Last observation: 2023 (N = 6)
First observation: 1949 (N = 6)
Last data update: 02 août 2026, 11:04
Last compile: 24 sept. 2026, 00:54
`econ-gen-solde-ech-ext-2` |>
left_join(`econ-gen-solde-ech-ext-2_var`, by = "variable") |>
group_by(variable, Variable) |>
summarise(Nobs = n()) |>
arrange(-Nobs) %>%
{if (is_html_output()) print_table(.) else .}| variable | Variable | Nobs |
|---|---|---|
| ALIM | Biens alimentaires | 75 |
| AUTR | Autres biens industriels | 75 |
| ENER | Energie | 75 |
| MATE | Matériels de transport | 75 |
| SERV | Services | 75 |
| SOLD | Solde du commerce extérieur | 75 |
`econ-gen-solde-ech-ext-2` |>
group_by(year) |>
summarise(Nobs = n()) |>
arrange(-Nobs) |>
arrange(desc(year)) %>%
{if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}`econ-gen-solde-ech-ext-2` |>
year_to_date2() |>
left_join(gdp, by = "date") |>
mutate(value = value/gdp) |>
select(-gdp) |>
spread(variable, value) |>
transmute(date,
Biens = ALIM + AUTR + ENER + MATE,
Services = SERV,
`Biens et Services` = SOLD) |>
gather(variable, value, -date) |>
ggplot() + theme_minimal() +
geom_line(aes(x = date, y = value, color = variable)) +
theme(legend.title = element_blank(),
legend.position = c(0.2, 0.2)) +
scale_x_date(breaks = seq(1950, 2100, 10) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-7, 16, 1),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("% du PIB") +
geom_hline(yintercept = 0, linetype = "dashed")
`econ-gen-solde-ech-ext-2` |>
year_to_date2() |>
left_join(gdp, by = "date") |>
mutate(value = value/gdp) |>
select(-gdp) |>
spread(variable, value) |>
transmute(date,
`Biens` = ALIM + AUTR + ENER + MATE,
`Services` = SERV,
`Biens et Services` = SOLD) |>
gather(variable, value, -date) |>
filter(date >= as.Date("1955-01-01")) |>
ggplot() + theme_minimal() +
geom_line(aes(x = date, y = value, color = variable)) +
theme(legend.title = element_blank(),
legend.position = "none") +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-7, 16, 1),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("Solde des échanges extérieurs (% du PIB)") +
geom_hline(yintercept = 0, linetype = "dashed") +
geom_label_repel(data = . %>% filter(date == max(date)), aes(x = date, y = value, label = variable, color = variable))
`econ-gen-solde-ech-ext-2` |>
year_to_date2() |>
left_join(gdp, by = "date") |>
mutate(value = value/gdp) |>
select(-gdp) |>
spread(variable, value) |>
transmute(date,
`Biens` = ALIM + AUTR + ENER + MATE,
`Services` = SERV,
`Biens et Services` = SOLD) |>
gather(variable, value, -date) |>
filter(date >= as.Date("1975-01-01")) |>
ggplot() + theme_minimal() +
geom_line(aes(x = date, y = value, color = variable)) +
theme(legend.title = element_blank(),
legend.position = "none") +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-7, 16, 1),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("Solde des échanges extérieurs (% du PIB)") +
geom_hline(yintercept = 0, linetype = "dashed") +
geom_label_repel(data = . %>% filter(date == max(date)), aes(x = date, y = value, label = variable, color = variable))
`econ-gen-solde-ech-ext-2` |>
year_to_date2() |>
left_join(gdp, by = "date") |>
mutate(value = value/gdp) |>
filter(variable %in% c("ENER", "SERV", "AUTR", "ALIM", "MATE")) |>
left_join(`econ-gen-solde-ech-ext-2_var`, by = "variable") |>
ggplot() + theme_minimal() +
geom_line(aes(x = date, y = value, color = Variable)) +
theme(legend.title = element_blank(),
legend.position = c(0.2, 0.2)) +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-7, 16, 1),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("% du PIB") +
geom_hline(yintercept = 0, linetype = "dashed")
`econ-gen-solde-ech-ext-2` |>
year_to_date2() |>
left_join(gdp, by = "date") |>
mutate(value = value/gdp) |>
filter(variable %in% c("ENER", "SOLD", "AUTR")) |>
left_join(`econ-gen-solde-ech-ext-2_var`, by = "variable") |>
ggplot() + xlab("") + ylab("% du PIB") +
theme_minimal() +
geom_line(aes(x = date, y = value, color = Variable)) +
theme(legend.title = element_blank(),
legend.position = c(0.8, 0.15)) +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-7, 16, 1),
labels = scales::percent_format(accuracy = 1)) +
geom_hline(yintercept = 0, linetype = "dashed")
`econ-gen-solde-ech-ext-2` |>
year_to_date2() |>
left_join(gdp, by = "date") |>
mutate(value = value/gdp) |>
filter(variable %in% c("ALIM", "MATE", "SOLD")) |>
left_join(`econ-gen-solde-ech-ext-2_var`, by = "variable") |>
ggplot() + theme_minimal() +
geom_line(aes(x = date, y = value, color = Variable)) +
theme(legend.title = element_blank(),
legend.position = c(0.8, 0.15)) +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-7, 16, 1),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("% du PIB") +
geom_hline(yintercept = 0, linetype = "dashed")
`econ-gen-solde-ech-ext-2` |>
year_to_date2() |>
left_join(gdp, by = "date") |>
mutate(value = value/gdp) |>
filter(variable %in% c("SERV", "SOLD")) |>
left_join(`econ-gen-solde-ech-ext-2_var`, by = "variable") |>
ggplot() + theme_minimal() +
geom_line(aes(x = date, y = value, color = Variable)) +
theme(legend.title = element_blank(),
legend.position = c(0.2, 0.2)) +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-7, 16, 1),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("% du PIB") +
geom_hline(yintercept = 0, linetype = "dashed")
`econ-gen-solde-ech-ext-2` |>
year_to_date2() |>
left_join(gdp, by = "date") |>
mutate(value = value/gdp) |>
filter(variable %in% c("ALIM", "SOLD")) |>
left_join(`econ-gen-solde-ech-ext-2_var`, by = "variable") |>
ggplot() + theme_minimal() +
geom_line(aes(x = date, y = value, color = Variable)) +
theme(legend.title = element_blank(),
legend.position = c(0.8, 0.15)) +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-7, 16, 1),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("% du PIB") +
geom_hline(yintercept = 0, linetype = "dashed")
`econ-gen-solde-ech-ext-2` |>
year_to_date2() |>
left_join(gdp, by = "date") |>
mutate(value = value/gdp) |>
filter(variable %in% c("ENER", "SOLD")) |>
left_join(`econ-gen-solde-ech-ext-2_var`, by = "variable") |>
ggplot() + theme_minimal() +
geom_line(aes(x = date, y = value, color = Variable)) +
theme(legend.title = element_blank(),
legend.position = c(0.2, 0.2)) +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-7, 16, 1),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("% du PIB") +
geom_hline(yintercept = 0, linetype = "dashed")
`econ-gen-solde-ech-ext-2` |>
year_to_date2() |>
left_join(gdp, by = "date") |>
mutate(value = value/gdp) |>
filter(variable %in% c("AUTR", "SOLD")) |>
left_join(`econ-gen-solde-ech-ext-2_var`, by = "variable") |>
ggplot() + theme_minimal() +
geom_line(aes(x = date, y = value, color = Variable)) +
theme(legend.title = element_blank(),
legend.position = c(0.2, 0.2)) +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-7, 16, 1),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("% du PIB") +
geom_hline(yintercept = 0, linetype = "dashed")
`econ-gen-solde-ech-ext-2` |>
year_to_date2() |>
left_join(gdp, by = "date") |>
mutate(value = value/gdp) |>
filter(variable %in% c("MATE", "SOLD")) |>
left_join(`econ-gen-solde-ech-ext-2_var`, by = "variable") |>
ggplot() + theme_minimal() +
geom_line(aes(x = date, y = value, color = Variable)) +
theme(legend.title = element_blank(),
legend.position = c(0.2, 0.2)) +
scale_x_date(breaks = seq(1950, 2100, 5) |> paste0("-01-01") |> as.Date(),
labels = date_format("%Y")) +
scale_y_continuous(breaks = 0.01*seq(-7, 16, 1),
labels = scales::percent_format(accuracy = 1)) +
xlab("") + ylab("% du PIB") +
geom_hline(yintercept = 0, linetype = "dashed")