
# please download the Github version
# devtools::install_github("hadrilec/insee")
library(tidyverse)
library(lubridate)
library(insee)
idbank_list = get_idbank_list()
df_idbank_list_selected =
idbank_list %>%
filter(nomflow == "IPC-2015") %>% #Inflation dataset
filter(dim1 == "M") %>% # monthly
filter(str_detect(dim4, "^[0-9]{2}$")) %>% # coicop aggregation level
filter(dim6 == "INDICE") %>% # index
filter(dim7 == "ENSEMBLE") %>% # all kinds of household
filter(dim8 == "FE") %>% # all France including overseas departements
mutate(title = get_insee_title(idbank))
list_idbank = df_idbank_list_selected %>% pull(idbank)
data =
get_insee_idbank(list_idbank, startPeriod = "2015-01") %>%
split_title()
data_plot = data %>%
mutate(TITLE_EN6 = case_when(is.na(TITLE_EN6) ~ TITLE_EN5,
TRUE ~ as.character(TITLE_EN6))) %>%
mutate(TITLE_EN6 = substr(TITLE_EN6, 1 , 22)) %>%
mutate(month = month(DATE)) %>%
arrange(DATE) %>%
group_by(TITLE_EN6, month) %>%
mutate(growth = 100 * (OBS_VALUE / dplyr::lag(OBS_VALUE) - 1))
ggplot(data_plot, aes(x = DATE, y = growth)) +
geom_col() +
facet_wrap(~TITLE_EN6, scales = "free") +
ggtitle("French inflation, by product category, year-on-year") +
labs(subtitle = sprintf("Last updated : %s", data_plot$TIME_PERIOD[nrow(data_plot)]))