Last observation: Q2 2026 (N = 2) · 2025 (N = 3)
First observation: 1991 (N = 2) · Q1 1991 (N = 2)
Last data update: 14 sept. 2026, 23:31
Last compile: 15 sept. 2026, 01:56
freq_dominant <- INW |>
filter(!is.na(OBS_VALUE)) |>
count(FREQ, sort = TRUE) |>
slice(1) |>
pull(FREQ)
convert_fn <- switch(freq_dominant,
"A" = year_to_date, "Q" = quarter_to_date, "M" = month_to_date,
"H" = semester_to_date, "W" = week_to_date, "D" = day_to_date, "B" = day_to_date,
year_to_date)
INW |>
filter(!is.na(OBS_VALUE), FREQ == freq_dominant) |>
group_by(TIME_PERIOD) |>
summarise(OBS_VALUE = mean(OBS_VALUE, na.rm = TRUE), .groups = "drop") |>
convert_fn() |>
ggplot() + theme_minimal() + xlab("") + ylab("Average value across all series") +
geom_line(aes(x = date, y = OBS_VALUE)) +
scale_x_date(date_labels = "%Y")
INW |>
filter(REF_AREA == "U2", FREQ == "Q", !is.na(OBS_VALUE)) |>
quarter_to_date() |>
ggplot() + theme_minimal() + xlab("") +
ylab("Negotiated wage rates (% year-on-year)") +
geom_hline(yintercept = 3, linetype = "dashed") +
geom_line(aes(x = date, y = OBS_VALUE)) +
scale_x_date(breaks = as.Date(paste0(seq(1990, 2100, 3), "-01-01")),
labels = date_format("%Y")) +
scale_y_continuous(breaks = seq(0, 10, 1),
labels = function(x) paste0(x, "%"))