## ----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( "" ))} ## ----message=FALSE, warning=FALSE, include=FALSE------------------------------ library(kableExtra) library(htmltools) library(prettydoc) ## ----echo = FALSE------------------------------------------------------------- embed_png("death_birth.png") ## ----message=FALSE, warning=FALSE,eval=FALSE---------------------------------- # # 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() # ) # # #