# paquetes ----------------------------------------------------------------
library(glue)
library(ggtext)
library(showtext)
library(tidyverse)
# fuente ------------------------------------------------------------------
# colores
c1 <- "#F04C44"
c2 <- "#110C3A"
c3 <- "#76BE72"
c4 <- "#FFF5F5"
c5 <- "grey40"
# 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"
)
font_add_google(
name = "Bebas Neue",
family = "bebas"
)
showtext_auto()
showtext_opts(dpi = 300)
# caption
paper <- str_wrap("Regime types and regime change: A new dataset on democracy, coups, and political institutions", 50) |>
str_replace_all("\n", "<br>")
paper_autor <- "Bjørnskov & Rode"
fuente <- glue(
"Datos: <span style='color:{c1};'><span style='font-family:jet;'>",
"{{<b>tidytuesdayR</b>}}</span> semana {45}, ",
"<b>{paper}</b>, {paper_autor}.</span>"
)
autor <- glue("<span style='color:{c1};'>**Víctor Gauto**</span>")
icon_twitter <- glue("<span style='font-family:jet;'></span>")
icon_instagram <- glue("<span style='font-family:jet;'></span>")
icon_github <- glue("<span style='font-family:jet;'></span>")
icon_mastodon <- glue("<span style='font-family:jet;'>󰫑</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} {usuario}"
)
# datos -------------------------------------------------------------------
tuesdata <- tidytuesdayR::tt_load(2024, 45)
democracy_data <- tuesdata$democracy_data
# porcentaje anual de democracias, monarquías y presidenciales
d <- democracy_data |>
select(year, is_democracy, is_monarchy, is_presidential) |>
drop_na() |>
mutate(
across(
.cols = everything(),
.fns = (x) mean(x)
),
.by = year
) |>
pivot_longer(
cols = starts_with("is"),
names_to = "estado",
values_to = "prop"
) |>
distinct() |>
mutate(
estado_tran = case_match(
estado,
"is_democracy" ~ "Democracia",
"is_monarchy" ~ "Monarquía",
"is_presidential" ~ "Presidencial"
)
)
# etiquetas
d_2005 <- filter(d, year == 2005) |>
mutate(
vjust = c(1.2, 1.6, 1.4)
)
# figura ------------------------------------------------------------------
mi_subtitulo <- glue(
"En los últimos 70 años, mientras las<br>",
"<b style='color: {c1}'>democracias</b> están en aumento,<br>",
"las <b style='color: {c3}'>presidencias</b> y las ",
"<b style='color: {c2}'>monarquías</b><br>",
"se estabilizaron."
)
g <- ggplot(d, aes(year, prop, color = estado_tran)) +
geom_line(
linewidth = 2.7, show.legend = FALSE, lineend = "round"
) +
geom_line(
aes(group = estado_tran), color = c4, linetype = "44",
linewidth = .4, show.legend = FALSE, lineend = "round"
) +
geom_label(
data = d_2005, aes(label = estado_tran, fill = estado_tran, vjust = vjust),
show.legend = FALSE, size = 8, fontface = "bold", color = c4, hjust = 0,
label.r = unit(0, "mm")
) +
annotate(
geom = "richtext", x = I(.01), y = I(.99), label = mi_subtitulo, size = 8,
family = "ubuntu", fill = c4, label.color = c5, hjust = 0, vjust = 1,
color = c5, label.padding = unit(.4, "lines"), label.r = unit(0, "mm")
) +
scale_x_continuous(
breaks = scales::breaks_width(10),
expand = c(0, 0)
) +
scale_y_continuous(
limits = c(.18, .65),
expand = c(0, 0),
breaks = seq(.1, .7, .1),
labels = scales::label_percent()
) +
scale_color_manual(
values = c(c1, c2, c3)
) +
scale_fill_manual(
values = c(c1, c2, c3)
) +
coord_cartesian(clip = "off") +
labs(x = NULL, y = NULL, caption = mi_caption) +
theme_minimal() +
theme(
aspect.ratio = 1,
plot.margin = margin(r = 35, l = 10, b = 10, t = 8),
plot.background = element_rect(fill = c4, color = c3, linewidth = 3),
plot.caption = element_markdown(
family = "ubuntu", size = 14, color = c2, lineheight = unit(1.1, "line"),
margin = margin(t = 25)
),
panel.grid.major = element_line(
color = c5, linetype = 1,linewidth = .2
),
panel.grid.minor = element_line(
color = c5, linetype = 2, linewidth = .1
),
axis.text.x = element_text(family = "bebas", size = 30, color = c2),
axis.text.y = element_text(family = "jet", size = 20, color = c2)
)
# guardo
ggsave(
plot = g,
filename = "2024/s45/viz.png",
width = 30,
height = 31,
units = "cm"
)
# abro
browseURL(glue("{getwd()}/2024/s45/viz.png"))