Last data update: 29 sept. 2026, 17:25
Last compile: 29 sept. 2026, 17:26
fig1 |>
filter(categorie == "Total", !ministere %in% agregats, annee == max(annee)) |>
mutate(ministere = fct_reorder(ministere, valeur)) |>
ggplot(aes(x = ministere, y = valeur / 1000)) +
geom_col(fill = "#1B3F8B") +
coord_flip() +
theme_minimal(base_size = 8) +
labs(x = NULL, y = "Milliers d'agents",
title = "Effectifs physiques par ministère",
subtitle = "ministères et EPA rattachés, dernière année disponible") +
theme(panel.grid.minor = element_blank())
fig1 |>
filter(categorie == "Total", !ministere %in% agregats) |>
group_by(ministere) |>
filter(annee %in% c(min(annee), max(annee))) |>
arrange(annee, .by_group = TRUE) |>
mutate(evolution = 100 * (valeur / first(valeur) - 1)) |>
filter(annee == max(annee)) |>
ungroup() |>
mutate(ministere = fct_reorder(ministere, evolution)) |>
ggplot(aes(x = ministere, y = evolution)) +
geom_col(fill = "#E8737A") +
geom_hline(yintercept = 0, color = "grey30") +
coord_flip() +
theme_minimal(base_size = 8) +
labs(x = NULL, y = "% d'évolution",
title = "Évolution des effectifs par ministère",
subtitle = "depuis 1998") +
theme(panel.grid.minor = element_blank())
fig3 |>
filter(statut != "Total ministères") |>
ggplot(aes(x = annee, y = valeur / 1000, fill = statut)) +
geom_col() +
scale_fill_brewer(palette = "Set2", name = NULL) +
theme_minimal(base_size = 10) +
labs(x = NULL, y = "Milliers d'agents",
title = "Effectifs des ministères par statut",
subtitle = "1998-2019") +
theme(legend.position = "bottom", panel.grid.minor = element_blank())
fig_ministere |>
filter(mesure == "Part des femmes (%)", categorie == "Total FPE", !ministere %in% agregats,
annee == max(annee)) |>
mutate(ministere = fct_reorder(ministere, valeur)) |>
ggplot(aes(x = ministere, y = valeur / 100)) +
geom_col(fill = "#1B3F8B") +
coord_flip() +
scale_y_continuous(labels = scales::percent_format(accuracy = 1)) +
theme_minimal(base_size = 8) +
labs(x = NULL, y = NULL,
title = "Part des femmes par ministère",
subtitle = "dernière année disponible") +
theme(panel.grid.minor = element_blank())
fig_ministere |>
filter(mesure == "Âge moyen (années)", categorie == "Total FPE", !ministere %in% agregats,
annee == max(annee)) |>
mutate(ministere = fct_reorder(ministere, valeur)) |>
ggplot(aes(x = ministere, y = valeur)) +
geom_col(fill = "#E8737A") +
coord_flip() +
theme_minimal(base_size = 8) +
labs(x = NULL, y = "Âge moyen (années)",
title = "Âge moyen par ministère",
subtitle = "dernière année disponible") +
theme(panel.grid.minor = element_blank())