Last observation: Q: 2026-Q2 (N = 35) · A: 2025 (N = 434)
First observation: A: 1947 (N = 6) · Q: 1947-Q1 (N = 5)
Last data update: 16 aoû 2026, 20:58. Last compile: 18 aoû 2026, 02:07
Data - OECD
Last observation: Q: 2026-Q2 (N = 35) · A: 2025 (N = 434)
First observation: A: 1947 (N = 6) · Q: 1947-Q1 (N = 5)
Last data update: 16 aoû 2026, 20:58. Last compile: 18 aoû 2026, 02:07
QNA_INCOME |>
filter(REF_AREA %in% c("USA", "EA", "FRA", "DEU"),
FREQ == "Q",
TRANSACTION == "D1",
ADJUSTMENT == "Y") |>
quarter_to_date() |>
arrange(desc(date)) |>
rename(LOCATION = REF_AREA) |>
filter(date >= as.Date("1995-01-01")) |>
mutate(Ref_area = ifelse(LOCATION == "EA", "Europe", Ref_area)) |>
group_by(Ref_area) |>
arrange(date) |>
mutate(obsValue = 100 * obsValue / obsValue[1]) |>
left_join(colors, by = c("Ref_area" = "country")) |>
mutate(color = ifelse(LOCATION != "DEU", color2, color)) |>
ggplot() + theme_minimal() + xlab("") + ylab("") +
geom_line(aes(x = date, y = obsValue, color = color)) + add_4flags +
scale_color_identity() +
scale_x_date(breaks = c(seq(1995, 2100, 5)) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
theme(legend.position = "none") +
scale_y_log10(breaks = seq(100, 500, 20))
QNA_INCOME |>
filter(REF_AREA %in% c("USA", "EA", "FRA", "DEU"),
FREQ == "Q",
TRANSACTION == "D1",
ADJUSTMENT == "Y") |>
quarter_to_date() |>
rename(LOCATION = REF_AREA) |>
filter(date >= as.Date("1999-01-01")) |>
mutate(Ref_area = ifelse(LOCATION == "EA", "Europe", Ref_area)) |>
group_by(Ref_area) |>
mutate(obsValue = 100 * obsValue / obsValue[date == as.Date("1999-01-01")]) |>
left_join(colors, by = c("Ref_area" = "country")) |>
mutate(color = ifelse(LOCATION != "DEU", color2, color)) |>
ggplot() + theme_minimal() + xlab("") + ylab("") +
geom_line(aes(x = date, y = obsValue, color = color)) + add_4flags +
scale_color_identity() +
scale_x_date(breaks = c(seq(1999, 2100, 5), seq(1997, 2100, 5)) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
theme(legend.position = "none") +
scale_y_log10(breaks = seq(50, 400, 10))
QNA_INCOME |>
filter(REF_AREA %in% c("USA", "EA", "FRA", "DEU"),
FREQ == "Q",
TRANSACTION == "B1GQ",
ADJUSTMENT == "Y") |>
quarter_to_date() |>
arrange(desc(date)) |>
rename(LOCATION = REF_AREA) |>
filter(date >= as.Date("1995-01-01")) |>
mutate(Ref_area = ifelse(LOCATION == "EA", "Europe", Ref_area)) |>
group_by(Ref_area) |>
arrange(date) |>
mutate(obsValue = 100 * obsValue / obsValue[1]) |>
left_join(colors, by = c("Ref_area" = "country")) |>
mutate(color = ifelse(LOCATION != "DEU", color2, color)) |>
ggplot() + theme_minimal() + xlab("") + ylab("") +
geom_line(aes(x = date, y = obsValue, color = color)) + add_4flags +
scale_color_identity() +
scale_x_date(breaks = c(seq(1995, 2100, 5)) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
theme(legend.position = "none") +
scale_y_log10(breaks = seq(100, 500, 20))
QNA_INCOME |>
filter(REF_AREA %in% c("USA", "EA", "FRA", "DEU"),
FREQ == "Q",
TRANSACTION == "B1GQ",
ADJUSTMENT == "Y") |>
quarter_to_date() |>
rename(LOCATION = REF_AREA) |>
filter(date >= as.Date("1999-01-01")) |>
mutate(Ref_area = ifelse(LOCATION == "EA", "Europe", Ref_area)) |>
group_by(Ref_area) |>
mutate(obsValue = 100 * obsValue / obsValue[date == as.Date("1999-01-01")]) |>
left_join(colors, by = c("Ref_area" = "country")) |>
mutate(color = ifelse(LOCATION != "DEU", color2, color)) |>
ggplot() + theme_minimal() + xlab("") + ylab("") +
geom_line(aes(x = date, y = obsValue, color = color)) + add_4flags +
scale_color_identity() +
scale_x_date(breaks = c(seq(1999, 2100, 5), seq(1997, 2100, 5)) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
theme(legend.position = "none") +
scale_y_log10(breaks = seq(50, 400, 10))