Last observation: M: 2026-07 (N = 3)
First observation: M: 1977-01 (N = 1)
Last data update: 16 aoû 2026, 19:48. Last compile: 17 aoû 2026, 22:31
Données - INSEE
Last observation: M: 2026-07 (N = 3)
First observation: M: 1977-01 (N = 1)
Last data update: 16 aoû 2026, 19:48. Last compile: 17 aoû 2026, 22:31
`CLIMAT-AFFAIRES` |>
filter(INDICATEUR == "RETOURNEMENT") |>
month_to_date() |>
ggplot() + theme_minimal() + ylab("INDICATEUR de retournement conjoncturel") + xlab("") +
geom_line(aes(x = date, y = OBS_VALUE, color = INDICATEUR)) +
scale_x_date(breaks = seq(1920, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
theme(legend.position = c(0.3, 0.2),
legend.title = element_blank()) +
scale_y_continuous(breaks = seq(10, 200, 5))
`CLIMAT-AFFAIRES` |>
filter(INDICATEUR == "RETOURNEMENT") |>
month_to_date() |>
filter(date >+ as.Date("2006-01-01")) |>
ggplot() + theme_minimal() + ylab("Indicateur synthétique de retournement conjoncturel") + xlab("") +
geom_line(aes(x = date, y = OBS_VALUE)) +
scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
theme(legend.position = c(0.3, 0.2),
legend.title = element_blank()) +
scale_y_continuous(breaks = seq(-1, 1, 0.1))
`CLIMAT-AFFAIRES` |>
filter(INDICATEUR != "RETOURNEMENT") |>
month_to_date() |>
ggplot() + theme_minimal() + ylab("INDICATEUR synthétique du climat") + xlab("") +
geom_line(aes(x = date, y = OBS_VALUE, color = INDICATEUR)) +
scale_x_date(breaks = seq(1920, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
theme(legend.position = c(0.3, 0.2),
legend.title = element_blank()) +
scale_y_log10(breaks = seq(10, 200, 5))
`CLIMAT-AFFAIRES` |>
filter(INDICATEUR != "RETOURNEMENT") |>
month_to_date() |>
filter(date >= as.Date("1995-01-01")) |>
ggplot() + theme_minimal() + ylab("INDICATEUR synthétique du climat") + xlab("") +
geom_line(aes(x = date, y = OBS_VALUE, color = INDICATEUR)) +
scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
theme(legend.position = c(0.25, 0.2),
legend.title = element_blank()) +
scale_y_log10(breaks = seq(10, 200, 5)) +
geom_hline(yintercept = 100, linetype = "dashed")
`CLIMAT-AFFAIRES` |>
filter(INDICATEUR != "RETOURNEMENT") |>
month_to_date() |>
filter(date >= as.Date("2005-01-01")) |>
mutate(OBS_VALUE = ifelse(year(date) == 2020 & month(date) %in% c(3, 4, 5, 6), NA, OBS_VALUE)) |>
ggplot() + theme_minimal() + ylab("INDICATEUR synthétique du climat\n hors Mars-Juin 2020") + xlab("") +
geom_line(aes(x = date, y = OBS_VALUE, color = INDICATEUR)) +
scale_x_date(breaks = seq(1920, 2100, 2) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
theme(legend.position = c(0.6, 0.15),
legend.title = element_blank()) +
scale_y_log10(breaks = seq(10, 200, 5)) +
geom_hline(yintercept = 100, linetype = "dashed") +
geom_rect(data = data_frame(start = as.Date("2020-02-01"),
end = as.Date("2020-07-01")),
aes(xmin = start, xmax = end, ymin = 0, ymax = +Inf), fill = viridis(4)[4], alpha = 0.2)
`CLIMAT-AFFAIRES` |>
filter(INDICATEUR != "RETOURNEMENT") |>
month_to_date() |>
filter(date >= as.Date("2017-04-01")) |>
ggplot() + theme_minimal() + ylab("INDICATEUR synthétique du climat") + xlab("") +
geom_line(aes(x = date, y = OBS_VALUE, color = INDICATEUR)) +
scale_x_date(breaks = seq(1920, 2100, 1) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
theme(legend.position = c(0.25, 0.2),
legend.title = element_blank()) +
scale_y_log10(breaks = seq(10, 200, 5)) +
geom_hline(yintercept = 100, linetype = "dashed")