Semana 43

Figura semana 43

geom_vline
geom_col
geom_richtext
argentina
Autor

Víctor Gauto

Fecha de publicación

28 de octubre de 2024

Posición Argentina en superficie, acceso a internet, población y expectativa de vida.

Script

Código
# paquetes ----------------------------------------------------------------

library(glue)
library(ggtext)
library(ggh4x)
library(showtext)
library(tidytext)
library(tidyverse)

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

# colores
col <- MoMAColors::moma.colors(palette_name = "Smith")
# col <- MoMAColors::moma.colors(palette_name = "Budnitz")
c1 <- "grey40"
c2 <- "white"

# 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:{col[4]};'><span style='font-family:jet;'>",
  "{{<b>tidytuesdayR</b>}}</span> semana {43}, ",
  "<b>CIA World Factbook</b>.</span>"
)
autor <- glue("<span style='color:{col[4]};'>**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>")
usuario <- glue("<span style='color:{col[4]};'>**vhgauto**</span>")
sep <- glue("**|**")

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

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

tuesdata <- tidytuesdayR::tt_load(2024, 43)
cia <- tuesdata$cia_factbook

# me interesa la posición de Argentina respecto del resto de los países

# parámetros de interés y sus traducciones
param_c <- c("area", "life_exp_at_birth", "population", "internet_ratio")
param_trad <- c(
  glue("<b style='color: {col[1]}'>Superficie (km<sup>2</sup>)</b>"),
  glue("<b style='color: {col[2]}'>Expectativa de vida</b>"),
  glue("<b style='color: {col[3]}'>Población</b>"),
  glue("<b style='color: {col[4]}'>Población que usa internet (%)</b>")
)
names(param_trad) <- param_c

# acomodo los datos y obtengo el porcentaje de personas con internet
d <- cia |> 
  select(country, area, internet_users, life_exp_at_birth, population) |> 
  mutate(
    internet_ratio = internet_users/population*100
  ) |> 
  drop_na() |> 
  pivot_longer(
    cols = -country,
    names_to = "param",
    values_to = "valor"
  ) |> 
  mutate(
    arg = if_else(
      country == "Argentina",
      "Arg",
      param
    )
  ) |> 
  filter(param != "internet_users") |> 
  mutate(trad = param_trad[param])

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

# cantidad de países y grilla de posiciones
n_pais <- length(unique(d$country))

grid_label <- tibble(
  x = 1:n_pais,
  y = Inf,
  label = rev(x)
) |> 
  filter(label == label - (label %% 25) | x == n_pais) |> 
  mutate(label = glue("#{label}"))

# escalas individuales del eje vertical (facetas)
ejes_y <- list(
  # espectativa de vida
  scale_y_continuous(
    breaks = seq(0, 100, 20),
    limits = c(0, 100),
    expand = c(0, 0)
  ),
  # población
  scale_y_log10(
    breaks = 10^(0:9),
    limits = c(1, 10^9),
    labels = format(
      10^(0:9), scientific = FALSE, big.mark = ".", decimal.mark = ","
    )
  ),
  # internet
  scale_y_continuous(
    breaks = seq(0, 100, 20),
    limits = c(0, 100),
    expand = c(0, 0)
  ),
  # superficie
  scale_y_log10(
    breaks = 10^(0:9),
    labels = format(
      10^(0:9), scientific = FALSE, big.mark = ".", decimal.mark = ","
    )
  )
)

# bandera e ícono
bandera <- glue(
  "https://upload.wikimedia.org/wikipedia/commons/thumb/1/1a/",
  "Flag_of_Argentina.svg/320px-Flag_of_Argentina.svg.png"
)
  
triangulo <- glue("<span style='font-family:jet;'>&#xf1a09;</span>")

# posición de Argentina en cada parámetro
d_arg <- d |> 
  arrange(param, desc(valor)) |> 
  mutate(pos = row_number(), .by = param) |> 
  filter(country == "Argentina") |> 
  mutate(
    label = glue(
      "#{pos}<br><img src='{bandera}' width=30></img><br>{triangulo}"
    )
  )

# parámetros y estilo de c/u para el subtítulo
p1 <- glue("<b style='color: {col[2]};'>expectativa de vida</b>")
p2 <- glue("<b style='color: {col[3]};'>población</b>")
p3 <- glue("<b style='color: {col[4]};'>acceso a internet</b>")
p4 <- glue("<b style='color: {col[1]};'>superficie</b>")

mi_subtítulo <- glue(
  "Posición <b>Argentina</b> en {p1}, {p2}, {p3}<br>y {p4} a nivel mundial, ",
  "considerando 208 paises."
)

# figura
g <- ggplot(d, aes(reorder_within(country, valor, trad), valor, fill = arg)) +
  
  geom_vline(
    data = grid_label, aes(xintercept = x), color = c1, linewidth = .2
  ) +
  geom_col(color = NA, show.legend = FALSE, width = 1) +
  geom_richtext(
    data = grid_label, aes(x, y, label = label), inherit.aes = FALSE,
    family = "jet", label.color = NA, fill = col[5], color = c1, size = 3
  ) +
  
  geom_richtext(
    data = d_arg, aes(label = label), fill = NA, label.color = NA, vjust = .1,
    size = 5, color = c2, lineheight = .1, family = "jet"
  ) +
  
  facet_wrap(vars(trad), ncol = 2, scales = "free") +
  coord_cartesian(clip = "off") +
  facetted_pos_scales(y = ejes_y) +
  scale_fill_manual(
    breaks = unique(d$arg),
    values = as.character(c(col))
  ) +
  labs(x = NULL, y = NULL, subtitle = mi_subtítulo, caption = mi_caption) +
  theme_classic() +
  theme(
    plot.margin = margin(r = 20, l = 10),
    plot.background = element_rect(
      fill = col[5], color = col[3], linewidth = 3
    ),
    plot.subtitle = element_markdown(
      family = "ubuntu", size = 23, hjust = .5, color = c2,
      lineheight = unit(1.1, "line"), margin = margin(b = 20, t = 10)
    ),
    plot.caption = element_markdown(
      family = "ubuntu", size = 13, color = col[2],
      margin = margin(b = 10, t = 15)
    ),
    axis.ticks = element_blank(),
    axis.text = element_text(family = "jet", color = c2, size = 11),
    axis.text.x = element_blank(),
    axis.line = element_blank(),
    panel.background = element_rect(fill = col[5]),
    panel.grid.major.y = element_line(color = c1, linewidth = .2),
    panel.grid.major.x = element_blank(),
    panel.grid.minor.x = element_blank(),
    panel.spacing.x = unit(1.5, "line"),
    panel.spacing.y = unit(1.1, "line"),
    panel.border = element_blank(),
    strip.background = element_blank(),
    strip.text = element_markdown(
      family = "ubuntu", hjust = 0, size = 20, color = col[4],
      margin = margin(b = 15)
    )
  )

# guardo
ggsave(
  plot = g,
  filename = "2024/s43/viz.png",
  width = 30,
  height = 30,
  units = "cm"
)

# abro
browseURL(glue("{getwd()}/2024/s43/viz.png"))

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