Merchandise trade (% of GDP) - TG.VAL.TOTL.GD.ZS

Data - WDI

~/data/wdi/

Nobs - Javascript

TG.VAL.TOTL.GD.ZS %>%
  left_join(iso2c, by = "iso2c") %>%
  group_by(iso2c, Iso2c) %>%
  mutate(TG.VAL.TOTL.GD.ZS = round(TG.VAL.TOTL.GD.ZS, 2)) %>%
  summarise(Nobs = n(),
            `Year 1` = first(year),
            `NX 1 (%)` = first(TG.VAL.TOTL.GD.ZS),
            `Year 2` = last(year),
            `NX 2 (%)` = last(TG.VAL.TOTL.GD.ZS)) %>%
  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 .}

France, Germany, Italy

TG.VAL.TOTL.GD.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 = TG.VAL.TOTL.GD.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Merchandise trade (% of GDP)") +
  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, 120, 5),
                     labels = scales::percent_format(accuracy = 1))

Germany, France, Switzerland

TG.VAL.TOTL.GD.ZS %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  filter(iso2c %in% c("CH", "FR", "DE"),
         date >= as.Date("1970-01-01")) %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = TG.VAL.TOTL.GD.ZS/100) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Merchandise trade (% of GDP)") +
  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, 150, 5),
                     labels = scales::percent_format(accuracy = 1))

France, Germany, United States, World, China

TG.VAL.TOTL.GD.ZS %>%
  filter(iso2c %in% c("US", "FR", "DE", "CN", "1W")) %>%
  left_join(iso2c, by = "iso2c") %>%
  year_to_date %>%
  left_join(colors, by = c("Iso2c" = "country")) %>%
  mutate(value = TG.VAL.TOTL.GD.ZS/100,
         color = ifelse(iso2c == "DE", color2, color)) %>%
  ggplot(.) + geom_line(aes(x = date, y = value, color = color)) +
  xlab("") + ylab("Merchandise trade (% of GDP)") +
  theme_minimal() + scale_color_identity() + add_5flags +
  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, 120, 5),
                     labels = scales::percent_format(accuracy = 1))