Macro économie - Zone euro - AME

Données - BDF

Auteur

François Geerolf

Info

Structure

LAST_DOWNLOAD

LAST_DOWNLOAD
NA

PIB en parité de pouvoir d’achat (PPA)

France, Allemagne, Italie, Espagne

Code 
AME %>%
  
  filter(AME_ITEM == "UVGD",
         AME_REF_AREA %in% c("FRA", "DEU", "ITA", "ESP")) %>%
  mutate(Ref_area = case_when(AME_REF_AREA == "FRA" ~ "France",
                               AME_REF_AREA == "DEU" ~ "Germany",
                               AME_REF_AREA == "ITA" ~ "Italy",
                               AME_REF_AREA == "ESP" ~ "Spain")) %>%
  left_join(colors, by = c("Ref_area" = "country")) %>%
  na.omit %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  theme_minimal() + xlab("") + ylab("") + scale_color_identity() + add_4flags +
  scale_x_date(breaks = seq(1960, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(labels = dollar_format(accuracy = 1, prefix = "", suffix = " Mds PPA"))

Depuis 2000

Code 
AME %>%
  
  filter(AME_ITEM == "UVGD",
         AME_REF_AREA %in% c("FRA", "DEU", "ITA", "ESP")) %>%
  filter(date >= as.Date("2000-01-01")) %>%
  mutate(Ref_area = case_when(AME_REF_AREA == "FRA" ~ "France",
                               AME_REF_AREA == "DEU" ~ "Germany",
                               AME_REF_AREA == "ITA" ~ "Italy",
                               AME_REF_AREA == "ESP" ~ "Spain")) %>%
  left_join(colors, by = c("Ref_area" = "country")) %>%
  na.omit %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  theme_minimal() + xlab("") + ylab("") + scale_color_identity() + add_4flags +
  scale_x_date(breaks = seq(1960, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(labels = dollar_format(accuracy = 1, prefix = "", suffix = " Mds PPA"))

Balance courante (% du PIB)

France, Allemagne, Italie, Espagne

Code 
AME %>%
  
  filter(AME_ITEM == "UBCA",
         AME_REF_AREA %in% c("FRA", "DEU", "ITA", "ESP")) %>%
  mutate(Ref_area = case_when(AME_REF_AREA == "FRA" ~ "France",
                               AME_REF_AREA == "DEU" ~ "Germany",
                               AME_REF_AREA == "ITA" ~ "Italy",
                               AME_REF_AREA == "ESP" ~ "Spain"),
         value = value/100) %>%
  left_join(colors, by = c("Ref_area" = "country")) %>%
  na.omit %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  geom_hline(yintercept = 0, linetype = "dashed", color = "black") +
  theme_minimal() + xlab("") + ylab("") + scale_color_identity() + add_4flags +
  scale_x_date(breaks = seq(1960, 2100, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(labels = scales::percent_format(accuracy = 1))

Depuis 2000

Code 
AME %>%
  
  filter(AME_ITEM == "UBCA",
         AME_REF_AREA %in% c("FRA", "DEU", "ITA", "ESP")) %>%
  filter(date >= as.Date("2000-01-01")) %>%
  mutate(Ref_area = case_when(AME_REF_AREA == "FRA" ~ "France",
                               AME_REF_AREA == "DEU" ~ "Germany",
                               AME_REF_AREA == "ITA" ~ "Italy",
                               AME_REF_AREA == "ESP" ~ "Spain"),
         value = value/100) %>%
  left_join(colors, by = c("Ref_area" = "country")) %>%
  na.omit %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  geom_hline(yintercept = 0, linetype = "dashed", color = "black") +
  theme_minimal() + xlab("") + ylab("") + scale_color_identity() + add_4flags +
  scale_x_date(breaks = seq(1960, 2100, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  scale_y_continuous(labels = scales::percent_format(accuracy = 1))

PIB par habitant en PPA : dernière année disponible

Code 
AME %>%
  
  filter(AME_ITEM == "HVGDP",
         AME_REF_AREA %in% c("FRA", "DEU", "ITA", "ESP")) %>%
  filter(!is.na(value)) %>%
  group_by(AME_REF_AREA) %>%
  filter(date == max(date)) %>%
  ungroup() %>%
  mutate(Country = case_when(AME_REF_AREA == "FRA" ~ "France",
                              AME_REF_AREA == "DEU" ~ "Germany",
                              AME_REF_AREA == "ITA" ~ "Italy",
                              AME_REF_AREA == "ESP" ~ "Spain")) %>%
  select(Country, date, value) %>%
  arrange(desc(value)) %>%
  print_table_conditional()
Country date value
Germany 2027-12-31 51.22
France 2027-12-31 43.43
Italy 2027-12-31 42.45
Spain 2027-12-31 41.14