Last observation: 2024 (N = 383)
First observation: 1990 (N = 240)
Last data update: 14 juil. 2026, 22:08. Last compile: 01 sept. 2026, 23:34
Data - Eurostat
Last observation: 2024 (N = 383)
First observation: 1990 (N = 240)
Last data update: 14 juil. 2026, 22:08. Last compile: 01 sept. 2026, 23:34
demo_r_minfind |>
filter(geo %in% c("FR", "DE", "IT", "ES", "PL")) |>
year_to_date() |>
left_join(colors, by = c("Geo" = "country")) |>
ggplot() + geom_line(aes(x = date, y = values, color = color)) +
theme_minimal() + scale_color_identity() + add_flags +
scale_x_date(breaks = as.Date(paste0(seq(1990, 2100, 5), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Infant mortality rate (deaths per 1,000 live births)")
latest_y <- demo_r_minfind |>
filter(nchar(geo) == 2, !is.na(values)) |>
summarise(m = max(time)) |>
pull(m)
demo_r_minfind |>
filter(nchar(geo) == 2, time == latest_y) |>
select(Geo, values) |>
arrange(values) |>
print_table_conditional()demo_r_minfind |>
filter(time == "2018") |>
select(geo, Geo, values) |>
right_join(europe_NUTS0, 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),
breaks = 0.01*seq(0, 10, 1),
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 = "Infant Mortality Rates")