library(tidyverse)
library(ggoxford)
library(ggtext)
wpop2013 <-
tidyr::population %>%
filter(year == 2013) %>%
filter(population > 1e6) %>%
mutate(iso3 = countrycode::countrycode(country,
origin = "country.name.en",
destination = "iso3c")
) %>%
slice(1:10)
head(wpop2013,10)
ggplot(data = wpop2013 ,
aes(x = iso3, y = population)) +
geom_bar(stat = "identity") +
theme_minimal() +
geom_axis_flags2(breaks = wpop2013$iso3,
labels = wpop2013$country,
country_icons = wpop2013$iso3,
width = 30,
lineheight = 2,
fontface = "bold"
)
wpop2013$country %>% tail(10) %>% purrr::map_chr(~paste(strwrap(.x,15), collapse="\n"))
s = "Lorem ipsum... you know the routine"
paste(strwrap(s,5), collapse="\n")
strwrap(s,5)
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