Trade
Data - Census
Info
LAST_COMPILE
LAST_COMPILE |
---|
2025-07-28 |
geo
Code
%>%
trade group_by(CTY_CODE, CTYNAME) %>%
summarise(Nobs = n()) %>%
mutate(Flag = gsub(" ", "-", str_to_lower(gsub(" ", "-", CTYNAME))),
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 .} {
year
Code
%>%
trade filter(year == "2024") %>%
transmute(Geo = CTYNAME,
IYR, EYR,values = (IYR - EYR)/IYR) %>%
arrange(-IYR) %>%
print_table_conditional()
2024
World, Seasonally Adjusted
2020-
All
Code
%>%
trade filter(CTYNAME %in% c("World, Seasonally Adjusted")) %>%
transmute(Geo = CTYNAME,
date = as.Date(paste0(year, "-01-01")),
values = (IYR - EYR)/IYR) %>%
left_join(colors, by = c("Geo" = "country")) %>%
+ geom_line(aes(x = date, y = values)) +
ggplot scale_x_date(breaks = seq.Date(as.Date("1970-01-01"), as.Date("2024-01-01"), "1 year"),
labels = date_format("%Y")) +
theme_minimal() + xlab("") + ylab("Tariff rate (%)") +
scale_y_continuous(breaks = 0.01*seq(0, 100, 5),
labels = percent_format(a = 1)) +
theme(legend.position = c(0.25, 0.90),
legend.title = element_blank(),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1))
Ireland
2020-
All
Code
%>%
trade filter(CTYNAME %in% c("Ireland")) %>%
transmute(Geo = CTYNAME,
date = as.Date(paste0(year, "-01-01")),
values = (IYR - EYR)/IYR) %>%
left_join(colors, by = c("Geo" = "country")) %>%
+ geom_line(aes(x = date, y = values)) +
ggplot scale_x_date(breaks = seq.Date(as.Date("1970-01-01"), as.Date("2024-01-01"), "1 year"),
labels = date_format("%Y")) +
theme_minimal() + xlab("") + ylab("Tariff rate (%)") +
scale_y_continuous(breaks = 0.01*seq(-100, 100, 5),
labels = percent_format(a = 1)) +
theme(legend.position = c(0.25, 0.90),
legend.title = element_blank(),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1))
Europe, Germany, France, United Kingdom
2020-
All
Code
%>%
trade filter(CTYNAME %in% c("European Union", "France", "Germany", "United Kingdom")) %>%
transmute(Geo = CTYNAME,
date = as.Date(paste0(year, "-01-01")),
values = (IYR - EYR)/IYR) %>%
left_join(colors, by = c("Geo" = "country")) %>%
filter(date <= as.Date("2024-01-01"),
>= as.Date("1997-01-01")) %>%
date + geom_line(aes(x = date, y = values, color = color)) +
ggplot scale_color_identity() + add_4flags +
scale_x_date(breaks = seq.Date(as.Date("1970-01-01"), as.Date("2024-01-01"), "1 year"),
labels = date_format("%Y")) +
theme_minimal() + xlab("") + ylab("Tariff rate (%)") +
scale_y_continuous(breaks = 0.01*seq(-100, 100, 5),
labels = percent_format(a = 1)) +
theme(legend.position = c(0.25, 0.90),
legend.title = element_blank(),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1)) +
geom_label(data = . %>% filter(date == max(date)),
aes(x = date, y = values, color = color, label = percent(values)))
2020-
All
Code
%>%
trade filter(CTYNAME %in% c("European Union", "France", "Germany", "United Kingdom", "Japan")) %>%
transmute(Geo = CTYNAME,
date = as.Date(paste0(year, "-01-01")),
values = (IYR - EYR)/IYR) %>%
left_join(colors, by = c("Geo" = "country")) %>%
filter(date <= as.Date("2024-01-01"),
>= as.Date("1997-01-01")) %>%
date + geom_line(aes(x = date, y = values, color = color)) +
ggplot scale_color_identity() + add_5flags +
scale_x_date(breaks = seq.Date(as.Date("1970-01-01"), as.Date("2024-01-01"), "1 year"),
labels = date_format("%Y")) +
theme_minimal() + xlab("") + ylab("Tariff rate (%)") +
scale_y_continuous(breaks = 0.01*seq(-100, 100, 5),
labels = percent_format(a = 1)) +
theme(legend.position = c(0.25, 0.90),
legend.title = element_blank(),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1)) +
geom_label(data = . %>% filter(date == max(date)),
aes(x = date, y = values, color = color, label = percent(values)))
Europe, Germany, France
2020-
All
Code
%>%
trade filter(CTYNAME %in% c("European Union", "France", "Germany")) %>%
transmute(Geo = CTYNAME,
date = as.Date(paste0(year, "-01-01")),
values = (IYR - EYR)/IYR) %>%
left_join(colors, by = c("Geo" = "country")) %>%
filter(date <= as.Date("2024-01-01"),
>= as.Date("1997-01-01")) %>%
date + geom_line(aes(x = date, y = values, color = color)) +
ggplot scale_color_identity() + add_3flags +
scale_x_date(breaks = seq.Date(as.Date("1970-01-01"), as.Date("2024-01-01"), "1 year"),
labels = date_format("%Y")) +
theme_minimal() + xlab("") + ylab("Tariff rate (%)") +
scale_y_continuous(breaks = 0.01*seq(0, 100, 5),
labels = percent_format(a = 1)) +
theme(legend.position = c(0.25, 0.90),
legend.title = element_blank(),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1)) +
geom_label(data = . %>% filter(date == max(date)),
aes(x = date, y = values, color = color, label = percent(values)))
Divisé par 2
Code
%>%
trade filter(CTYNAME %in% c("European Union", "France", "Germany")) %>%
transmute(Geo = CTYNAME,
date = as.Date(paste0(year, "-01-01")),
values = (IYR - EYR)/IYR/2) %>%
left_join(colors, by = c("Geo" = "country")) %>%
filter(date <= as.Date("2024-01-01"),
>= as.Date("1997-01-01")) %>%
date + geom_line(aes(x = date, y = values, color = color)) +
ggplot scale_color_identity() + add_3flags +
scale_x_date(breaks = seq.Date(as.Date("1970-01-01"), Sys.Date(), "1 year"),
labels = date_format("%Y")) +
theme_minimal() + xlab("") + ylab("Tariff rate (%)") +
scale_y_continuous(breaks = 0.01*seq(0, 100, 2),
labels = percent_format(a = 1)) +
theme(legend.position = c(0.25, 0.90),
legend.title = element_blank(),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1)) +
geom_label(data = . %>% filter(date == max(date)),
aes(x = date, y = values, color = color, label = percent(values)))
Divisé par 2
Code
%>%
trade filter(CTYNAME %in% c("European Union", "France", "Germany", "Ireland", "Italy", "Austria")) %>%
transmute(Geo = CTYNAME,
date = as.Date(paste0(year, "-01-01")),
values = (IYR - EYR)/IYR/2) %>%
left_join(colors, by = c("Geo" = "country")) %>%
filter(date <= as.Date("2024-01-01"),
>= as.Date("1997-01-01")) %>%
date + geom_line(aes(x = date, y = values, color = color, group = Geo)) +
ggplot scale_color_identity() + add_6flags +
scale_x_date(breaks = seq.Date(as.Date("1970-01-01"), Sys.Date(), "1 year"),
labels = date_format("%Y")) +
theme_minimal() + xlab("") + ylab("Tariff rate (%)") +
scale_y_continuous(breaks = 0.01*seq(0, 100, 2),
labels = percent_format(a = 1)) +
theme(legend.position = c(0.25, 0.90),
legend.title = element_blank(),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1)) +
geom_label(data = . %>% filter(date == max(date)),
aes(x = date, y = values, color = color, label = percent(values)))
European Union, France, Germany, Italy, Ireland, China
2020-
Divisé par 2
Code
%>%
trade filter(CTYNAME %in% c("European Union", "France", "Germany", "Italy", "Ireland", "China")) %>%
transmute(Geo = CTYNAME,
date = as.Date(paste0(year, "-01-01")),
values = (IYR - EYR)/IYR/2) %>%
left_join(colors, by = c("Geo" = "country")) %>%
filter(date <= as.Date("2024-01-01"),
>= as.Date("1997-01-01")) %>%
date + geom_line(aes(x = date, y = values, color = color, group = Geo)) +
ggplot scale_color_identity() + add_6flags +
scale_x_date(breaks = seq.Date(as.Date("1970-01-01"), Sys.Date(), "1 year"),
labels = date_format("%Y")) +
theme_minimal() + xlab("") + ylab("Tariff rate (%)") +
scale_y_continuous(breaks = 0.01*seq(0, 100, 2),
labels = percent_format(a = 1)) +
theme(legend.position = c(0.25, 0.90),
legend.title = element_blank(),
axis.text.x = element_text(angle = 45, vjust = 1, hjust = 1)) +
geom_label(data = . %>% filter(date == max(date)),
aes(x = date, y = values, color = color, label = percent(values)))