Nothing
## ----setup,echo=FALSE, include=FALSE------------------------------------------
# setup chunk
NOT_CRAN <- identical(tolower(Sys.getenv("NOT_CRAN")),"true")
knitr::opts_chunk$set(purl = NOT_CRAN)
library(insee)
embed_png <- function(path, dpi = NULL) {
meta <- attr(png::readPNG(path, native = TRUE, info = TRUE), "info")
if (!is.null(dpi)) meta$dpi <- rep(dpi, 2)
knitr::asis_output(paste0(
"<img src='", path, "'",
" width=", round(meta$dim[1] / (meta$dpi[1] / 96)),
" height=", round(meta$dim[2] / (meta$dpi[2] / 96)),
" />"
))}
## ----message=FALSE, warning=FALSE, include=FALSE------------------------------
library(kableExtra)
library(htmltools)
library(prettydoc)
## ----echo = FALSE-------------------------------------------------------------
embed_png("pop.png")
## ----message=FALSE, warning=FALSE,eval=FALSE----------------------------------
# # 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]))
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