    # 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)]))