Indices des prix à la consommation harmonisés - IPCH-2005

Données - INSEE

Structure

TITLE_FR

Code
`IPCH-2005` |>
  group_by(TITLE_FR, IDBANK) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) |>
  print_table_conditional()

REF_AREA

Code
`IPCH-2005` |>
  group_by(REF_AREA) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) |>
  print_table_conditional()
REF_AREA Nobs
FE 36225

TITLE_FR

Code
`IPCH-2005` |>
  group_by(TITLE_FR, IDBANK) |>
  summarise(Nobs = n()) |>
  arrange(-Nobs) |>
  print_table_conditional()

TIME_PERIOD

Code
`IPCH-2005` |>
  group_by(TIME_PERIOD) |>
  summarise(Nobs = n()) |>
  arrange(desc(TIME_PERIOD)) |>
  print_table_conditional()

Comparatif Pondérations IPC et IPCH

Santé

06 - Santé

Code
`IPCH-2005` |>
  rename(COICOP2016 = PRODUITS_IPCH2005) |>
  bind_rows(`IPC-2015`) |>
  filter(COICOP2016 %in% c("06", "T06"),
         NATURE == "POND",
         REF_AREA == "FE",
         is.na(MENAGES_IPC) | MENAGES_IPC == "ENSEMBLE") |>
  year_to_date() |>
  group_by(INDICATEUR) |>
  filter(date >= as.Date("1996-01-01")) |>
  arrange(date) |>
  ggplot() + ylab("Pondération de la Santé dans l'IPC, IPCH") + xlab("") + theme_minimal() +
  geom_line(aes(x = date, y = OBS_VALUE/10000, color = Indicateur)) +
  scale_color_manual(values = viridis(3)[1:2]) +
  scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  theme(legend.position = c(0.7, 0.55),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = 0.01*seq(0, 300, 1),
                     labels = percent_format(accuracy = 1))