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#' Itemize the structure of Fude Polygon data
#'
#' @description
#' `ls_fude()` lists the year and the local government names (or codes) in
#' order to understand what is included in the list returned by [read_fude()].
#' @param data
#' List of [sf::sf()] objects.
#' @returns A data.frame.
#' @seealso [read_fude()].
#'
#' @export
ls_fude <- function(data) {
if (is.data.frame(data)) {
validate_fude(data)
x <- process_ls_data(data)
} else if (is.list(data)) {
validate_fude(data[[1]])
x <- lapply(names(data), function(i) process_ls_data(data[[i]], name = i)) |>
dplyr::bind_rows()
} else {
stop("The provided data must be either a data frame or a list of data frames.")
}
return(x)
}
validate_fude <- function(data) {
if (!"polygon_uuid" %in% names(data)) {
stop("The provided data is not Fude Polygon data.")
}
}
process_ls_data <- function(data, name = NA) {
data |>
sf::st_set_geometry(NULL) |>
dplyr::mutate(names = name) |>
dplyr::distinct(names, .data$issue_year, .data$local_government_cd) |>
dplyr::mutate(
PREF_NAME = fude::pref_code_table$pref_kanji[match(substr(.data$local_government_cd, 1, 2), fude::pref_code_table$pref_code)],
CITY_NAME = get_lg_name(.data$local_government_cd, romaji = NULL),
CITY_ROMAJI = get_lg_name(.data$local_government_cd, romaji = "title")
)
}
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