library(insee)
library(ggplot2)
library(dplyr)
library(magrittr)
insee_dataset = get_dataset_list()
list_idbank_selected =
get_idbank_list("DECES-MORTALITE", "NAISSANCES-FECONDITE") %>%
filter(FREQ == "M") %>% #monthly
filter(REF_AREA == "FM") %>% #metropolitan territory
filter(DEMOGRAPHIE %in% c("NAISS", "DECES"))
idbank_selected = list_idbank_selected %>% pull(idbank)
data =
get_insee_idbank(idbank_selected) %>%
split_title() %>%
mutate(period = case_when(DATE < "1975-01-01" ~ "1948 - 1974",
DATE >= "1975-01-01" & DATE < "2000-01-01" ~ "1975 - 1999",
DATE >= "2000-01-01" ~ "2000 - today"
))
x_dates = seq.Date(from = as.Date("1940-01-01"), to = Sys.Date(), by = "5 years")
last_date = data %>% pull(DATE) %>% max()
ggplot(data, aes(x = DATE, y = OBS_VALUE, colour = TITLE_EN2)) +
facet_wrap(~period, scales = "free_x", ncol = 1) +
geom_line() +
geom_point(size = 0.9) +
ggtitle("Deaths and Births in France since 1948") +
labs(subtitle = sprintf("Last update : %s", last_date)) +
scale_x_date(breaks = x_dates, date_labels = "%Y") +
theme(
legend.position = "bottom",
legend.title = element_blank(),
axis.title.x = element_blank(),
axis.title.y = element_blank()
)