3.302 – Dépenses de l’administration publique centrale (S1311) ventilées par fonction (En milliards d’euros) - t_3302

Données - INSEE

2019

Ordre Ligne

t_3302 |>
  left_join(gdp, by = "date") |>
  filter(date == as.Date("2018-01-01")) |>
  select(-date) %>%
  mutate(`% du PIB` = (100*value/(gdp)) |> round(digits = 2),
         value = round(value) |> paste0(" M€")) |>
  select(-gdp) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Ordre décroissant

t_3302 |>
  left_join(gdp, by = "date") |>
  filter(date == as.Date("2018-01-01")) |>
  select(-date) %>%
  mutate(`% du PIB` = (100*value/(gdp)) |> round(digits = 2),
         value = round(value)) |>
  select(-gdp) |>
  arrange(-value) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Santé, Services ambulatoires, hospitaliers

t_3302 |>
  filter(line %in% c(49, 51, 52)) |>
  left_join(gdp, by = "date") |>
  ggplot() + geom_line(aes(x = date, y = value / gdp, color = Line, linetype = Line)) +
  theme_minimal() + xlab("") + ylab("% du PIB") +
  scale_x_date(breaks = seq(1960, 2100, 2) |> paste0("-01-01") |> as.Date(),
               labels = date_format("%Y")) +
  scale_y_continuous(breaks = 0.01*seq(0, 500, .1),
                     labels = percent_format(accuracy = .1)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme(legend.position = c(0.75, 0.15),
        legend.title = element_blank())