Code
F1 |>
group_by(date) |>
summarise(Nobs = n()) |>
print_table_conditional()
Données - INSEE
Last observation: 2023 (N = 4)
First observation: 1960 (N = 4)
Last data update: 02 août 2026, 11:05
Last compile: 05 sept. 2026, 02:53
F1 |>
group_by(date) |>
summarise(Nobs = n()) |>
print_table_conditional()F1 |>
left_join(variable, by = "Variable") |>
group_by(variable, Variable) |>
summarise(Nobs = n()) |>
print_table_conditional()| variable | Variable | Nobs |
|---|---|---|
| PA_RDB | Pouvoir d’achat du RDB | 66 |
| PA_RDB_ARB | Pouvoir d’achat du revenu arbitrable | 66 |
| PA_RDB_ARB_UC | Pouvoir d’achat du revenu arbitrable par UC | 66 |
| PA_RDB_UC | Pouvoir d’achat du RDB par UC | 66 |
ig_b("insee", "RPM2024", "F1", "fig3")
Rouge: 211, 104, 121 ->
Bleu: 69, 100, 156 ->
plot_lineaire <- F1 |>
left_join(variable, by = "Variable") |>
filter(variable %in% c("PA_RDB", "PA_RDB_UC")) |>
ggplot(aes(x = date, y = value, color = Variable)) + geom_line(size = 1.5) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2100, 7) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(100, 1000, 100)) +
scale_color_manual(values = c("#45639c", "#d3687a")) +
theme(legend.title = element_blank(),
panel.grid.major.x = element_blank(),
panel.grid.minor.x = element_blank(),
panel.grid.minor.y = element_blank(),
legend.position = "top")
plot_lineaire
plot_log <- plot_lineaire + scale_y_log10(breaks = seq(100, 1000, 100))
plot_log
ggpubr::ggarrange(plot_lineaire, plot_log, common.legend = T)