Last observation: 2025 (N = 78)
First observation: 1970 (N = 73)
Last data update: 15 sept. 2026, 00:33
Last compile: 16 sept. 2026, 21:15
CPIa_var$frequency |>
print_table_conditional()| frequency | Frequency |
|---|---|
| A | Annual |
CPIa |>
filter(series_code %in% c("001", "737")) |>
select(series_name, period, value) |>
spread(series_name, value) |>
mutate(`Real Rent, less imputed rent` = 100 * `Rent, less imputed rent` / `All items`) |>
gather(series_name, value, -period) |>
ggplot() + geom_line(aes(x = period, y = value, color = series_name)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_log10(breaks = seq(0, 200, 5)) +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.position = c(0.7, 0.2),
legend.title = element_blank())
CPIa |>
filter(series_code %in% c("001", "737"),
period >= as.Date("1985-01-01")) |>
select(series_name, period, value) |>
spread(series_name, value) |>
mutate(`Real Rent, less imputed rent` = 100 * `Rent, less imputed rent` / `All items`) |>
gather(series_name, value, -period) |>
ggplot() + geom_line(aes(x = period, y = value, color = series_name)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_log10(breaks = seq(0, 200, 5)) +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.position = c(0.7, 0.2),
legend.title = element_blank())
CPIa |>
filter(series_code %in% c("282", "736", "737")) |>
ggplot() + geom_line(aes(x = period, y = value, color = series_name)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_log10(breaks = seq(0, 200, 5)) +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.position = c(0.7, 0.2),
legend.title = element_blank())
CPIa |>
filter(series_code %in% c("282", "736", "737"),
period >= as.Date("1985-01-01")) |>
ggplot() + geom_line(aes(x = period, y = value, color = series_name)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_log10(breaks = seq(0, 200, 5)) +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.position = c(0.7, 0.2),
legend.title = element_blank())
CPIa |>
filter(series_code %in% c("282", "736", "737"),
period >= as.Date("2000-01-01")) |>
ggplot() + geom_line(aes(x = period, y = value, color = series_name)) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = seq(1960, 2100, 2) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_log10(breaks = seq(0, 200, 1)) +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.position = c(0.7, 0.8),
legend.title = element_blank())