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#' Download data on local election coalitions in Brazil
#'
#' \code{legend_local()} downloads and aggregates the party denomonations (coalitions or parties) from the local elections in Brazil,
#' disaggregated by cities. The function returns a \code{data.frame} where each observation
#' corresponds to a city.
#'
#'
#' @param year Election year. For this function, only the years 2008, 2012 and 2016
#' are available.
#'
#' @param uf Federation Unit acronym (\code{character vector}).
#'
#' @param ascii (\code{logical}). Should the text be transformed from Latin-1 to ASCII format?
#'
#' @param encoding Data original encoding (defaults to 'Latin-1'). This can be changed to avoid errors
#' when \code{ascii = TRUE}.
#'
#' @param export (\code{logical}). Should the downloaded data be saved in .dta and .sav in the current directory?
#'
#' @param temp (\code{logical}). If \code{TRUE}, keep the temporary compressed file for future use (recommended)
#'
#' @details If export is set to \code{TRUE}, the downloaded data is saved as .dta and .sav
#' files in the current directory.
#'
#' @return \code{legend_local()} returns a \code{data.frame} with the following variables:
#'
#' \itemize{
#' \item DATA_GERACAO: Generation date of the file (when the data was collected).
#' \item HORA_GERACAO: Generation time of the file (when the data was collected), Brasilia Time.
#' \item ANO_ELEICAO: Election year.
#' \item NUM_TURNO: Round number.
#' \item DESCRICAO_ELEICAO: Description of the election.
#' \item SIGLA_UF: Units of the Federation's acronym in which occurred the election.
#' \item SIGLA_UE: Units of the Federation's acronym (In case of major election is the FU's
#' acronym in which the candidate runs for (text) and in case of municipal election is the
#' municipal's Supreme Electoral Court code (number)). Assume the special values BR, ZZ and
#' VT to designate, respectively, Brazil, Overseas and Absentee Ballot.
#' \item NOME_UE: Electoral Unit name.
#' \item CODIGO_CARGO: Code of the position that the candidate runs for.
#' \item DESCRICAO_CARGO: Description of the position that the candidate runs for.
#' \item TIPO_LEGENDA: It informs it the candidate runs for 'coalition' or 'isolated party'.
#' \item NUM_PARTIDO: Party number.
#' \item SIGLA_PARTIDO: Party acronym.
#' \item NOME_PARTIDO: Party name.
#' \item SIGLA_COLIGACAO: Coalition's acronym.
#' \item CODIGO_COLIGACAO: Coalition's code.
#' \item COMPOSICAO_COLIGACAO: Coalition's composition.
#' \item SEQUENCIAL_COLIGACAO: Coalition's sequential number, generated internally by the electoral justice.
#' }
#'
#' @seealso \code{\link{legend_fed}} for federal elections in Brazil.
#'
#' @import utils
#' @importFrom magrittr "%>%"
#' @export
#' @examples
#' \dontrun{
#' df <- legend_local(2000)
#' }
legend_local <- function(year, uf = "all",
ascii = FALSE,
encoding = "latin1",
export = FALSE,
temp = TRUE){
# Test the input
test_encoding(encoding)
test_local_year(year)
uf <- test_uf(uf)
if(year > 2004){
filenames <- paste0("/consulta_legendas_", year, ".zip")
dados <- paste0(file.path(tempdir()), filenames)
url <- "https://cdn.tse.jus.br/estatistica/sead/odsele/consulta_legendas%s"
# Downloads the data
download_unzip(url, dados, filenames, year)
# remover temp file
if(temp == FALSE){
unlink(dados)
}
# Cleans the data
setwd(as.character(year))
banco <- juntaDados(uf, encoding, FALSE)
setwd("..")
unlink(as.character(year), recursive = T)
# Change variable names
names(banco) <- c("DATA_GERACAO", "HORA_GERACAO", "ANO_ELEICAO", "NUM_TURNO", "DESCRICAO_ELEICAO",
"SIGLA_UF", "SIGLA_UE", "NOME_MUNICIPIO", "CODIGO_CARGO", "DESCRICAO_CARGO",
"TIPO_LEGENDA", "NUMERO_PARTIDO", "SIGLA_PARTIDO", "NOME_PARTIDO", "SIGLA_COLIGACAO",
"NOME_COLIGACAO", "COMPOSICAO_COLIGACAO", "SEQUENCIAL_COLIGACAO")
# Change to ascii
if(ascii == T) banco <- to_ascii(banco, encoding)
# Export
if(export) export_data(banco)
message("Done.\n")
return(banco)
}else{
message("Not disponible. Please, check the documentation and try again.\n")
}
}
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