Last observation: 2019 (N = 13)
First observation: 1996 (N = 10)
Last data update: 09 sept. 2026, 00:23
Last compile: 09 sept. 2026, 00:23
Données - DGAFP
FT12_FPE_FPH_FPT |>
#filter(variable %in% c("FPT", "FPH", "FPE", "FP", "Emploi total")) %>%
group_by(variable) |>
mutate(date = date) |>
mutate(value = 100*value/value[1]) |>
ggplot() + geom_line(aes(x = date, y = value, color = variable)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1997, 2100, 2) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(0, 500, 10)) +
#scale_color_manual(values = viridis(6)[1:5]) +
theme(legend.position = c(0.15, 0.6),
legend.title = element_blank())
FT12_FPE_FPH_FPT |>
filter(grepl("part_public", variable)) |>
group_by(variable) |>
mutate(date = date) |>
ggplot() + geom_line(aes(x = date, y = value/100, color = variable)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1997, 2100, 2) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 500, .1),
labels = percent_format(acc = .1)) +
#scale_color_manual(values = viridis(6)[1:5]) +
theme(legend.position = c(0.15, 0.7),
legend.title = element_blank())
FT12_FPE_FPH_FPT |>
filter(grepl("part_public", variable)) |>
group_by(variable) |>
mutate(date = date) |>
filter(date >= as.Date("2009-01-01")) |>
ggplot() + geom_line(aes(x = date, y = value/100, color = variable)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1997, 2100, 1) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 500, .1),
labels = percent_format(acc = .1)) +
#scale_color_manual(values = viridis(6)[1:5]) +
theme(legend.position = c(0.15, 0.7),
legend.title = element_blank())
FT12_FPE_FPH_FPT |>
filter(variable %in% c("FPH_hopitaux", "Emploi total", "FPH", "FPH_autres", "FPH_EHPA")) |>
group_by(variable) |>
mutate(date = date) |>
filter(date >= as.Date("2010-01-01")) |>
mutate(value = 100*value/value[1]) |>
ggplot() + geom_line(aes(x = date, y = value, color = variable)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1997, 2100, 1) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(0, 500, 5)) +
#scale_color_manual(values = viridis(6)[1:5]) +
theme(legend.position = c(0.15, 0.7),
legend.title = element_blank()) +
geom_label_repel(data = . %>% filter(date == max(date)),
aes(x = date, y = value, label = variable, color = variable),
size = 2)
FT12_FPE_FPH_FPT |>
group_by(variable) |>
filter(!(grepl("EPA", variable))) |>
mutate(date = date) |>
mutate(value = 100*value/value[1]) |>
ggplot() + geom_line(aes(x = date, y = value, color = variable)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1997, 2100, 2) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(0, 500, 10)) +
#scale_color_manual(values = viridis(6)[1:5]) +
theme(legend.position = c(0.15, 0.7),
legend.title = element_blank()) +
geom_label_repel(data = . %>% filter(date == max(date)),
aes(x = date, y = value, label = variable, color = variable),
size = 2)
FT12_FPE_FPH_FPT |>
filter(!(grepl("EPA", variable))) |>
group_by(variable) |>
mutate(date = date) |>
filter(date >= as.Date("2010-01-01")) |>
mutate(value = 100*value/value[1]) |>
ggplot() + geom_line(aes(x = date, y = value, color = variable)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1997, 2100, 1) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(0, 500, 10)) +
#scale_color_manual(values = viridis(6)[1:5]) +
theme(legend.position = c(0.15, 0.6),
legend.title = element_blank()) +
geom_label_repel(data = . %>% filter(date == max(date)),
aes(x = date, y = value, label = variable, color = variable),
size = 2)
FT12_FPE_FPH_FPT |>
filter(variable %in% c( "FP", "Emploi total")) |>
spread(variable, value) |>
mutate(`Emploi privé` = `Emploi total`*1000 - FP) |>
gather(variable, value, -date, -year) |>
group_by(variable) |>
mutate(date = date) |>
mutate(value = 100*value/value[1]) |>
ggplot() + geom_line(aes(x = date, y = value, color = variable)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1997, 2100, 2) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(0, 500, 2)) +
#scale_color_manual(values = viridis(6)[1:5]) +
theme(legend.position = c(0.3, 0.8),
legend.title = element_blank())
FT12_FPE_FPH_FPT |>
filter(variable %in% c( "FP", "Emploi total")) |>
spread(variable, value) |>
mutate(`Emploi privé` = `Emploi total`*1000 - FP) |>
gather(variable, value, -date, -year) |>
group_by(variable) |>
mutate(date = date) |>
filter(date >= as.Date("1998-01-01")) |>
mutate(value = 100*value/value[1]) |>
ggplot() + geom_line(aes(x = date, y = value, color = variable)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1997, 2100, 2) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(0, 500, 2)) +
#scale_color_manual(values = viridis(6)[1:5]) +
theme(legend.position = c(0.3, 0.8),
legend.title = element_blank())
FT12_FPE_FPH_FPT |>
filter(variable %in% c("FPT", "FPH", "FPE", "FP", "Emploi total")) |>
group_by(variable) |>
mutate(date = date) |>
mutate(value = 100*value/value[1]) |>
ggplot() + geom_line(aes(x = date, y = value, color = variable)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1997, 2100, 2) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(0, 500, 10)) +
#scale_color_manual(values = viridis(6)[1:5]) +
theme(legend.position = c(0.3, 0.8),
legend.title = element_blank())