source | dataset | .html | .RData |
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2024-09-18 | 2024-09-18 | ||
2024-09-15 | 2024-09-18 |
External balance on goods and services (% of GDP)
Data - WDI
Info
Data on main macro
source | dataset | .html | .RData |
---|---|---|---|
2024-09-15 | 2024-09-15 | ||
2024-09-15 | 2024-09-18 | ||
2024-09-15 | 2024-09-15 | ||
2024-09-15 | 2024-09-15 | ||
2024-09-15 | 2024-09-18 | ||
2024-09-15 | 2024-09-15 | ||
2024-09-04 | 2024-09-15 | ||
2024-09-15 | 2024-09-15 | ||
2024-08-21 | 2024-09-15 | ||
2024-09-15 | 2024-09-15 | ||
2024-09-02 | 2024-09-02 | ||
2024-08-29 | 2024-09-18 | ||
2024-06-06 | 2024-06-30 | ||
2024-09-15 | 2024-06-30 | ||
2024-09-15 | 2024-06-30 | ||
2024-07-01 | 2024-04-11 | ||
2024-07-01 | 2024-06-30 | ||
2024-09-15 | 2024-09-18 | ||
2024-09-15 | 2024-09-18 | ||
2024-09-15 | 2024-09-18 | ||
2024-09-15 | 2024-09-18 | ||
2024-09-15 | 2024-09-18 | ||
2024-09-15 | 2024-09-18 | ||
2024-09-15 | 2024-09-18 |
LAST_COMPILE
LAST_COMPILE |
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2024-09-18 |
Last
Code
%>%
NE.RSB.GNFS.ZS group_by(year) %>%
summarise(Nobs = n()) %>%
arrange(desc(year)) %>%
head(1) %>%
print_table_conditional()
year | Nobs |
---|---|
2023 | 178 |
Nobs - Javascript
Code
%>%
NE.RSB.GNFS.ZS left_join(iso2c, by = "iso2c") %>%
group_by(iso2c, Iso2c) %>%
mutate(value = round(value, 2)) %>%
summarise(Nobs = n(),
`Year 1` = first(year),
`NX 1 (%)` = first(value),
`Year 2` = last(year),
`NX 2 (%)` = last(value)) %>%
arrange(-Nobs) %>%
mutate(Flag = gsub(" ", "-", str_to_lower(Iso2c)),
Flag = paste0('<img src="../../bib/flags/vsmall/', Flag, '.png" alt="Flag">')) %>%
select(Flag, everything()) %>%
if (is_html_output()) datatable(., filter = 'top', rownames = F, escape = F) else .} {
Crises in Emerging Markets (Source: Vegh (2013))
1982: Southern Cone - Argentina, Chile, Uruguay
Code
%>%
NE.RSB.GNFS.ZS %>%
year_to_date filter(iso2c %in% c("AR", "CL", "UY"),
>= as.Date("1976-01-01"),
date <= as.Date("1987-01-01")) %>%
date left_join(iso2c, by = "iso2c") %>%
left_join(colors, by = c("Iso2c" = "country")) %>%
mutate(value = value/100) %>%
ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
theme_minimal() + scale_color_identity() + add_3flags +
scale_x_date(breaks = seq(1950, 2024, 2) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("Net Exports (% of GDP)") +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
1994: Mexico
Code
%>%
WDI left_join(iso3c, by = "iso3c") %>%
filter(iso2c %in% c("MX"),
%in% c("NE.RSB.GNFS.ZS", "BN.CAB.XOKA.GD.ZS"),
INDICATOR <= as.Date("1999-01-01"),
date >= as.Date("1989-01-01")) %>%
date left_join(INDICATOR, by = "INDICATOR") %>%
ggplot(.) + xlab("") + ylab("Net Exports (% of GDP)") +
geom_line(aes(x = date, y = value/100, color = Indicator, linetype = Indicator)) +
theme_minimal() + scale_color_manual(values = viridis(3)[1:2]) +
theme(legend.title = element_blank(),
legend.position = c(0.3, 0.9)) +
scale_x_date(breaks = seq(1950, 2020, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
labels = scales::percent_format(accuracy = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
1997: Russia
Code
%>%
WDI left_join(iso3c, by = "iso3c") %>%
filter(iso2c %in% c("RU"),
%in% c("NE.RSB.GNFS.ZS", "BN.CAB.XOKA.GD.ZS"),
INDICATOR <= as.Date("2002-01-01"),
date >= as.Date("1980-01-01")) %>%
date left_join(INDICATOR, by = "INDICATOR") %>%
ggplot(.) + xlab("") + ylab("Net Exports (% of GDP)") +
geom_line(aes(x = date, y = value/100, color = Indicator, linetype = Indicator)) +
theme_minimal() + scale_color_manual(values = viridis(3)[1:2]) +
theme(legend.title = element_blank(),
legend.position = c(0.3, 0.9)) +
scale_x_date(breaks = seq(1950, 2020, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
labels = scales::percent_format(accuracy = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
1997: East Asia - Indonesia, Korea, Malaysia, Thailand
Code
%>%
NE.RSB.GNFS.ZS %>%
year_to_date filter(iso2c %in% c("ID", "KR", "MY", "TH"),
<= as.Date("2002-01-01"),
date >= as.Date("1992-01-01")) %>%
date left_join(iso2c, by = "iso2c") %>%
left_join(colors, by = c("Iso2c" = "country")) %>%
mutate(value = value/100) %>%
ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
theme_minimal() + scale_color_identity() + add_4flags +
scale_x_date(breaks = seq(1950, 2020, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("Net Exports (% of GDP)") +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
2001: Turkey
Code
%>%
WDI left_join(iso3c, by = "iso3c") %>%
filter(iso2c %in% c("TR"),
%in% c("NE.RSB.GNFS.ZS", "BN.CAB.XOKA.GD.ZS"),
INDICATOR <= as.Date("2006-01-01"),
date >= as.Date("1996-01-01")) %>%
date left_join(INDICATOR, by = "INDICATOR") %>%
ggplot(.) + xlab("") + ylab("Net Exports (% of GDP)") +
geom_line(aes(x = date, y = value/100, color = Indicator, linetype = Indicator)) +
theme_minimal() + scale_color_manual(values = viridis(3)[1:2]) +
theme(legend.title = element_blank(),
legend.position = c(0.3, 0.9)) +
scale_x_date(breaks = seq(1950, 2020, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
labels = scales::percent_format(accuracy = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
Israel
All
Code
%>%
WDI left_join(iso3c, by = "iso3c") %>%
filter(iso2c %in% c("IL"),
%in% c("NE.RSB.GNFS.ZS", "BN.CAB.XOKA.GD.ZS")) %>%
INDICATOR left_join(INDICATOR, by = "INDICATOR") %>%
ggplot(.) + xlab("") + ylab("Net Exports (% of GDP)") +
geom_line(aes(x = date, y = value/100, color = Indicator, linetype = Indicator)) +
theme_minimal() + scale_color_manual(values = viridis(3)[1:2]) +
theme(legend.title = element_blank(),
legend.position = c(0.7, 0.2)) +
scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
labels = scales::percent_format(accuracy = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
1990
Code
%>%
WDI left_join(iso3c, by = "iso3c") %>%
filter(iso2c %in% c("IL"),
%in% c("NE.RSB.GNFS.ZS", "BN.CAB.XOKA.GD.ZS"),
INDICATOR >= as.Date("1990-01-01")) %>%
date left_join(INDICATOR, by = "INDICATOR") %>%
ggplot(.) + xlab("") + ylab("Net Exports (% of GDP)") +
geom_line(aes(x = date, y = value/100, color = Indicator, linetype = Indicator)) +
theme_minimal() + scale_color_manual(values = viridis(3)[1:2]) +
theme(legend.title = element_blank(),
legend.position = c(0.7, 0.2)) +
scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
labels = scales::percent_format(accuracy = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
2000
Code
%>%
WDI left_join(iso3c, by = "iso3c") %>%
filter(iso2c %in% c("IL"),
%in% c("NE.RSB.GNFS.ZS", "BN.CAB.XOKA.GD.ZS"),
INDICATOR >= as.Date("2000-01-01")) %>%
date left_join(INDICATOR, by = "INDICATOR") %>%
ggplot(.) + xlab("") + ylab("Net Exports (% of GDP)") +
geom_line(aes(x = date, y = value/100, color = Indicator, linetype = Indicator)) +
theme_minimal() + scale_color_manual(values = viridis(3)[1:2]) +
theme(legend.title = element_blank(),
legend.position = c(0.7, 0.2)) +
scale_x_date(breaks = seq(1950, 2025, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
labels = scales::percent_format(accuracy = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
1989-1999
Code
%>%
WDI left_join(iso3c, by = "iso3c") %>%
filter(iso2c %in% c("IL"),
%in% c("NE.RSB.GNFS.ZS", "BN.CAB.XOKA.GD.ZS"),
INDICATOR <= as.Date("1999-01-01"),
date >= as.Date("1989-01-01")) %>%
date left_join(INDICATOR, by = "INDICATOR") %>%
ggplot(.) + xlab("") + ylab("Net Exports (% of GDP)") +
geom_line(aes(x = date, y = value/100, color = Indicator, linetype = Indicator)) +
theme_minimal() + scale_color_manual(values = viridis(3)[1:2]) +
theme(legend.title = element_blank(),
legend.position = c(0.3, 0.9)) +
scale_x_date(breaks = seq(1950, 2020, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
labels = scales::percent_format(accuracy = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
Vietnam
Code
%>%
WDI left_join(iso3c, by = "iso3c") %>%
filter(iso2c %in% c("VN"),
%in% c("NE.RSB.GNFS.ZS", "BN.CAB.XOKA.GD.ZS")) %>%
INDICATOR left_join(INDICATOR, by = "INDICATOR") %>%
ggplot(.) + xlab("") + ylab("Net Exports (% of GDP)") +
geom_line(aes(x = date, y = value/100, color = Indicator, linetype = Indicator)) +
theme_minimal() + scale_color_manual(values = viridis(3)[1:2]) +
theme(legend.title = element_blank(),
legend.position = c(0.3, 0.95)) +
scale_x_date(breaks = seq(1950, 2025, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
labels = scales::percent_format(accuracy = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
Afghanistan
All
Code
%>%
WDI left_join(iso3c, by = "iso3c") %>%
filter(iso2c %in% c("AF"),
%in% c("NE.RSB.GNFS.ZS", "BN.CAB.XOKA.GD.ZS")) %>%
INDICATOR left_join(INDICATOR, by = "INDICATOR") %>%
ggplot(.) + xlab("") + ylab("Net Exports (% of GDP)") +
geom_line(aes(x = date, y = value/100, color = Indicator, linetype = Indicator)) +
theme_minimal() + scale_color_manual(values = viridis(3)[1:2]) +
theme(legend.title = element_blank(),
legend.position = c(0.3, 0.95)) +
scale_x_date(breaks = seq(1950, 2025, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
labels = scales::percent_format(accuracy = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
2008-
Code
%>%
WDI left_join(iso3c, by = "iso3c") %>%
filter(iso2c %in% c("AF"),
%in% c("NE.RSB.GNFS.ZS", "BN.CAB.XOKA.GD.ZS")) %>%
INDICATOR filter(date >= as.Date("2008-01-01")) %>%
left_join(INDICATOR, by = "INDICATOR") %>%
ggplot(.) + xlab("") + ylab("External Balance, Current Account (% of GDP)") +
geom_line(aes(x = date, y = value/100, color = Indicator, linetype = Indicator)) +
theme_minimal() + scale_color_manual(values = viridis(3)[1:2]) +
theme(legend.title = element_blank(),
legend.position = c(0.7, 0.8)) +
scale_x_date(breaks = seq(1950, 2020, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 5),
labels = scales::percent_format(accuracy = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
China
Code
%>%
WDI left_join(iso3c, by = "iso3c") %>%
filter(iso2c %in% c("VN"),
%in% c("NE.RSB.GNFS.ZS", "BN.CAB.XOKA.GD.ZS")) %>%
INDICATOR left_join(INDICATOR, by = "INDICATOR") %>%
ggplot(.) + xlab("") + ylab("Net Exports (% of GDP)") +
geom_line(aes(x = date, y = value/100, color = Indicator, linetype = Indicator)) +
theme_minimal() + scale_color_manual(values = viridis(3)[1:2]) +
theme(legend.title = element_blank(),
legend.position = c(0.3, 0.95)) +
scale_x_date(breaks = seq(1950, 2025, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
labels = scales::percent_format(accuracy = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
Sweden
Code
%>%
WDI left_join(iso3c, by = "iso3c") %>%
filter(iso2c %in% c("SE"),
%in% c("NE.RSB.GNFS.ZS", "BN.CAB.XOKA.GD.ZS")) %>%
INDICATOR left_join(INDICATOR, by = "INDICATOR") %>%
ggplot(.) + xlab("") + ylab("Net Exports (% of GDP)") +
geom_line(aes(x = date, y = value/100, color = Indicator, linetype = Indicator)) +
theme_minimal() + scale_color_manual(values = viridis(3)[1:2]) +
theme(legend.title = element_blank(),
legend.position = c(0.3, 0.95)) +
scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
labels = scales::percent_format(accuracy = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
Germany
Code
%>%
WDI left_join(iso3c, by = "iso3c") %>%
filter(iso2c %in% c("DE"),
%in% c("NE.RSB.GNFS.ZS", "BN.CAB.XOKA.GD.ZS")) %>%
INDICATOR left_join(INDICATOR, by = "INDICATOR") %>%
ggplot(.) + xlab("") + ylab("Net Exports (% of GDP)") +
geom_line(aes(x = date, y = value/100, color = Indicator, linetype = Indicator)) +
theme_minimal() + scale_color_manual(values = viridis(3)[1:2]) +
theme(legend.title = element_blank(),
legend.position = c(0.3, 0.95)) +
scale_x_date(breaks = seq(1950, 2025, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
labels = scales::percent_format(accuracy = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
France, New Zealand, Switzerland
Code
%>%
NE.RSB.GNFS.ZS filter(iso2c %in% c("NZ", "FR", "CH")) %>%
left_join(iso2c, by = "iso2c") %>%
%>%
year_to_date filter(date >= as.Date("1990-01-01")) %>%
left_join(colors, by = c("Iso2c" = "country")) %>%
mutate(value = value/100) %>%
ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
theme_minimal() + scale_color_identity() + add_3flags +
scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("Net Exports (% of GDP)") +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
France, Germany, Italy
Viridis
Code
%>%
NE.RSB.GNFS.ZS filter(iso2c %in% c("IT", "FR", "DE")) %>%
left_join(iso2c, by = "iso2c") %>%
%>%
year_to_date left_join(colors, by = c("Iso2c" = "country")) %>%
mutate(value = value/100) %>%
ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
theme_minimal() + scale_color_identity() + add_3flags +
scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("Net Exports (% of GDP)") +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
Flags
Code
%>%
NE.RSB.GNFS.ZS filter(iso2c %in% c("IT", "FR", "DE")) %>%
left_join(iso2c, by = "iso2c") %>%
%>%
year_to_date left_join(colors, by = c("Iso2c" = "country")) %>%
mutate(value = value/100) %>%
ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
theme_minimal() + scale_color_identity() + add_3flags +
scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
labels = scales::percent_format(accuracy = 1)) +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
Germany, France, Switzerland
Code
%>%
NE.RSB.GNFS.ZS left_join(iso2c, by = "iso2c") %>%
%>%
year_to_date filter(iso2c %in% c("CH", "FR", "DE"),
>= as.Date("1970-01-01")) %>%
date left_join(colors, by = c("Iso2c" = "country")) %>%
mutate(value = value/100) %>%
ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
theme_minimal() + scale_color_identity() + add_3flags +
scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
labels = scales::percent_format(accuracy = 1),
limits = c(-0.05, 0.14)) +
xlab("") + ylab("Exportations Nettes (% du PIB)") +
geom_hline(yintercept = 0, linetype = "dashed", color = "grey")
Poland, Hungary, Czech Republic
Code
%>%
NE.RSB.GNFS.ZS left_join(iso2c, by = "iso2c") %>%
%>%
year_to_date filter(iso2c %in% c("PL", "HU", "CZ"),
>= as.Date("1970-01-01")) %>%
date left_join(colors, by = c("Iso2c" = "country")) %>%
mutate(value = value/100) %>%
ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
theme_minimal() + scale_color_identity() + add_3flags +
scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("Exportations Nettes (% du PIB)") +
geom_hline(yintercept = 0, linetype = "dashed", color = "grey")
France, Spain, Portugal
Code
%>%
NE.RSB.GNFS.ZS left_join(iso2c, by = "iso2c") %>%
%>%
year_to_date filter(iso2c %in% c("ES", "FR", "DE", "PT"),
>= as.Date("1970-01-01")) %>%
date left_join(colors, by = c("Iso2c" = "country")) %>%
mutate(value = value/100) %>%
ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
theme_minimal() + scale_color_identity() + add_4flags +
scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("Exportations Nettes (% du PIB)") +
geom_hline(yintercept = 0, linetype = "dashed", color = "grey")
Germany, France, China
Code
%>%
NE.RSB.GNFS.ZS left_join(iso2c, by = "iso2c") %>%
%>%
year_to_date filter(iso2c %in% c("CN", "FR", "DE"),
>= as.Date("1970-01-01")) %>%
date left_join(colors, by = c("Iso2c" = "country")) %>%
mutate(value = value/100) %>%
ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
theme_minimal() + scale_color_identity() + add_3flags +
scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
labels = scales::percent_format(accuracy = 1),
limits = c(-0.05, 0.09)) +
xlab("") + ylab("External balance on goods and services (% of GDP)") +
geom_hline(yintercept = 0, linetype = "dashed", color = "grey")
Germany, France, China, United States
Code
%>%
NE.RSB.GNFS.ZS left_join(iso2c, by = "iso2c") %>%
%>%
year_to_date filter(iso2c %in% c("CN", "FR", "DE", "US"),
>= as.Date("1970-01-01")) %>%
date left_join(colors, by = c("Iso2c" = "country")) %>%
mutate(value = value/100) %>%
ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
theme_minimal() + scale_color_identity() + add_4flags +
scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 1),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("External balance on goods and services (% of GDP)") +
geom_hline(yintercept = 0, linetype = "dashed", color = "grey")
Saudi Arabia, Jordan, Kuwait
Code
%>%
NE.RSB.GNFS.ZS filter(iso2c %in% c("SA", "JO", "KW")) %>%
left_join(iso2c, by = "iso2c") %>%
%>%
year_to_date left_join(colors, by = c("Iso2c" = "country")) %>%
mutate(value = value/100) %>%
ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
theme_minimal() + scale_color_identity() + add_3flags +
scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-200, 200, 10),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("Net Exports (% of GDP)") +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
Lebanon, Barbados, Italy
Code
%>%
NE.RSB.GNFS.ZS filter(iso2c %in% c("LB", "BB", "IT"),
>= 2000) %>%
year left_join(iso2c, by = "iso2c") %>%
%>%
year_to_date left_join(colors, by = c("Iso2c" = "country")) %>%
mutate(value = value/100) %>%
ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
theme_minimal() + scale_color_identity() + add_3flags +
scale_x_date(breaks = seq(1950, 2020, 1) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 5),
labels = scales::percent_format(accuracy = 1),
limits = c(-0.35, 0.05)) +
xlab("") + ylab("External balance on goods and services (% of GDP)") +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
Canada, Israel, The Netherlands
Code
%>%
NE.RSB.GNFS.ZS filter(iso2c %in% c("CA", "IL", "NL")) %>%
left_join(iso2c, by = "iso2c") %>%
%>%
year_to_date left_join(colors, by = c("Iso2c" = "country")) %>%
mutate(value = value/100) %>%
ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
theme_minimal() + scale_color_identity() + add_3flags +
scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("Net Exports (% of GDP)") +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
Argentina, Chile, Uruguay
Code
%>%
NE.RSB.GNFS.ZS filter(iso2c %in% c("AR", "CL", "UY")) %>%
left_join(iso2c, by = "iso2c") %>%
%>%
year_to_date left_join(colors, by = c("Iso2c" = "country")) %>%
mutate(value = value/100) %>%
ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
theme_minimal() + scale_color_identity() + add_3flags +
scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("Net Exports (% of GDP)") +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
China, Germany, United States
Viridis
Code
%>%
NE.RSB.GNFS.ZS filter(iso2c %in% c("CN", "US", "DE")) %>%
left_join(iso2c, by = "iso2c") %>%
%>%
year_to_date left_join(colors, by = c("Iso2c" = "country")) %>%
mutate(value = value/100) %>%
ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
theme_minimal() + scale_color_identity() + add_3flags +
scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("Net Exports (% of GDP)") +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")
Flags
Code
%>%
NE.RSB.GNFS.ZS filter(iso2c %in% c("CN", "US", "DE")) %>%
left_join(iso2c, by = "iso2c") %>%
%>%
year_to_date left_join(colors, by = c("Iso2c" = "country")) %>%
mutate(value = value/100) %>%
ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
theme_minimal() + scale_color_identity() + add_3flags +
scale_x_date(breaks = seq(1950, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-60, 60, 2),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("Net Exports (% of GDP)") +
geom_hline(yintercept = 0, linetype = "dashed", color = "black")