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)
# please download the Github version
# devtools::install_github("hadrilec/insee")
library(ggplot2)
library(dplyr)
library(magrittr)
library(insee)
dataset_list = get_dataset_list()
df_idbank_list_selected =
get_idbank_list("POPULATION-STRUCTURE") %>% #population dataset
add_insee_title() %>%
filter(INDICATEUR == "POPULATION_1ER_JANVIER") %>% #population at the beginning of the year
filter(REF_AREA == "FE") %>% # all France including overseas departements
filter(SEXE == 0) %>% # men and women
filter(AGE %in% c("00-19", "20-59", "60-")) #age ranges
list_idbank = df_idbank_list_selected %>% pull(idbank)
data = get_insee_idbank(list_idbank)
data_plot =
data %>%
split_title() %>%
add_insee_metadata() %>%
mutate(OBS_VALUE = OBS_VALUE / 10^6)
ggplot(data_plot, aes(x = DATE, y = OBS_VALUE, fill = TITLE_EN3)) +
geom_area() +
ggtitle("French population in millions, by age") +
labs(subtitle = sprintf("Last updated : %s", data_plot$TIME_PERIOD[1]))