rdb(ids = c("OECD/QNA/FRA.B1_GE.CARSA.Q",
"OECD/QNA/USA.B1_GE.CARSA.Q",
"OECD/QNA/ITA.B1_GE.CARSA.Q",
"OECD/QNA/GBR.B1_GE.CARSA.Q",
"OECD/QNA/ESP.B1_GE.CARSA.Q",
"OECD/QNA/DEU.B1_GE.CARSA.Q")) |>
filter(period >= as.Date("2019-10-01")) |>
select(Country, period, value) |>
group_by(Country) |>
mutate(value = 100*value/value[1]) |>
ggplot() + geom_line(aes(x = period, y = value, color = Country)) +
theme_minimal() + xlab("") + ylab("Nominal GDP") +
theme(legend.position = c(0.85, 0.3),
legend.title = element_blank()) +
scale_x_date(breaks = "3 months",
labels = date_format("%m-%Y")) +
scale_y_continuous(breaks = seq(80, 120, 2))