits that should stay text - a zip code, a phone number, a leading-zero id - is the usual thing to check afterwards.
LaTeX can hold a value that is itself a list or an object. R data frame has only flat cells, so nested values are flattened into one cell rather than being spread across columns.
Anything visual in the LaTeX - weight, alignment, colour, column widths - has no counterpart in R data frame and is dropped. The values are what survives.
This is the direction that recovers structure: LaTeX has no table in it to read, only an arrangement that looks like one, so the rows and columns are inferred rather than read.
The identifier 007 comes out of the R DataFrame as 007. Reading it as a number would have made it 7, and an id that changes value is worse than one that stays text.
The role "Analyst, data" survives with its comma, in one cell rather than split across two. That is the first thing to check in any converted table, and the usual place a R DataFrame file goes wrong.
The quotes around Jonah "Jo" Pryce are escaped with a backslash in the R DataFrame.