Gross Domestic Product

Data - GFD

Variables

gdp_info %>%
  select(Ticker, Name, Country) %>%
  right_join(gdp %>%
               group_by(Ticker) %>%
               summarise(Nobs = n(),
                         start = first(year(date)),
                         end = last(year(date))), by = "Ticker") %>%
  arrange(-Nobs) %>%
  mutate(Flag = gsub(" ", "-", str_to_lower(Country)),
         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 .}

By Country

USA

gdp %>%
  filter(iso3c %in% c("USA"),
         month(date) == 12,
         variable == "GDP",
         date >= as.Date("1800-01-01"),
         date <= as.Date("1914-01-01")) %>%
  select(iso3c, variable, date, value) %>%
  ggplot() + geom_line(aes(x = date, y = value)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1800, 2025, 10) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.2),
        legend.title = element_blank()) +
  scale_y_log10(breaks = c(1, 2, 3, 5, 8, 10, 20, 30),
                labels = dollar_format(suffix = " Bn", accuracy = 1))

GBR

gdp %>%
  filter(iso3c %in% c("GBR"),
         month(date) == 12,
         variable == "GDP",
         date >= as.Date("1800-01-01"),
         date <= as.Date("1914-01-01")) %>%
  select(iso3c, variable, date, value) %>%
  ggplot() + geom_line(aes(x = date, y = value)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1800, 2025, 10) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.2),
        legend.title = element_blank()) +
  scale_y_log10(breaks = 100*c(1, 2, 3, 5, 8, 10, 20, 30),
                labels = dollar_format(suffix = " Bn", p = "", ac = 1))

FRA

gdp %>%
  filter(iso3c %in% c("FRA"),
         month(date) == 12,
         variable == "GDP",
         date >= as.Date("1800-01-01"),
         date <= as.Date("1914-01-01")) %>%
  select(iso3c, variable, date, value) %>%
  ggplot() + geom_line(aes(x = date, y = value)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1800, 2025, 10) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.2),
        legend.title = element_blank()) +
  scale_y_log10(breaks = 10*c(1, 2, 3, 5, 8, 10, 20, 30),
                labels = dollar_format(suffix = " Bn", p = "", ac = 1))

JPN

gdp %>%
  filter(iso3c %in% c("JPN"),
         month(date) == 12,
         variable == "GDP",
         date >= as.Date("1800-01-01"),
         date <= as.Date("1914-01-01")) %>%
  select(iso3c, variable, date, value) %>%
  ggplot() + geom_line(aes(x = date, y = value)) +
  scale_color_manual(values = viridis(4)[1:3]) +
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1800, 2025, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%Y")) +
  theme(legend.position = c(0.25, 0.2),
        legend.title = element_blank()) +
  scale_y_log10(breaks = 100*c(1, 2, 3, 5, 8, 10, 20, 30, 40, 50),
                labels = dollar_format(suffix = " Bn", p = "", ac = 1))

Metadata

gdp_info %>% 
  select(Ticker, Name, Metadata) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}