Last observation: 2026M07 (N = 512)
First observation: 1980M01 (N = 106)
Last data update: 14 aoû 2026, 22:27. Last compile: 18 aoû 2026, 00:30
Data - Eurostat
Last observation: 2026M07 (N = 512)
First observation: 1980M01 (N = 106)
Last data update: 14 aoû 2026, 22:27. Last compile: 18 aoû 2026, 00:30
ei_bsin_m_r2 |>
filter(indic == "BS-IPE",
geo %in% c("FR", "DE", "IT"),
s_adj == "NSA") |>
select(geo, Geo, time, values) |>
mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) |>
month_to_date() |>
left_join(colors, by = c("Geo" = "country")) |>
ggplot() + ylab("Industrial confidence indicator") + xlab("") + theme_minimal() +
geom_line(aes(x = date, y = values, color = color)) +
scale_color_identity() + add_flags + theme(legend.position = "none") +
scale_x_date(breaks = seq(1920, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(-2000, 2000, 5))
ei_bsin_m_r2 |>
filter(indic == "BS-IPE",
geo %in% c("FR", "DE", "IT"),
s_adj == "NSA") |>
select(geo, Geo, time, values) |>
group_by(geo) |>
mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) |>
month_to_date() |>
filter(date >= as.Date("1995-01-01")) |>
left_join(colors, by = c("Geo" = "country")) |>
ggplot() + ylab("Industrial confidence indicator") + xlab("") + theme_minimal() +
geom_line(aes(x = date, y = values, color = color)) +
scale_color_identity() + add_flags + theme(legend.position = "none") +
scale_x_date(breaks = seq(1920, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(-2000, 2000, 5))
ei_bsin_m_r2 |>
filter(indic == "BS-IPE",
geo %in% c("FR", "DE", "IT"),
s_adj == "NSA") |>
select(geo, Geo, time, values) |>
group_by(geo) |>
mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) |>
month_to_date() |>
filter(date >= as.Date("2000-01-01")) |>
left_join(colors, by = c("Geo" = "country")) |>
ggplot() + ylab("Industrial confidence indicator") + xlab("") + theme_minimal() +
geom_line(aes(x = date, y = values, color = color)) +
scale_color_identity() + add_flags + theme(legend.position = "none") +
scale_x_date(breaks = seq(1920, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(-2000, 2000, 5))
ei_bsin_m_r2 |>
filter(indic == "BS-IPE",
geo %in% c("FR", "DE", "IT"),
s_adj == "NSA") |>
select(geo, Geo, time, values) |>
group_by(geo) |>
mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) |>
month_to_date() |>
filter(date >= as.Date("2015-01-01")) |>
left_join(colors, by = c("Geo" = "country")) |>
ggplot() + ylab("Industrial confidence indicator") + xlab("") + theme_minimal() +
geom_line(aes(x = date, y = values, color = color)) +
scale_color_identity() + add_flags + theme(legend.position = "none") +
scale_x_date(breaks = seq(1920, 2100, 1) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(-2000, 2000, 5))
ei_bsin_m_r2 |>
filter(indic == "BS-ICI",
geo %in% c("FR", "DE", "IT"),
s_adj == "NSA") |>
select(geo, Geo, time, values) |>
mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) |>
month_to_date() |>
left_join(colors, by = c("Geo" = "country")) |>
ggplot() + ylab("Industrial confidence indicator") + xlab("") + theme_minimal() +
geom_line(aes(x = date, y = values, color = color)) +
scale_color_identity() + add_flags + theme(legend.position = "none") +
scale_x_date(breaks = seq(1920, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(-2000, 2000, 5))
ei_bsin_m_r2 |>
filter(indic == "BS-ICI",
geo %in% c("FR", "DE", "IT"),
s_adj == "NSA") |>
select(geo, Geo, time, values) |>
group_by(geo) |>
mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) |>
month_to_date() |>
filter(date >= as.Date("1995-01-01")) |>
left_join(colors, by = c("Geo" = "country")) |>
ggplot() + ylab("Industrial confidence indicator") + xlab("") + theme_minimal() +
geom_line(aes(x = date, y = values, color = color)) +
scale_color_identity() + add_flags + theme(legend.position = "none") +
scale_x_date(breaks = seq(1920, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(-2000, 2000, 5))
ei_bsin_m_r2 |>
filter(indic == "BS-ICI",
geo %in% c("FR", "DE", "IT"),
s_adj == "NSA") |>
select(geo, Geo, time, values) |>
group_by(geo) |>
mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) |>
month_to_date() |>
filter(date >= as.Date("2000-01-01")) |>
left_join(colors, by = c("Geo" = "country")) |>
ggplot() + ylab("Industrial confidence indicator") + xlab("") + theme_minimal() +
geom_line(aes(x = date, y = values, color = color)) +
scale_color_identity() + add_flags + theme(legend.position = "none") +
scale_x_date(breaks = seq(1920, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(-2000, 2000, 5))
ei_bsin_m_r2 |>
filter(indic == "BS-IOB",
geo %in% c("FR", "DE", "IT"),
s_adj == "NSA") |>
select(geo, Geo, time, values) |>
mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) |>
month_to_date() |>
left_join(colors, by = c("Geo" = "country")) |>
ggplot() + ylab("Assessment of order books levels") + xlab("") + theme_minimal() +
geom_line(aes(x = date, y = values, color = color)) +
scale_color_identity() + add_flags + theme(legend.position = "none") +
scale_x_date(breaks = seq(1920, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(-2000, 2000, 10))