#load libraries
librarian::shelf(
tidyverse
, showtext
, ggtext
, sysfonts
, emojifont
, cowplot
)
caritas <- 18
b <- "grey60"
p_d <- "#df4576"
s_d <- "#238ad3"
t_d <- "#27eBa7"
vacc <-
PeruData::covid_estado_situacional("04/02/2022") |>
mutate(
d11 = d1 / 32781250
, d21 = d2 / d1
, d31 = d3 / d2
) |>
gather() |>
slice(4:6) |>
mutate(
count = as.integer(value * caritas)
, total = list(1:caritas)
) |>
unnest(total) |>
rename(
dosis = 1
, percet = 2
) |>
mutate(
dosis = as.numeric(str_sub(dosis, 2, 2))
, color = case_when(
dosis == 1 & total < count ~ p_d
, dosis == 2 & total < count ~ s_d
, dosis ==3 & total< count ~ t_d
, T ~ b
)
, poss = case_when(
dosis == 1 ~ 2
, dosis == 3 ~ 1
, T ~ 1.5
)
)
p <- vacc |>
ggplot() +
geom_text(
aes(
x = total,
y = poss,
color = color,
label = emoji("busts_in_silhouette")
),
family = "EmojiOne",
size = 30
) +
scale_color_identity() +
ylim(0.2, 2) +
xlim(-2, 18) +
labs(
title = "Perú - Vacunas"
, caption = "Data: MINSA - Peru | Viz: @JhonKevinFlore1\n#30DayChartChallenge | Day2: Pictogram"
, subtitle = "Estado situacional"
) +
theme_void() +
theme(
text = element_text(
family = "Ubuntu",
face = 'bold',
colour = "#004D40"
),
plot.background = element_rect(fill = "#132A3F", color = NA),
plot.title = element_text(
hjust = 0.5,
size = 60,
margin = margin(10, 0, 0, 0),
color = "grey70"
),
plot.subtitle = element_text(
hjust = 0.5,
size = 36,
margin = margin(10, 0, 0, 0),
color = "#c00000"
),
plot.caption = element_text(
hjust = 1,
margin = margin(20, 0, 2, 0),
color = "grey50"
, lineheight = .5
, size = 20
),
plot.margin = margin(1, 1, 1, 1, unit = "cm")
)
ggdraw() +
draw_plot(p) +
draw_label("1º dosis", x = .1, y = .58, size = 40, color = "#df4576") +
draw_label("2º dosis", x = .1, y = .44, size = 40, color = "#238ad3") +
draw_label("3º dosis", x = .1, y = .3, size = 40, color = "#27eBa7")
# ggsave(
# , width = 16, height = 11, units = "cm") Day 01
R
Data Viz
ggplot2
Day 2 form #30datChartChallenge
knitr::include_graphics('plots/day2_dcc_22.png')