---
title: "Unemployment rate"
output:
  prettydoc::html_pretty:
    toc: true
    theme: architect
    highlight: github
    includes:
      # in_header: header.html
vignette: >
  %\VignetteIndexEntry{Unemployment rate} 
  %\VignetteEngine{knitr::rmarkdown} 
  %\VignetteEncoding{UTF-8}
  %\VignetteDepends{kableExtra,magrittr,htmltools}
---

```{r 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)
library(tidyverse)

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)),
    " />"
  ))}
```

```{r message=FALSE, warning=FALSE, include=FALSE}
library(kableExtra)
library(magrittr)
library(htmltools)
library(prettydoc)
```

```{r, echo = FALSE}
embed_png("unem.png")
```

```{r message=FALSE, warning = FALSE, eval = FALSE}

library(tidyverse)
library(insee)

dataset_list = get_dataset_list()

df_idbank_list_selected =
  get_idbank_list("CHOMAGE-TRIM-NATIONAL") %>% #Unemployment dataset
  add_insee_title() %>%
  filter(INDICATEUR == "CTTXC") %>% #unemployment rate based on ILO standards
  filter(REF_AREA == "FM") %>%  # all France excluding overseas departements
  filter(SEXE == 0) # men and women

list_idbank = df_idbank_list_selected %>% pull(idbank)

data = get_insee_idbank(list_idbank, startPeriod = "2000-01") %>% split_title()

ggplot(data, aes(x = DATE, y = OBS_VALUE, colour = TITLE_EN2)) +
  geom_line() +
  geom_point() +
  ggtitle("French unemployment rate, by age") +
  labs(subtitle = sprintf("Last updated : %s", data$TIME_PERIOD[1]))

```

