#' Download data on the candidates' social media links in federal elections
#'
#' \code{social_media()} is a function that allows you to download data on the social media handles of candidates participating in federal and municipal elections in Brazil. The function returns a \code{data.frame} where each observation corresponds to a candidate's social media handles (i.e., usernames).
#'
#'
#' @param year Election year (\code{integer}). For this function, only the years 2020 and 2022
#' are available.
#'
#'
#' @param encoding Data original encoding (defaults to 'latin1'). This can be changed to avoid errors
#' when \code{ascii = TRUE}.
#'
#' @param temp (\code{logical}). Whether to keep the temporary data files for future use (recommended).
#'
#' @param readme_pdf should the original README file be saved as a PDF in the working directory? Defaults to FALSE.
#'
#' @details If export is set to \code{TRUE}, the downloaded data is saved as .dta and .sav
#' files in the current directory.
#'
#'
#' @return \code{social_media()} returns a \code{tbl, data.frame}.
#'
#' @import utils
#' @importFrom magrittr "%>%"
#' @examples
#' \dontrun{
#' df <- social_media(2022)
#' }
social_media <- function(year,
encoding = "latin1",
temp = TRUE,
readme_pdf = FALSE){
# Input tests
uf <- test_uf("all")
test_encoding(encoding)
test_year(year)
if(year < 2020) stop("Not disponible. Please, only from 2020.\n")
filenames <- paste0("/rede_social_candidato_", year, ".zip")
dados <- paste0(file.path(tempdir()), filenames)
url <- "https://cdn.tse.jus.br/estatistica/sead/odsele/consulta_cand%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))
#provisorio
banco <- juntaDados(uf, encoding, br_archive = FALSE)
setwd("..")
if(readme_pdf){
file.rename(paste0(year ,"/leiame.pdf"), paste0("readme_social_media_", year,".pdf"))
}
unlink(as.character(year), recursive = T)
message("Done.\n")
return(banco)
}
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