Code
tibble(DOWNLOAD_TIME = as.Date(file.info("~/Library/Mobile\ Documents/com~apple~CloudDocs/website/data/eurostat/bop_exms6_q.RData")$mtime)) %>%
print_table_conditional()
DOWNLOAD_TIME |
---|
2024-11-21 |
Data - Eurostat
tibble(DOWNLOAD_TIME = as.Date(file.info("~/Library/Mobile\ Documents/com~apple~CloudDocs/website/data/eurostat/bop_exms6_q.RData")$mtime)) %>%
print_table_conditional()
DOWNLOAD_TIME |
---|
2024-11-21 |
%>%
bop_exms6_q group_by(time) %>%
summarise(Nobs = n()) %>%
arrange(desc(time)) %>%
head(1) %>%
print_table_conditional()
time | Nobs |
---|---|
2023 | 936 |
%>%
bop_exms6_q left_join(unit, by = "unit") %>%
group_by(unit, Unit) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional
unit | Unit | Nobs |
---|---|---|
PC_WRL | Percentage of world total | 2810 |
PCH_WRL_1Y | Percentage of world total - 1-year change | 2687 |
PC_OECD | Percentage of OECD total | 2594 |
PCH_WRL_3Y | NA | 2358 |
PCH_WRL_5Y | Percentage of world total - 5-year change | 2195 |
PC_OECD_EU | Percentage of the total of OECD countries and EU Member States not in OECD | 2181 |
PCH_OECD_5Y | Percentage of OECD total - 5-year change | 1976 |
PCH_OECD_EU_1Y | NA | 1881 |
PCH_OECD_EU_3Y | NA | 1737 |
PCH_OECD_EU_5Y | Percentage of the total of OECD countries and EU Member States not in OECD - 5-year change | 1581 |
%>%
bop_exms6_q left_join(bop_item, by = "bop_item") %>%
group_by(bop_item, Bop_item) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional
bop_item | Bop_item | Nobs |
---|---|---|
GS | Goods and services | 7424 |
G | Goods | 7288 |
S | Services | 7288 |
%>%
bop_exms6_q left_join(partner, by = "partner") %>%
group_by(partner, Partner) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional
partner | Partner | Nobs |
---|---|---|
WRL_REST | Rest of the world | 20899 |
EXT_EU27_2020 | Extra-EU27 (from 2020) | 609 |
EXT_EU28 | Extra-EU28 (2013-2020) | 282 |
EXT_EA20 | Extra-euro area - 20 countries (from 2023) | 210 |
%>%
bop_exms6_q left_join(geo, by = "geo") %>%
group_by(geo, Geo) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
mutate(Flag = gsub(" ", "-", str_to_lower(Geo)),
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 .} {
%>%
bop_exms6_q group_by(time) %>%
summarise(Nobs = n()) %>%
arrange(desc(time)) %>%
print_table_conditional()
%>%
bop_exms6_q filter(geo %in% c("FR", "DE", "IT", "ES", "NL"),
== "PC_WRL",
unit == "GS") %>%
bop_item left_join(geo, by = "geo") %>%
%>%
year_to_date mutate(values = values / 100) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(color = ifelse(geo == "NL", color2, color)) %>%
+ geom_line(aes(x = date, y = values, color = color)) +
ggplot scale_color_identity() + theme_minimal() + xlab("") +
ylab("Goods and Services, Market Share (% of World Total)") + add_5flags +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2020, 5), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.75, 0.8),
legend.title = element_blank()) +
scale_y_continuous(breaks = 0.01*seq(-30, 30, 1),
labels = percent_format(a = 1))
%>%
bop_exms6_q filter(geo %in% c("FR", "DE", "IT", "ES", "EU27_2020"),
== "PC_WRL",
unit == "G") %>%
bop_item left_join(geo, by = "geo") %>%
%>%
year_to_date filter(date >= as.Date("1995-01-01")) %>%
mutate(values = values / 100) %>%
mutate(Geo = ifelse(geo == "EU27_2020", "Europe", Geo)) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(color = ifelse(geo == "NL", color2, color)) %>%
+ geom_line(aes(x = date, y = values, color = color)) +
ggplot scale_color_identity() + theme_minimal() + xlab("") +
ylab("Biens, Parts de Marché (% du Monde)") + add_5flags +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2020, 5), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.75, 0.8),
legend.title = element_blank()) +
scale_y_continuous(breaks = 0.01*seq(-30, 30, 1),
labels = percent_format(a = 1))
%>%
bop_exms6_q filter(geo %in% c("FR", "DE", "IT", "ES", "NL"),
== "PC_WRL",
unit == "S") %>%
bop_item left_join(geo, by = "geo") %>%
%>%
year_to_date mutate(values = values / 100) %>%
left_join(colors, by = c("Geo" = "country")) %>%
mutate(color = ifelse(geo == "NL", color2, color)) %>%
+ geom_line(aes(x = date, y = values, color = color)) +
ggplot scale_color_identity() + theme_minimal() + xlab("") +
ylab("Goods, Market Share (% of World Total)") + add_5flags +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2020, 5), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.75, 0.8),
legend.title = element_blank()) +
scale_y_continuous(breaks = 0.01*seq(-30, 30, 1),
labels = percent_format(a = 1))
%>%
bop_exms6_q filter(geo == "FR",
== "PC_WRL") %>%
unit left_join(bop_item, by = "bop_item") %>%
%>%
year_to_date mutate(values = values / 100) %>%
+ geom_line(aes(x = date, y = values, color = Bop_item)) +
ggplot scale_color_manual(values = viridis(4)[1:3]) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2020, 5), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.75, 0.8),
legend.title = element_blank()) +
scale_y_continuous(breaks = 0.01*seq(-30, 30, 1),
labels = percent_format(a = 1))
%>%
bop_exms6_q filter(geo == "DE",
== "PC_WRL") %>%
unit left_join(bop_item, by = "bop_item") %>%
%>%
year_to_date mutate(values = values / 100) %>%
+ geom_line(aes(x = date, y = values, color = Bop_item)) +
ggplot scale_color_manual(values = viridis(4)[1:3]) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2020, 5), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.75, 0.8),
legend.title = element_blank()) +
scale_y_continuous(breaks = 0.01*seq(-30, 30, 1),
labels = percent_format(a = 1))
%>%
bop_exms6_q filter(geo == "IT",
== "PC_WRL") %>%
unit left_join(bop_item, by = "bop_item") %>%
%>%
year_to_date mutate(values = values / 100) %>%
+ geom_line(aes(x = date, y = values, color = Bop_item)) +
ggplot scale_color_manual(values = viridis(4)[1:3]) +
theme_minimal() + xlab("") + ylab("") +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2020, 5), "-01-01")),
labels = date_format("%Y")) +
theme(legend.position = c(0.75, 0.8),
legend.title = element_blank()) +
scale_y_continuous(breaks = 0.01*seq(-30, 30, 1),
labels = percent_format(a = 1))