Also, you can read all files directly into a single dataframe using the .id
parameter to capture the filename and create the year column afterwards.
library(tidyverse)
library(stringr)
list_of_files <- list.files(pattern = ".csv$",
full.names = TRUE)
df <- list_of_files %>%
setNames(nm = .) %>%
map_dfr(read.csv2, .id = "file_name") %>%
mutate(Year = str_extract(file_name, "\\d{4}"))