Semana 53

Figura semana 53

Restaurantes ganadores del premio James Beard.

Script

# paquetes ----------------------------------------------------------------

library(glue)
library(ggtext)
library(showtext)
library(tidyverse)

# fuente ------------------------------------------------------------------

# colores
c1 <- "#185461"
c2 <- "#D8DEE9"
c3 <- "#ECEFF4"
c4 <- "black"
c5 <- "white"
c6 <- "#001959"

# fuente: Ubuntu
font_add(
  family = "ubuntu",
  regular = "fuente/Ubuntu-Regular.ttf",
  bold = "fuente/Ubuntu-Bold.ttf",
  italic = "fuente/Ubuntu-Italic.ttf"
)

# monoespacio & íconos
font_add(
  family = "jet",
  regular = "fuente/JetBrainsMonoNLNerdFontMono-Regular.ttf"
)

showtext_auto()
showtext_opts(dpi = 300)

# caption
fuente <- glue(
  "Datos: <span style='color:{c1};'><span style='font-family:jet;'>",
  "{{<b>tidytuesdayR</b>}}</span> semana {53}, ",
  "<b>James Beard Awards</b>, PythonCoderUnicorn.</span>"
)
autor <- glue("<span style='color:{c1};'>**Víctor Gauto**</span>")
icon_twitter <- glue("<span style='font-family:jet;'>&#xf099;</span>")
icon_instagram <- glue("<span style='font-family:jet;'>&#xf16d;</span>")
icon_github <- glue("<span style='font-family:jet;'>&#xf09b;</span>")
icon_mastodon <- glue("<span style='font-family:jet;'>&#xf0ad1;</span>")
icon_bsky <- glue("<span style='font-family:jet;'>&#xe28e;</span>")
usuario <- glue("<span style='color:{c1};'>**vhgauto**</span>")
sep <- glue("**|**")

mi_caption <- glue(
  "{fuente}<br>{autor} {sep} {icon_github} {icon_twitter} {icon_instagram} ",
  "{icon_mastodon} {icon_bsky} {usuario}"
)

# datos -------------------------------------------------------------------

tuesdata <- tidytuesdayR::tt_load(2024, 53)
restaurant_and_chef <- tuesdata$restaurant_and_chef

# me interesa un mapa con la cantidad de ganadores por Estado

# obtengo cantidad de ganadores y nombre del Estado
d <- restaurant_and_chef |> 
  filter(rank == "Winner") |> 
  filter(str_detect(city, ",")) |> 
  separate_wider_delim(
    cols = city,
    delim = ", ",
    names = c("ciudad", "estado_nombre")
  ) |> 
  count(estado_nombre, sort = TRUE)

# mapa de EEUU
usa_sf <- rgeoboundaries::gb_adm1(country = "USA") |> 
  select("estado_nombre" = shapeName)

# remuevo Hawaii para obtener únicamente la parte continental
d_sf <- inner_join(d, usa_sf, by = join_by(estado_nombre)) |>
  filter(estado_nombre != "Hawaii") |> 
  sf::st_as_sf()

# recorto USA a la extensión
ext <- sf::st_bbox(d_sf) |> 
  sf::st_as_sfc()

usa_crop_sf <- sf::st_intersection(usa_sf, ext) |> 
  sf::st_drop_geometry()

# todos los Estados continentales
estados_cont <- inner_join(usa_sf, usa_crop_sf, by = join_by(estado_nombre))

# divido en rangos
d_sf <- full_join(d, estados_cont, by = join_by(estado_nombre)) |> 
  sf::st_as_sf() |>
  sf::st_transform(crs = sf::st_crs("ESRI:102003")) |> 
  mutate(rango = cut_width(n, 10)) |> 
  mutate(lim_i = str_extract(rango, "(?<=\(|\[)[-0-9.]+")) |> 
  mutate(lim_s = str_extract(rango, "(?<=,)[-0-9.]+(?=\]|\))")) |> 
  mutate(
    r = if_else(
      lim_i < 0,
      paste0("<", lim_s),
      paste0(lim_i, "-", lim_s)
    )
  ) |> 
  mutate(r = fct_reorder(r, n, .na_rm = TRUE, .desc = TRUE))

# figura ------------------------------------------------------------------

# agrego las capitales de Estado
capitales <- maps::us.cities |> 
  as_tibble() |> 
  filter(capital == 2) |> 
  sf::st_as_sf(coords = c("long", "lat"), crs = 4326) |> 
  sf::st_intersection(ext) |> 
  sf::st_transform(crs = sf::st_crs("ESRI:102003")) |> 
  sf::st_as_sfc()

# logo y top 2 Estados
logo <- "https://pbs.twimg.com/profile_images/1138814510528114691/plI3Ufxt_400x400.png"
logo_label <- glue("<img src='{logo}' width=100 />")

ny <- slice(d_sf, 1)
ca <- slice(d_sf, 2)

# subtítulo
mi_subtitulo <- glue(
  "Entre 1984 y 2024, {ny$n} restaurantes de <b style='color:{c6}'>New York</b> 
  han recibido el prestigioso premio<br> <b>James Beard</b>. Le sigue 
  <b style='color:{c6}'>California</b>, con {ca$n} establecimientos."
)

# figura
g <- ggplot() +
  geom_sf(data = d_sf, aes(fill = r), color = c4) +
  geom_sf(
    data = capitales, shape = 21, fill = c5, color = c4, size = 1
  ) +
  annotate(
    geom = "richtext", x = I(.025), y = -I(.025), label = logo_label, hjust = 0,
    vjust = 0, fill = NA, label.color = NA
  ) +
  scico::scale_fill_scico_d(
    palette = "batlow",
    na.value = c2,
    labels = c(as.character(sort(unique(d_sf$r)))[1:6], "Sin ganadores")
  ) +
  coord_sf(clip = "off") +
  guides(
    fill = guide_legend(override.aes = list(color = NA))
  ) +
  labs(
    subtitle = mi_subtitulo,
    fill = "Cantidad denrestaurantesnganadores",
    caption = mi_caption
  ) +
  theme_void(base_size = 12, base_family = "ubuntu") +
  theme(
    plot.background = element_rect(fill = c3, color = c6, linewidth = 3),
    plot.margin = margin(b = 14.3, l = 5, r = 5, t = 14),
    plot.subtitle = element_markdown(
      color = c1, size = 18, hjust = .5, lineheight = 1.2
    ),
    plot.caption = element_markdown(
      color = c4, lineheight = 1.2, size = 11, margin = margin(r = 5)
    ),
    legend.title = element_text(),
    legend.text = element_text(family = "jet"),
    legend.position = "inside",
    legend.position.inside = c(.87, .05),
    legend.justification = c(0, 0)
  )

# guardo
ggsave(
  plot = g,
  filename = "2024/s53/viz.png",
  width = 30,
  height = 22,
  units = "cm"
)

# abro
browseURL(paste0(getwd(), "/2024/s53/viz.png"))

Figura