Nothing
library(insee)
library(dplyr)
library(lubridate)
ipchm <- get_idbank_list("IPCH-2015") |>
filter(COICOP2016=="00", FREQ=="M", NATURE=="INDICE") |>
pull(idbank) |>
get_insee_idbank() |>
select(DATE, ipch = OBS_VALUE, IDBANK)
ipch <- ipchm |>
mutate(DATE = floor_date(DATE, unit="quarter")) |>
group_by(DATE) |>
summarise(ipch = mean(ipch))
ipcha <- ipch |>
mutate(y = year(DATE)) |>
group_by(y) |>
summarize(ipch = mean(ipch)) |>
mutate(ipch = ipch / ipch[y == 2023])
return(list(ipcha = ipcha, ipchm = ipchm, ipch = ipch))
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