I'am facing an issue while working on nested list. I've accumulated a large list, containing 1161 rows- where each row contains a scraped tibble (with individual columns and rows).
While trying to unnest/bind_rows the result I get the error message: Can't combine ..1$Varname and ..374$Varname .
So these represent identical variblenames, that are not merge-able because of a different structure.
How can I drop, mutate, or filter these integer values to unnest or bind_rows into an unnested dataframe?
( I already tried to convert the list into a nested dataframe and work on that, but to no real success.
nested_df <- tibble(said_list, .id=names(said_list))
df1 <- unnest(nested_df, cols = c(said_list))
df = bind_rows(said_list , .id="ID")
Right now I´m stuck at running the unnest/bind_row command, which identifies one single location with integers, and deleting that single column. e.g.
said_list[[374]][4] <- NULL
Thanks in advance, this is my first post- so please let me know if you need additional code or infromations