lfst_r_egad %>%
filter(unit == "PC",
duration == "M_GE60",
sex == "T",
age == "Y_GE15",
nchar(geo) == 4,
time == "2018") %>%
right_join(europe_NUTS2, by = "geo") %>%
filter(long >= -13.5, 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),
breaks = 0.01*seq(20, 100, 5),
values = c(0, 0.1, 0.3, 0.5, 0.7, 0.8, 1)) +
theme_void() + theme(legend.position = c(0.15, 0.85)) +
labs(fill = "Employment (%) \nLong-Term (60m+), Age 15+")