# paquetes ----------------------------------------------------------------
library(tidyverse)
library(glue)
library(ggtext)
library(showtext)
library(ggpath)
# fuente ------------------------------------------------------------------
# colores
c1 <- "#cc2c29"
c2 <- "#E4332F"
c3 <- "#FFCE00"
c4 <- "white"
# texto gral
font_add_google(name = "Ubuntu", family = "ubuntu")
# eje vertical, scoville
font_add_google(name = "Victor Mono", family = "victor", db_cache = FALSE)
# eje horizontal, temporadas
font_add_google(name = "Bebas Neue", family = "bebas", db_cache = FALSE)
# íconos
font_add("fa-brands", "icon/Font Awesome 6 Brands-Regular-400.otf")
font_add("fa-solids", "icon/Font Awesome 6 Free-Solid-900.otf")
showtext_auto()
showtext_opts(dpi = 300)
# caption
fuente <- glue("Datos: <span style='color:{c3};'><span style='font-family:mono;'>{{<b>tidytuesdayR</b>}}</span> semana 32. **List of Hot Ones episodes**, Wikipedia</span>")
autor <- glue("Autor: <span style='color:{c3};'>**Víctor Gauto**</span>")
icon_twitter <- glue("<span style='font-family:fa-brands;'></span>")
icon_github <- glue("<span style='font-family:fa-brands;'></span>")
usuario <- glue("<span style='color:{c3};'>**vhgauto**</span>")
sep <- glue("**|**")
mi_caption <- glue("{fuente}<br>{autor} {sep} {icon_github} {icon_twitter} {usuario}")
# datos -------------------------------------------------------------------
browseURL("https://github.com/rfordatascience/tidytuesday/blob/master/data/2023/2023-08-08/readme.md")
sauces <- readr::read_csv('https://raw.githubusercontent.com/rfordatascience/tidytuesday/master/data/2023/2023-08-08/sauces.csv')
# me interesa la distribución de la escala Scoville para cada salsa
# (del 1 al 10), en todas las temporadas
d <- sauces |>
mutate(sauce_number = factor(sauce_number)) |>
select(sauce_number, scoville)
# figura ------------------------------------------------------------------
# tibble con la ubicación del logo
camino_logo <- "2023/semana_32/logo.png"
logo_tbl <- tibble(
x = 1,
y = 1e6,
path = camino_logo)
# subtítulo
sub_tbl <- tibble(
x = 10,
y = 1000,
label = glue(
"<b style='color:{c3}'>Hot Ones</b> es un programa de **YouTube** donde celebridades son<br>
entrevistadas mientras *disfrutan* comida picante, con 10 salsas<br>
en orden creciente de picor. Se muestra la intensidad de las<br>
salsas para las 21 temporadas del programa."))
# explicación escala Scoville
scoville_tbl <- tibble(
x = 10,
y = 300,
label = glue(
"<sup style='color:white;'>**U2020**</sup>La **escala Scoville** mide la
intensidad de un picante.<br>El valor más bajo (1) corresponde al
morrón verde."))
# valores MIN y MAX de la escala Scoville
d_min <- d |>
slice_min(order_by = scoville, n = 1) |>
mutate(label = glue("← {scoville}nMIN"))
d_max <- d |>
slice_max(order_by = scoville, n = 1, with_ties = FALSE) |>
mutate(label = gt::vec_fmt_number(
scoville,
decimals = 0,
sep_mark = ".",
dec_mark = ",")) |>
mutate(label = glue("{label} →nMAX"))
# figura
g <- ggplot(data = d, aes(sauce_number, scoville, color = sauce_number)) +
# puntos
geom_point(alpha = 1/1, size = 7, shape = 1,
position = position_jitter(width = .1, seed = 2023)) +
# logo
geom_from_path(
data = logo_tbl, aes(x, y, path = path),
width = .4, inherit.aes = FALSE, hjust = 0, vjust = .5) +
# subtítulo
geom_richtext(
data = sub_tbl, aes(x, y, label = label),
label.color = NA, fill = NA, color = c4, family = "ubuntu", size = 6,
hjust = 1, vjust = 1) +
# explicación escala Scoville
geom_richtext(
data = scoville_tbl, aes(x, y, label = label),
label.color = NA, fill = NA, color = c3, family = "ubuntu", size = 5,
hjust = 1, vjust = 1) +
# mínimo
geom_text(
data = d_min, aes(label = label),
family = "victor", nudge_x = .6, size = 3.5, fontface = "bold",
hjust = 1, vjust = .75) +
# máximo
geom_text(
data = d_max, aes(label = label),
family = "victor", nudge_x = -1.3, size = 3.5, fontface = "bold",
hjust = 0, vjust = .6) +
# ejes
scale_y_log10(
labels = scales::label_number(big.mark = ".", decimal.mark = ","),
limits = c(100, NA),
expand = c(0, .1)) +
scale_color_manual(values = rep(c(c3, c4), length.out = 10)) +
coord_cartesian(clip = "off") +
labs(
x = "\# de salsa",
y = "Escala Scoville<sup style='color:white;'>**U2020**</sup><br>
<span style='font-size:15pt'>*logarítmica*</style>",
caption = mi_caption) +
theme_void() +
theme(
aspect.ratio = 1,
legend.position = "none",
plot.margin = margin(70.3, 10, 5.3, 10),
plot.background = element_rect(fill = c1, color = c2, linewidth = 3),
plot.caption = element_markdown(
color = c4, family = "ubuntu", margin = margin(10, 0, 10, 0),
size = 12),
panel.grid.major.y = element_line(
color = c4,linetype = "f8", linewidth = .1),
axis.title.x = element_markdown(
size = 26, color = c3, family = "ubuntu", margin = margin(20, 0, 0, 0)),
axis.title.y = element_markdown(
size = 26, color = c3, family = "ubuntu", angle = 90, lineheight = .2),
axis.text.x = element_text(
family = "bebas",
color = rep(c(c3, c4), length.out = 10),
size = 30),
axis.text.y = element_text(
family = "victor", color = c4, size = 16, hjust = 1)
)
# guardo
ggsave(
plot = g,
filename = "2023/semana_32/viz.png",
width = 30,
height = 31,
units = "cm")
# abro
browseURL("2023/semana_32/viz.png")
