## code to prepare `every_laus_series_appearance` dataset goes here
laus_every_series_appearance <- bls_index_table(LAUS_PATH) |>
dplyr::select(
.data$Table
) |>
dplyr::filter(
stringr::str_detect(.data$Table,
"data")
) |>
dplyr::mutate(
Data = purrr::map(.data$Table,
~ dplyr::distinct(fetch_laus_table(.,
.data_columns),
.data$series_id))
) |>
tidyr::unnest(
cols = "Data"
)
usethis::use_data(laus_series_appearance, overwrite = TRUE)
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