Euro/ECU exchange rates - annual data - ert_bil_eur_a

Data - Eurostat

Author

currency

Code

ert_bil_eur_a %>%
  left_join(currency, by = "currency") %>%
  group_by(currency, Currency) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

unit

Code

ert_bil_eur_a %>%
  left_join(unit, by = "unit") %>%
  group_by(unit, Unit) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

unit	Unit	Nobs
NAC	National currency	7733

statinfo

Code

ert_bil_eur_a %>%
  left_join(statinfo, by = "statinfo") %>%
  group_by(statinfo, Statinfo) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}

statinfo	Statinfo	Nobs
AVG	Average	3885
END	Value at the end of the period	3848

time

Code

ert_bil_eur_a %>%
  group_by(time) %>%
  summarise(Nobs = n()) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Table -

Code

ert_bil_eur_a %>%
  filter(statinfo == "END",
         time %in% c("2019", "2009", "1999", "1989")) %>%
  left_join(currency, by = "currency") %>%
  select(-statinfo, -unit) %>%
  spread(time, values) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Canadian $, Pound, Swiss Franc, $

Code

ert_bil_eur_a %>%
  filter(statinfo == "END",
         currency %in% c("GBP", "CHF", "USD", "CAD")) %>%
  time_to_date %>%
  left_join(currency, by = "currency") %>%
  ggplot() + geom_line() + theme_minimal() +
  aes(x = date, y = values, color = Currency, linetype = Currency) +
  scale_color_manual(values = viridis(5)[1:4]) +
  scale_x_date(breaks = seq(1920, 2025, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  theme(legend.position = c(0.85, 0.85),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = seq(0, 9, 0.2)) +
  ylab("Exchange Rate") + xlab("")

Australian $, New Zealand $, Polish Zloty, Singapore $

Code

ert_bil_eur_a %>%
  filter(statinfo == "END",
         currency %in% c("PLN", "SGD", "AUD", "NZD")) %>%
  time_to_date %>%
  left_join(currency, by = "currency") %>%
  ggplot() + geom_line() + theme_minimal() +
  aes(x = date, y = values, color = Currency, linetype = Currency) +
  scale_color_manual(values = viridis(5)[1:4]) +
  scale_x_date(breaks = seq(1920, 2025, 5) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  theme(legend.position = c(0.15, 0.85),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = seq(0, 9, 0.2)) +
  ylab("Exchange Rate") + xlab("")

France, Italy, Germany

Code

ert_bil_eur_a %>%
  filter(statinfo == "END",
         currency %in% c("PLN", "HUF")) %>%
  time_to_date %>%
  left_join(currency, by = "currency") %>%
  ggplot() + geom_line() + theme_minimal() +
  aes(x = date, y = values, color = Currency, linetype = Currency) +
  scale_color_manual(values = viridis(4)[1:3]) +
  scale_x_date(breaks = seq(1920, 2025, 1) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  theme(legend.position = c(0.35, 0.9),
        legend.title = element_blank()) +
  scale_y_continuous(breaks = seq(-100, 300, 10)) +
  ylab("House Price Index") + xlab("")