source | dataset | .html | .RData |
---|---|---|---|
eurostat | ert_h_eur_d | 2024-11-01 | 2024-06-08 |
Former euro area national currencies vs. euro/ECU - daily data
Data - Eurostat
Info
Data on xrates
source | dataset | .html | .RData |
---|---|---|---|
bdf | EXR | 2024-07-26 | 2024-06-18 |
bis | EER | 2024-08-09 | 2024-08-28 |
bis | EER_D | 2024-08-28 | 2024-05-10 |
bis | XRU | 2024-05-10 | 2024-09-15 |
bis | XRU_D | 2024-08-28 | 2024-08-28 |
ecb | EXR | 2024-10-08 | 2024-11-01 |
eurostat | ert_bil_eur_d | 2024-11-05 | 2024-10-08 |
eurostat | ert_h_eur_d | 2024-11-01 | 2024-06-08 |
fred | xrates | 2024-11-01 | 2024-11-01 |
gfd | xrates | 2024-06-20 | 2021-01-08 |
oecd | REFSERIES_MSIT | 2024-09-15 | 2024-04-30 |
oecd | SNA_TABLE4 | 2024-09-15 | 2024-04-30 |
wdi | PA.NUS.FCRF | 2024-08-28 | 2024-09-18 |
LAST_COMPILE
LAST_COMPILE |
---|
2024-11-05 |
Last
Code
%>%
ert_h_eur_d group_by(time) %>%
summarise(Nobs = n()) %>%
arrange(desc(time)) %>%
head(1) %>%
print_table_conditional()
time | Nobs |
---|---|
2022-12-30 | 20 |
currency
Code
%>%
ert_h_eur_d left_join(currency, by = "currency") %>%
group_by(currency, Currency) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional()
currency | Currency | Nobs |
---|---|---|
NLG | Dutch guilder | 12471 |
ATS | Austrian schilling | 12466 |
DEM | German mark | 12464 |
BEF | Belgian franc | 12460 |
LUF | Luxembourg franc | 12460 |
IEP | Irish pound | 12456 |
ITL | Italian lira | 12454 |
FRF | French franc | 12440 |
ESP | Spanish peseta | 12228 |
PTE | Portuguese escudo | 12228 |
FIM | Finnish markka | 12227 |
GRD | Greek drachma | 11660 |
MTL | Maltese lira | 8508 |
CYP | Cyprus pound | 8446 |
SIT | Slovenian tolar | 8059 |
LVL | Latvian lats | 7937 |
HRK | Croatian kuna | 7859 |
SKK | Slovak koruna | 7719 |
LTL | Lithuanian litas | 7587 |
EEK | Estonian Kroon | 6204 |
DEM, FRF
All
Code
%>%
ert_h_eur_d filter(currency %in% c("DEM", "FRF")) %>%
left_join(currency, by = "currency") %>%
%>%
day_to_date mutate(Geo = case_when(currency == "DEM" ~ "Germany",
== "FRF" ~ "France",
currency == "ITA" ~ "Italy")) %>%
currency left_join(colors, by = c("Geo" = "country")) %>%
+ geom_line(aes(x = date, y = values, color = color)) +
ggplot scale_color_identity() + theme_minimal() + add_2flags +
scale_x_date(breaks = as.Date(paste0(seq(1960, 2030, 5), "-01-01")),
labels = date_format("%Y")) +
xlab("") + ylab("") +
scale_y_continuous(breaks = seq(0, 10, 0.5))