v3_inflation-vignettes.Rmd

---
title: "Inflation"
output:
  prettydoc::html_pretty:
    toc: true
    theme: architect
    highlight: github
    includes:
      # in_header: header.html
vignette: >
  %\VignetteIndexEntry{Inflation} 
  %\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, echo = FALSE}
embed_png("inflation.png")
```

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

```{r message = FALSE, warning=FALSE, eval = FALSE}
# please download the Github version
# devtools::install_github("InseeFr/R-Insee-Data")
library(tidyverse)
library(lubridate)
library(insee)


df_idbank_list_selected =
  get_idbank_list("IPC-2015") %>% #Inflation dataset
  filter(FREQ == "M") %>% # monthly
  filter(str_detect(COICOP2016, "^[0-9]{2}$")) %>% # coicop aggregation level
  filter(NATURE == "INDICE") %>% # index
  filter(MENAGES_IPC == "ENSEMBLE") %>% # all kinds of household
  filter(REF_AREA == "FE") %>% # all France including overseas departements
  add_insee_title()

list_idbank = df_idbank_list_selected %>% pull(idbank)

data = 
  get_insee_idbank(list_idbank, startPeriod = "2015-01") %>% 
  add_insee_metadata()

data_plot = data %>%
  mutate(month = month(DATE)) %>%
  arrange(DATE) %>%
  filter(COICOP2016 != "12") %>% 
  group_by(COICOP2016_label_en, month) %>%
  mutate(growth = 100 * (OBS_VALUE / dplyr::lag(OBS_VALUE) - 1))

ggplot(data_plot, aes(x = DATE, y = growth)) +
  geom_col() +
  facet_wrap(~COICOP2016_label_en, scales = "free", labeller = label_wrap_gen(22)) +
  ggtitle("French inflation, by product category, year-on-year") +
  labs(subtitle = sprintf("Last updated : %s", data_plot$TIME_PERIOD[nrow(data_plot)]))


```