Code
%>%
GOV left_join(GOV_var$IND, by = "IND") %>%
group_by(IND, Ind) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
if (is_html_output()) datatable(., filter = 'top', rownames = F) else .} {
Data - OECD
%>%
GOV left_join(GOV_var$IND, by = "IND") %>%
group_by(IND, Ind) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
if (is_html_output()) datatable(., filter = 'top', rownames = F) else .} {
%>%
GOV left_join(GOV_var$COU, by = "COU") %>%
group_by(COU, Cou) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
arrange(-Nobs) %>%
mutate(Flag = gsub(" ", "-", str_to_lower(gsub(" ", "-", Cou))),
Flag = paste0('<img src="../../icon/flag/vsmall/', Flag, '.png" alt="Flag">')) %>%
select(Flag, everything()) %>%
if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .} {
%>%
GOV filter(COU %in% c("FRA", "DEU"),
== "GINV_GDP") %>%
IND %>%
year_to_date left_join(GOV_var$COU, by = "COU") %>%
ggplot() + geom_line(aes(x = date, y = obsValue/100, color = Cou)) +
theme_minimal() + ylab("Government investment (% of GDP)") + xlab("") +
geom_image(data = . %>%
filter(date == as.Date("2014-01-01")) %>%
mutate(image = paste0("../../icon/flag/", str_to_lower(gsub(" ", "-", Cou)), ".png")),
aes(x = date, y = obsValue/100, image = image), asp = 1.5) +
scale_color_manual(values = c("#002395", "#000000")) +
theme(legend.position = "none") +
scale_x_date(breaks = seq(1920, 2025, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 0.2),
labels = scales::percent_format(accuracy = .1))
%>%
GOV filter(COU %in% c("FRA", "DEU"),
== "GINV_GTE") %>%
IND %>%
year_to_date left_join(GOV_var$COU, by = "COU") %>%
ggplot() + geom_line(aes(x = date, y = obsValue/100, color = Cou)) +
theme_minimal() + ylab("Government investment (% of Expenditures)") + xlab("") +
geom_image(data = . %>%
filter(date == as.Date("2012-01-01")) %>%
mutate(image = paste0("../../icon/flag/", str_to_lower(gsub(" ", "-", Cou)), ".png")),
aes(x = date, y = obsValue/100, image = image), asp = 1.5) +
scale_color_manual(values = c("#002395", "#000000")) +
theme(legend.position = "none") +
scale_x_date(breaks = seq(1920, 2025, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 0.5),
labels = scales::percent_format(accuracy = .1))
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