Code
tibble(LAST_DOWNLOAD = as.Date(file.info("~/Library/Mobile\ Documents/com~apple~CloudDocs/website/data/eurostat/nasa_10_nf_tr.RData")$mtime)) %>%
print_table_conditional()
LAST_DOWNLOAD |
---|
2024-10-08 |
Data - Eurostat
tibble(LAST_DOWNLOAD = as.Date(file.info("~/Library/Mobile\ Documents/com~apple~CloudDocs/website/data/eurostat/nasa_10_nf_tr.RData")$mtime)) %>%
print_table_conditional()
LAST_DOWNLOAD |
---|
2024-10-08 |
LAST_COMPILE |
---|
2024-11-22 |
%>%
nasa_10_f_tr group_by(time) %>%
summarise(Nobs = n()) %>%
arrange(desc(time)) %>%
head(1) %>%
print_table_conditional()
time | Nobs |
---|---|
2023 | 179615 |
%>%
nasa_10_f_tr left_join(unit, by = "unit") %>%
group_by(unit, Unit) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
if (is_html_output()) print_table(.) else .} {
unit | Unit | Nobs |
---|---|---|
MIO_NAC | Million units of national currency | 2510677 |
MIO_EUR | Million euro | 2426923 |
PC_GDP | Percentage of gross domestic product (GDP) | 2410898 |
PCH_PRE | Percentage change on previous period | 667568 |
PC_LE | NA | 1248 |
%>%
nasa_10_f_tr left_join(co_nco, by = "co_nco") %>%
group_by(co_nco, Co_nco) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
if (is_html_output()) print_table(.) else .} {
co_nco | Co_nco | Nobs |
---|---|---|
NCO | Non-consolidated | 4094125 |
CO | Consolidated | 3923189 |
%>%
nasa_10_f_tr left_join(sector, by = "sector") %>%
group_by(sector, Sector) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
if (is_html_output()) datatable(., filter = 'top', rownames = F) else .} {
%>%
nasa_10_f_tr left_join(finpos, by = "finpos") %>%
group_by(finpos, Finpos) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
if (is_html_output()) print_table(.) else .} {
finpos | Finpos | Nobs |
---|---|---|
ASS | Assets | 4070398 |
LIAB | Liabilities | 3946916 |
load_data("eurostat/na_item.RData")
%>%
nasa_10_f_tr left_join(na_item, by = "na_item") %>%
group_by(na_item, Na_item) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
if (is_html_output()) datatable(., filter = 'top', rownames = F) else .} {
%>%
nasa_10_f_tr left_join(geo, by = "geo") %>%
group_by(geo, Geo) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
mutate(Geo = ifelse(geo == "DE", "Germany", Geo)) %>%
mutate(Flag = gsub(" ", "-", str_to_lower(Geo)),
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 .} {