tracykteal
commented
1 year ago From @simonpcouch we can download the “National Data” which resulted in a zipped folder of .txt files, one for each year. The following script then combines them all into one data frame.
names <- list.files("~/Downloads/names", full.names = TRUE) names_raw <- tibble( year = basename(names), data = map(names, read_csv, col_names = c("name", "sex", "count")) ) baby_names <- names_raw %>% mutate(year = gsub("yob", "", year), year = gsub(".txt", "", year, fixed = TRUE), year = as.numeric(year)) %>% unnest(data)
We've probably done a babynames dataset before, but we could potentially do one again with the 2022 data.
https://www.ssa.gov/oact/babynames/limits.html