yth_empl_030 %>%
filter(time == "2015",
nchar(geo) == 4,
sex == "T",
age == "Y15-29") %>%
right_join(europe_NUTS2, by = "geo") %>%
filter(long >= -15, lat >= 33) %>%
ggplot(., aes(x = long, y = lat, group = group, fill = values/100)) +
geom_polygon() + coord_map() +
scale_fill_viridis_c(na.value = "white",
labels = scales::percent_format(accuracy = 1),
direction = -1,
breaks = 0.01*seq(0, 100, 10),
values = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 1)) +
theme_void() + theme(legend.position = c(0.25, 0.85)) +
labs(fill = "Youth Employment (%)")