R/plot_bill.R

In polAr: Argentina Political Analysis

#' Visualizar resultado de una votación (Plot Vote)
#'
#'@description
#' Función que grafica el resultado de una votación.  
#' 
#'@param id Parametro en el que se especifica el id del proyecto obtenido con \code{\link{show_available_bills}}
#'
#' @examples 
#'
#' plot_bill(id = "1926-Diputados")
#' 
#' @seealso  \code{\link{get_bill_votes}, \link{show_available_bills}}
#'
#' @export


plot_bill <- function(id = NULL){
  
bill <-   polAr::get_bill_votes(bill = id) %>% 
  dplyr::mutate(id = id)

bill_metadata <- polAr::show_available_bills(viewer = FALSE) %>% 
  dplyr::filter(id == unique(bill$id)) 

vote_count <-  bill %>% 
  dplyr::count(vote)

  
vote <- tibble::tibble(vote = c("AFIRMATIVO", "AUSENTE", "NEGATIVO", 
                        "PRESIDENTE", "ABSTENCION")) %>% 
  dplyr::left_join(vote_count, by = "vote") %>% 
  dplyr::mutate(n = ifelse(is.na(n), 0, n))


bill_df <- data.frame(
  house = dplyr::case_when(
    dim(bill)[1] == 257 ~ "Diputados", 
    dim(bill)[1] == 72 ~ "Senadores"),
  party_long = c(vote$vote[1],vote$vote[2], vote$vote[3], vote$vote[4], vote$vote[5]), 
  party_short = c("afirmativo", "ausente", "negativo", "presidente", "abstencion"),
  seats = c(vote$n[1],vote$n[2], vote$n[3],  vote$n[4], vote$n[5])
  )

bill_df <- bill_df %>% 
  dplyr::mutate(party_long = paste0(party_long, " (",seats, ")"), 
         order = c(4,2,1, 3, 5), 
         colour = dplyr::case_when(
           party_short == "afirmativo" ~ "#2E6B23",
           party_short == "negativo" ~ "#D93C3C", 
           party_short == "ausente" ~ "#5C5C5C", 
           party_short == "presidente" ~ "#0D0D0D", 
           party_short == "abstencion" ~ "#c2b670"))


expand_bill_df <- ggparliament::parliament_data(bill_df,
                                               type = "semicircle", 
                                               parl_rows =6, 
                                               party_seats = bill_df$seats, 
                                               plot_order = bill_df$order) %>% 
  dplyr::mutate(colour = as.character(colour))

expand_bill_df %>% 
  ggplot2::ggplot(ggplot2::aes(x, y, colour = party_long)) +
  ggparliament::geom_parliament_seats(size = 7) + 
  ggparliament::geom_parliament_bar(colour = colour, party = party_short) +
  ggplot2::scale_colour_manual(values = expand_bill_df$colour,
                      limits = expand_bill_df$party_long)  +
  ggplot2::guides(colour = ggplot2::guide_legend(nrow = 2)) +
  ggplot2::labs(title = "", 
       subtitle = "", 
       colour = "", 
       x = "", 
       y = "")  +
  ggthemes::theme_fivethirtyeight() +
  ggplot2::theme(
    panel.grid =  ggplot2::element_blank(), 
    axis.text.x = ggplot2::element_blank(), 
    axis.text.y = ggplot2::element_blank(),
    legend.position = "bottom", 
    legend.text = ggplot2::element_text(size = 16)
    ) +
  ggplot2::labs(title = paste0("<b>", unique(bill_df$house), "</b><br>
                               <span style = 'font-size:10pt'> ", 
                               bill_metadata$descripcion , "</span>")) +
  ggplot2::theme(
    plot.title.position = "plot",
    plot.title = ggtext::element_textbox_simple(
        size = 13,
        lineheight = 1,
        padding = ggplot2::margin(5.5, 5.5, 5.5, 5.5),
        margin = ggplot2::margin(0, 0, 5.5, 0),
        fill = "azure1"
    ))



}