Last observation: 2020-12-31 (N = 76)
First observation: 1925-12-31 (N = 76)
Last data update: 25 jul 2026, 12:36. Last compile: 17 aoû 2026, 22:18
Data - BEA
Last observation: 2020-12-31 (N = 76)
First observation: 1925-12-31 (N = 76)
Last data update: 25 jul 2026, 12:36. Last compile: 17 aoû 2026, 22:18
FAAt401 |>
filter(Line %in% c(5, 6, 8, 15)) |>
rename(variable = LineDescription) |>
left_join(gdp_adjustment, by = "date") |>
mutate(value = 1000 * `Real GDP / Real GDP Trend (Log Linear)` * value / GDP) |>
ggplot() + geom_line(aes(x = date, y = value, color = variable, linetype = variable)) +
ylab("% of GDP") + xlab("") +
theme_minimal()+
geom_rect(data = nber_recessions |>
filter(Peak > as.Date("1927-01-01")),
aes(xmin = Peak, xmax = Trough, ymin = -Inf, ymax = +Inf),
fill = 'grey', alpha = 0.5) +
scale_x_date(breaks = nber_recessions$Peak,
minor_breaks = "5 years",
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(0, 160, 10),
labels = scales::percent_format(accuracy = 1)) +
scale_color_manual(values = viridis(5)[1:4]) +
theme(legend.position = c(0.2, 0.3),
legend.title = element_blank(),
legend.text = element_text(size = 8),
legend.key.size = unit(0.9, 'lines'))
FAAt401 |>
mutate(year = year(date)) |>
filter(year %in% c(1938, 1958, 1978, 1998, 2018)) |>
group_by(year) |>
mutate(value = round(100*value/value[1], 1)) |>
ungroup() |>
select(Line, LineDescription, year, value) |>
spread(year, value) %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}FAAt401 |>
mutate(year = year(date)) |>
filter(year %in% c(1938, 1958, 1978, 1998, 2018)) |>
group_by(year) |>
mutate(value = round(value)) |>
ungroup() |>
select(Line, LineDescription, year, value) |>
spread(year, value) %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}