Code
GGXWDG_GDP |>
group_by(TIME_PERIOD) |>
summarise(Nobs = n()) |>
arrange(desc(TIME_PERIOD)) |>
print_table_conditional()Data - IMF
GGXWDG_GDP |>
group_by(TIME_PERIOD) |>
summarise(Nobs = n()) |>
arrange(desc(TIME_PERIOD)) |>
print_table_conditional()GGXWDG_GDP |>
year_to_date2() |>
filter(REF_AREA %in% c("US", "FR", "JP", "DE", "IT")) |>
left_join(REF_AREA, by = "REF_AREA") |>
left_join(colors, by = c("Ref_area" = "country")) |>
mutate(OBS_VALUE = OBS_VALUE / 100,
Counterpart_area = Ref_area) |>
ggplot() + geom_line(aes(x = date, y = OBS_VALUE, color = color)) +
theme_minimal() + scale_color_identity() + xlab("") + ylab("Government Debt (% of GDP)") +
add_flags +
theme(legend.position = "none") +
scale_y_continuous(breaks = 0.01*seq(0, 260, 20),
labels = scales::percent_format(accuracy = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 20), "-01-01")),
labels = date_format("%Y"))
GGXWDG_GDP |>
filter(TIME_PERIOD == "2015") |>
left_join(REF_AREA, by = "REF_AREA") %>%
mutate(OBS_VALUE = round(OBS_VALUE) |> paste0(" %")) |>
select(REF_AREA, Ref_area, `Public Debt (2015)` = OBS_VALUE) |>
as.tibble() %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}GGXWDG_GDP |>
filter(REF_AREA %in% c("AT")) |>
year_to_date2() |>
ggplot() + geom_line(aes(x = date, y = OBS_VALUE / 100)) + theme_minimal() +
scale_y_continuous(breaks = 0.01*seq(0, 260, 10),
labels = scales::percent_format(accuracy = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 20), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Government Debt (% of GDP)")
GGXWDG_GDP |>
year_to_date2() |>
filter(REF_AREA %in% c("SG")) |>
ggplot() + geom_line(aes(x = date, y = OBS_VALUE / 100)) + theme_minimal() +
scale_y_continuous(breaks = 0.01*seq(0, 260, 10),
labels = scales::percent_format(accuracy = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 5), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Government Debt (% of GDP)")
GGXWDG_GDP |>
year_to_date2() |>
filter(REF_AREA %in% c("US", "GB")) |>
left_join(REF_AREA, by = "REF_AREA") |>
mutate(OBS_VALUE = OBS_VALUE / 100) |>
left_join(colors, by = c("Ref_area" = "country")) |>
ggplot() + scale_color_identity() + add_flags + geom_line(aes(x = date, y = OBS_VALUE, color = color)) + theme_minimal() +
geom_image(data = . %>%
filter(date == as.Date("1840-01-01")) %>%
mutate(date = as.Date("1840-01-01"),
image = paste0("../../icon/flag/round/", str_to_lower(gsub(" ", "-", Ref_area)), ".png")),
aes(x = date, y = OBS_VALUE/100, image = image), asp = 1.5) +
theme(legend.position = "none") +
scale_y_continuous(breaks = 0.01*seq(0, 260, 20),
labels = scales::percent_format(accuracy = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 20), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Government Debt (% of GDP)")
GGXWDG_GDP |>
year_to_date2() |>
filter(REF_AREA %in% c("US", "GB", "FR")) |>
group_by(REF_AREA) |>
mutate(year = year(date)) |>
complete(date = seq.Date(min(date), max(date), by = "year")) |>
left_join(REF_AREA, by = "REF_AREA") |>
mutate(OBS_VALUE = OBS_VALUE / 100) |>
left_join(colors, by = c("Ref_area" = "country")) |>
ggplot() + scale_color_identity() + add_flags + geom_line(aes(x = date, y = OBS_VALUE, color = color)) + theme_minimal() +
geom_image(data = . %>%
filter(date == as.Date("1895-01-01")) %>%
mutate(date = as.Date("1895-01-01"),
image = paste0("../../icon/flag/round/", str_to_lower(gsub(" ", "-", Ref_area)), ".png")),
aes(x = date, y = OBS_VALUE/100, image = image), asp = 1.5) +
theme(legend.position = "none") +
scale_y_continuous(breaks = 0.01*seq(0, 260, 20),
labels = scales::percent_format(accuracy = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 20), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Government Debt (% of GDP)")
GGXWDG_GDP |>
year_to_date2() |>
filter(REF_AREA %in% c("US", "GB")) |>
bind_rows(gfd_france) |>
left_join(REF_AREA, by = "REF_AREA") |>
mutate(OBS_VALUE = OBS_VALUE / 100) |>
left_join(colors, by = c("Ref_area" = "country")) |>
ggplot() + scale_color_identity() + add_flags + geom_line(aes(x = date, y = OBS_VALUE, color = color)) + theme_minimal() +
geom_image(data = . %>%
filter(date == as.Date("1895-01-01")) %>%
mutate(date = as.Date("1895-01-01"),
image = paste0("../../icon/flag/round/", str_to_lower(gsub(" ", "-", Ref_area)), ".png")),
aes(x = date, y = OBS_VALUE/100, image = image), asp = 1.5) +
theme(legend.position = "none") +
scale_y_continuous(breaks = 0.01*seq(0, 260, 20),
labels = scales::percent_format(accuracy = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 20), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Government Debt (% of GDP)")
GGXWDG_GDP |>
year_to_date2() |>
filter(REF_AREA %in% c("US", "GB")) |>
bind_rows(gfd_france) |>
left_join(REF_AREA, by = "REF_AREA") |>
mutate(OBS_VALUE = OBS_VALUE / 100) |>
left_join(colors, by = c("Ref_area" = "country")) |>
ggplot() + scale_color_identity() + add_flags + geom_line(aes(x = date, y = OBS_VALUE, color = color)) + theme_minimal() +
geom_image(data = . %>%
filter(date == as.Date("1895-01-01")) %>%
mutate(date = as.Date("1895-01-01"),
image = paste0("../../icon/flag/round/", str_to_lower(gsub(" ", "-", Ref_area)), ".png")),
aes(x = date, y = OBS_VALUE/100, image = image), asp = 1.5) +
theme(legend.position = "none") +
scale_y_continuous(breaks = 0.01*seq(0, 260, 20),
labels = scales::percent_format(accuracy = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 20), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Government Debt (% of GDP)")
GGXWDG_GDP |>
year_to_date2() |>
filter(REF_AREA %in% c("US")) |>
bind_rows(gfd_france) |>
bind_rows(gfd_japan) |>
left_join(REF_AREA, by = "REF_AREA") |>
left_join(colors, by = c("Ref_area" = "country")) |>
mutate(OBS_VALUE = OBS_VALUE / 100,
Counterpart_area = Ref_area) |>
ggplot() + geom_line(aes(x = date, y = OBS_VALUE, color = color)) +
theme_minimal() + scale_color_identity() + xlab("") + ylab("Government Debt (% of GDP)") +
add_flags +
theme(legend.position = "none") +
scale_y_continuous(breaks = 0.01*seq(0, 260, 20),
labels = scales::percent_format(accuracy = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 20), "-01-01")),
labels = date_format("%Y"))
GGXWDG_GDP |>
year_to_date2() |>
filter(REF_AREA %in% c("US", "GB")) |>
bind_rows(gfd_france) |>
bind_rows(gfd_japan) |>
bind_rows(gfd_italy) |>
left_join(REF_AREA, by = "REF_AREA") |>
mutate(OBS_VALUE = OBS_VALUE / 100) |>
left_join(colors, by = c("Ref_area" = "country")) |>
ggplot() + scale_color_identity() + add_flags + geom_line(aes(x = date, y = OBS_VALUE, color = color)) +
theme_minimal() +
scale_linetype_manual(values = c("solid", "solid", "longdash","solid", "solid")) +
geom_image(data = . %>%
filter(date == as.Date("1887-01-01")) %>%
mutate(date = as.Date("1887-01-01"),
image = paste0("../../icon/flag/round/", str_to_lower(gsub(" ", "-", Ref_area)), ".png")),
aes(x = date, y = OBS_VALUE/100, image = image), asp = 1.5) +
theme(legend.position = c(0.5, 0.97),
legend.title = element_blank(),
legend.direction = "horizontal") +
scale_y_continuous(breaks = 0.01*seq(0, 260, 20),
labels = scales::percent_format(accuracy = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 20), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Government Debt (% of GDP)")
GGXWDG_GDP |>
year_to_date2() |>
filter(REF_AREA %in% c("US", "GB")) |>
bind_rows(gfd_france) |>
bind_rows(gfd_japan) |>
bind_rows(gfd_italy) |>
left_join(REF_AREA, by = "REF_AREA") |>
mutate(OBS_VALUE = OBS_VALUE / 100) |>
left_join(colors, by = c("Ref_area" = "country")) |>
ggplot() + scale_color_identity() + add_flags + geom_line(aes(x = date, y = OBS_VALUE, color = color)) +
theme_minimal() +
scale_linetype_manual(values = c("solid", "solid","longdash","solid", "solid")) +
geom_image(data = . %>%
filter(date == as.Date("1887-01-01")) %>%
mutate(date = as.Date("1887-01-01"),
image = paste0("../../icon/flag/round/", str_to_lower(gsub(" ", "-", Ref_area)), ".png")),
aes(x = date, y = OBS_VALUE/100, image = image), asp = 1.5) +
theme(legend.position = c(0.5, 0.97),
legend.title = element_blank(),
legend.direction = "horizontal") +
scale_y_continuous(breaks = 0.01*seq(0, 260, 20),
labels = scales::percent_format(accuracy = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 20), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Government Debt (% of GDP)")
GGXWDG_GDP |>
year_to_date2() |>
filter(REF_AREA %in% c("US", "GB")) |>
bind_rows(gfd_france) |>
bind_rows(gfd_japan) |>
bind_rows(gfd_italy) |>
left_join(REF_AREA, by = "REF_AREA") |>
mutate(OBS_VALUE = OBS_VALUE / 100) |>
left_join(colors, by = c("Ref_area" = "country")) |>
ggplot() + scale_color_identity() + add_flags + geom_line(aes(x = date, y = OBS_VALUE, color = color)) +
theme_minimal() +
scale_linetype_manual(values = c("solid", "solid","longdash","solid", "solid")) +
geom_image(data = . %>%
filter(date == as.Date("1887-01-01")) %>%
mutate(date = as.Date("1887-01-01"),
image = paste0("../../icon/flag/round/", str_to_lower(gsub(" ", "-", Ref_area)), ".png")),
aes(x = date, y = OBS_VALUE/100, image = image), asp = 1.5) +
theme(legend.position = c(0.5, 0.97),
legend.title = element_blank(),
legend.direction = "horizontal") +
scale_y_continuous(breaks = 0.01*seq(0, 260, 20),
labels = scales::percent_format(accuracy = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 20), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Government Debt (% of GDP)")
GGXWDG_GDP |>
year_to_date2() |>
filter(REF_AREA %in% c("US")) |>
ggplot() + geom_line(aes(x = date, y = OBS_VALUE / 100)) + theme_minimal() +
geom_rect(data = nber_recessions,
aes(xmin = Peak, xmax = Trough, ymin = -Inf, ymax = +Inf),
fill = 'grey', alpha = 0.5) +
scale_y_continuous(breaks = 0.01*seq(0, 260, 10),
labels = scales::percent_format(accuracy = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 20), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Government Debt (% of GDP)")
GGXWDG_GDP |>
year_to_date2() |>
filter(REF_AREA %in% c("GB")) |>
ggplot() + geom_line(aes(x = date, y = OBS_VALUE / 100)) + theme_minimal() +
scale_y_continuous(breaks = 0.01*seq(0, 260, 10),
labels = scales::percent_format(accuracy = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 20), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Government Debt (% of GDP)")
gfd_france |>
complete(date = seq.Date(min(date), max(date), by = "year")) |>
ggplot() + geom_line(aes(x = date, y = OBS_VALUE / 100)) + theme_minimal() +
scale_y_continuous(breaks = 0.01*seq(0, 260, 10),
labels = scales::percent_format(accuracy = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 20), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Government Debt (% of GDP)")
gfd_france |>
complete(date = seq.Date(min(date), max(date), by = "year")) |>
ggplot() + geom_line(aes(x = date, y = OBS_VALUE / 100)) + theme_minimal() +
scale_y_continuous(breaks = 0.01*seq(0, 260, 10)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 20), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Government Debt (years of GDP)")
GGXWDG_GDP |>
year_to_date2() |>
filter(REF_AREA %in% c("FR")) |>
complete(date = seq.Date(min(date), max(date), by = "year")) |>
ggplot() + geom_line(aes(x = date, y = OBS_VALUE / 100)) + theme_minimal() +
scale_y_continuous(breaks = 0.01*seq(0, 260, 10),
labels = scales::percent_format(accuracy = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 20), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Government Debt (% of GDP)")
GGXWDG_GDP |>
year_to_date2() |>
filter(REF_AREA %in% c("FR")) |>
complete(date = seq.Date(min(date), max(date), by = "year")) |>
ggplot() + geom_line(aes(x = date, y = OBS_VALUE / 100)) + theme_minimal() +
scale_y_continuous(breaks = 0.01*seq(0, 260, 10)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 20), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Government Debt (Years of GDP)")
GGXWDG_GDP |>
year_to_date2() |>
filter(REF_AREA %in% c("JP")) |>
complete(date = seq.Date(min(date), max(date), by = "year")) |>
ggplot() + geom_line(aes(x = date, y = OBS_VALUE / 100)) + theme_minimal() +
scale_y_continuous(breaks = 0.01*seq(0, 260, 10),
labels = scales::percent_format(accuracy = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 20), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Government Debt (% of GDP)")
GGXWDG_GDP |>
year_to_date2() |>
filter(REF_AREA %in% c("DE")) |>
complete(date = seq.Date(min(date), max(date), by = "year")) |>
ggplot() + geom_line(aes(x = date, y = OBS_VALUE / 100)) + theme_minimal() +
scale_y_continuous(breaks = 0.01*seq(0, 260, 10),
labels = scales::percent_format(accuracy = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 20), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Government Debt (% of GDP)")
GGXWDG_GDP |>
year_to_date2() |>
filter(REF_AREA %in% c("IT")) |>
complete(date = seq.Date(min(date), max(date), by = "year")) |>
ggplot() + geom_line(aes(x = date, y = OBS_VALUE / 100)) + theme_minimal() +
scale_y_continuous(breaks = 0.01*seq(0, 260, 10),
labels = scales::percent_format(accuracy = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 20), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Government Debt (% of GDP)")
GGXWDG_GDP |>
year_to_date2() |>
filter(REF_AREA %in% c("DK")) |>
complete(date = seq.Date(min(date), max(date), by = "year")) |>
ggplot() + geom_line(aes(x = date, y = OBS_VALUE / 100)) + theme_minimal() +
scale_y_continuous(breaks = 0.01*seq(0, 260, 10),
labels = scales::percent_format(accuracy = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 20), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Government Debt (% of GDP)")
GGXWDG_GDP |>
year_to_date2() |>
filter(REF_AREA %in% c("DK"),
date >= as.Date("1970-01-01"),
date <= as.Date("2000-01-01")) |>
complete(date = seq.Date(min(date), max(date), by = "year")) |>
ggplot() + geom_line(aes(x = date, y = OBS_VALUE / 100)) + theme_minimal() +
scale_y_continuous(breaks = 0.01*seq(0, 260, 10),
labels = scales::percent_format(accuracy = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 2), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Government Debt (% of GDP)")
GGXWDG_GDP |>
year_to_date2() |>
filter(REF_AREA %in% c("ES")) |>
complete(date = seq.Date(min(date), max(date), by = "year")) |>
ggplot() + geom_line(aes(x = date, y = OBS_VALUE / 100)) + theme_minimal() +
scale_y_continuous(breaks = 0.01*seq(0, 260, 10),
labels = scales::percent_format(accuracy = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 20), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Government Debt (% of GDP)")
GGXWDG_GDP |>
filter(REF_AREA %in% c("BE")) |>
year_to_date2() |>
complete(date = seq.Date(min(date), max(date), by = "year")) |>
ggplot() + geom_line(aes(x = date, y = OBS_VALUE / 100)) + theme_minimal() +
scale_y_continuous(breaks = 0.01*seq(0, 260, 10),
labels = scales::percent_format(accuracy = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 20), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Government Debt (% of GDP)")
GGXWDG_GDP |>
filter(REF_AREA %in% c("CA")) |>
year_to_date2() |>
complete(date = seq.Date(min(date), max(date), by = "year")) |>
ggplot() + geom_line(aes(x = date, y = OBS_VALUE / 100)) + theme_minimal() +
scale_y_continuous(breaks = 0.01*seq(0, 260, 10),
labels = scales::percent_format(accuracy = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 20), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Government Debt (% of GDP)")
GGXWDG_GDP |>
filter(REF_AREA %in% c("GR")) |>
year_to_date2() |>
complete(date = seq.Date(min(date), max(date), by = "year")) |>
ggplot() + geom_line(aes(x = date, y = OBS_VALUE / 100)) + theme_minimal() +
scale_y_continuous(breaks = 0.01*seq(0, 260, 10),
labels = scales::percent_format(accuracy = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 20), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Government Debt (% of GDP)")
GGXWDG_GDP |>
filter(REF_AREA %in% c("PT")) |>
year_to_date2() |>
complete(date = seq.Date(min(date), max(date), by = "year")) |>
ggplot() + geom_line(aes(x = date, y = OBS_VALUE / 100)) + theme_minimal() +
scale_y_continuous(breaks = 0.01*seq(0, 260, 10),
labels = scales::percent_format(accuracy = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 20), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Government Debt (% of GDP)")
GGXWDG_GDP |>
filter(REF_AREA %in% c("LB")) |>
year_to_date2() |>
complete(date = seq.Date(min(date), max(date), by = "year")) |>
ggplot() + geom_line(aes(x = date, y = OBS_VALUE / 100)) + theme_minimal() +
scale_y_continuous(breaks = 0.01*seq(0, 260, 10),
labels = scales::percent_format(accuracy = 1)) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 5), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Government Debt (% of GDP)")
GGXWDG_GDP |>
filter(TIME_PERIOD == "2015") |>
arrange(-OBS_VALUE) |>
left_join(REF_AREA, by = "REF_AREA") %>%
mutate(OBS_VALUE = round(OBS_VALUE) |> paste0(" %")) |>
select(REF_AREA, Ref_area, `Public Debt (2015)` = OBS_VALUE) |>
as.tibble() |>
mutate(Flag = gsub(" ", "-", str_to_lower(gsub(" ", "-", Ref_area))),
Flag = paste0('<img src="../../icon/flag/round/vsmall/', Flag, '.png" alt="Flag">')) |>
select(Flag, everything()) %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}(ref:high-debt-to-gdp) Countries with debt > 90% of GDP.
GGXWDG_GDP |>
filter(TIME_PERIOD == "2015",
OBS_VALUE > 90) |>
arrange(-OBS_VALUE) |>
left_join(REF_AREA, by = "REF_AREA") %>%
mutate(OBS_VALUE = round(OBS_VALUE) |> paste0(" %")) |>
select(REF_AREA, Ref_area, `Public Debt (2015)` = OBS_VALUE) |>
as.tibble() |>
mutate(Flag = gsub(" ", "-", str_to_lower(gsub(" ", "-", Ref_area))),
Flag = paste0('<img src="../../icon/flag/round/vsmall/', Flag, '.png" alt="Flag">')) |>
select(Flag, everything()) %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}GGXWDG_GDP |>
filter(TIME_PERIOD == "2015",
OBS_VALUE < 20) |>
arrange(-OBS_VALUE) |>
left_join(REF_AREA, by = "REF_AREA") %>%
mutate(OBS_VALUE = round(OBS_VALUE) |> paste0(" %")) |>
select(REF_AREA, Ref_area, `Public Debt (2015)` = OBS_VALUE) |>
as.tibble() |>
mutate(Flag = gsub(" ", "-", str_to_lower(gsub(" ", "-", Ref_area))),
Flag = paste0('<img src="../../icon/flag/round/vsmall/', Flag, '.png" alt="Flag">')) |>
select(Flag, everything()) %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .}GGXWDG_GDP |>
filter(TIME_PERIOD == "2015") |>
rename(iso2c = REF_AREA) |>
right_join(world, by = "iso2c") |>
ggplot() + theme_void() +
geom_polygon(aes(long, lat, group = group, fill = OBS_VALUE/100),
colour = alpha("black", 1/2), size = 0.1) +
scale_fill_viridis_c(name = "Debt to GDP (%)",
labels = scales::percent_format(accuracy = 1),
breaks = seq(0, 3, 0.4),
values = c(0, 0.2, 0.4, 0.6, 1)) +
theme(legend.position = c(0.1, 0.4),
legend.title = element_text(size = 10))
GGXWDG_GDP |>
filter(TIME_PERIOD == "2015") |>
rename(iso2c = REF_AREA) |>
right_join(europe, by = "iso2c") |>
ggplot() + theme_void() +
geom_polygon(aes(long, lat, group = group, fill = OBS_VALUE/100),
colour = alpha("black", 1/2), size = 0.1) +
scale_fill_viridis_c(name = "Debt to GDP (%)",
labels = scales::percent_format(accuracy = 1),
breaks = seq(0, 3, 0.4),
values = c(0, 0.2, 0.4, 0.6, 1)) +
theme(legend.position = c(0.1, 0.4),
legend.title = element_text(size = 10))
GGXWDG_GDP |>
filter(TIME_PERIOD == "2015") |>
rename(iso2c = REF_AREA) |>
right_join(eurozone_squeezed, by = "iso2c") |>
ggplot() + theme_void() +
geom_polygon(aes(long, lat, group = group, fill = OBS_VALUE/100),
colour = alpha("black", 1/2), size = 0.1) +
scale_fill_viridis_c(name = "Debt to GDP (%)",
labels = scales::percent_format(accuracy = 1),
breaks = seq(0, 3, 0.4),
values = c(0, 0.2, 0.4, 0.6, 1)) +
theme(legend.position = c(0.1, 0.9),
legend.title = element_text(size = 10))
GGXWDG_GDP |>
year_to_date2() |>
filter(REF_AREA %in% c("FR", "IT", "JP"),
date >= as.Date("1930-01-01"),
date <= as.Date("1960-01-01")) |>
left_join(REF_AREA, by = "REF_AREA") |>
group_by(Ref_area) |>
complete(date = seq.Date(min(date), max(date), by = "year")) |>
mutate(OBS_VALUE = OBS_VALUE / 100) |>
left_join(colors, by = c("Ref_area" = "country")) |>
ggplot() + scale_color_identity() + add_flags + theme_minimal() +
geom_line(aes(x = date, y = OBS_VALUE, color = color)) +
scale_y_continuous(breaks = 0.01*seq(0, 260, 10),
labels = scales::percent_format(accuracy = 1)) +
theme(legend.position = c(0.75, 0.75),
legend.title = element_blank()) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 5), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Government Debt (% of GDP)")
GGXWDG_GDP |>
year_to_date2() |>
filter(REF_AREA %in% c("DE", "US", "UK"),
date >= as.Date("1930-01-01"),
date <= as.Date("1960-01-01")) |>
left_join(REF_AREA, by = "REF_AREA") |>
group_by(Ref_area) |>
complete(date = seq.Date(min(date), max(date), by = "year")) |>
na.omit() |>
mutate(OBS_VALUE = OBS_VALUE / 100) |>
left_join(colors, by = c("Ref_area" = "country")) |>
ggplot() + scale_color_identity() + add_flags + theme_minimal() +
geom_line(aes(x = date, y = OBS_VALUE, color = color)) +
scale_y_continuous(breaks = 0.01*seq(0, 300, 10),
labels = scales::percent_format(accuracy = 1)) +
theme(legend.position = c(0.85, 0.85),
legend.title = element_blank()) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 5), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Government Debt (% of GDP)")
GGXWDG_GDP |>
year_to_date2() |>
filter(REF_AREA %in% c("ES", "CH"),
date >= as.Date("1930-01-01"),
date <= as.Date("1960-01-01")) |>
left_join(REF_AREA, by = "REF_AREA") |>
group_by(Ref_area) |>
complete(date = seq.Date(min(date), max(date), by = "year")) |>
mutate(OBS_VALUE = OBS_VALUE / 100) |>
left_join(colors, by = c("Ref_area" = "country")) |>
ggplot() + scale_color_identity() + add_flags + theme_minimal() +
geom_line(aes(x = date, y = OBS_VALUE, color = color)) +
scale_y_continuous(breaks = 0.01*seq(0, 300, 10),
labels = scales::percent_format(accuracy = 1)) +
theme(legend.position = c(0.85, 0.85),
legend.title = element_blank()) +
scale_x_date(breaks = as.Date(paste0(seq(1700, 2100, 5), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("Government Debt (% of GDP)")