Code
tibble(LAST_DOWNLOAD = as.Date(file.info("~/iCloud/website/data/eurostat/enpe_nama_10_ulc.RData")$mtime)) %>%
print_table_conditional()| LAST_DOWNLOAD |
|---|
| 2026-02-23 |
Data - Eurostat
tibble(LAST_DOWNLOAD = as.Date(file.info("~/iCloud/website/data/eurostat/enpe_nama_10_ulc.RData")$mtime)) %>%
print_table_conditional()| LAST_DOWNLOAD |
|---|
| 2026-02-23 |
| LAST_COMPILE |
|---|
| 2026-02-24 |
enpe_nama_10_ulc %>%
group_by(time) %>%
summarise(Nobs = n()) %>%
arrange(desc(time)) %>%
head(1) %>%
print_table_conditional()| time | Nobs |
|---|---|
| 2024 | 3 |
enpe_nama_10_ulc %>%
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 .}enpe_nama_10_ulc %>%
group_by(time) %>%
summarise(Nobs = n()) %>%
arrange(desc(time)) %>%
print_table_conditional()| time | Nobs |
|---|---|
| 2024 | 3 |
| 2023 | 4 |
| 2022 | 4 |
| 2021 | 4 |
| 2020 | 5 |
| 2019 | 5 |
| 2018 | 5 |
| 2017 | 5 |
| 2016 | 5 |
| 2015 | 5 |
| 2014 | 5 |
| 2013 | 5 |
| 2012 | 5 |
| 2011 | 5 |
| 2010 | 4 |
| 2009 | 5 |
| 2008 | 5 |
| 2007 | 5 |
| 2006 | 5 |
| 2005 | 4 |