    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()
        )