prenom_insee <- data.table::fread('./donnees/dpt2018.csv', encoding = 'UTF-8', data.table = TRUE) %>%
dplyr::transmute(
genre = data.table::fifelse(sexe == 1, 'M', 'F'),
annee = data.table::fifelse(annais == 'XXXX', 1800, suppressWarnings(as.numeric(annais))),
dpt,
prenom = stringi::stri_trans_general(preusuel, "Latin-ASCII"),
nombre
) %>%
dplyr::filter(nchar(prenom) > 1,
prenom != '_PRENOMS_RARES',
annee >= 1900) %>%
dplyr::group_by(genre, annee, dpt, prenom) %>%
dplyr::summarise(nombre = sum(nombre, na.rm = TRUE)) %>%
dplyr::ungroup(.) %>%
data.table::setDT(.)
usethis::use_data(prenom_insee, overwrite = TRUE)
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