Code
tibble(LAST_DOWNLOAD = as.Date(file.info("~/Library/Mobile\ Documents/com~apple~CloudDocs/website/data/eurostat/enpe_nama_10_ulc.RData")$mtime)) %>%
print_table_conditional()
LAST_DOWNLOAD |
---|
2024-10-08 |
Data - Eurostat
tibble(LAST_DOWNLOAD = as.Date(file.info("~/Library/Mobile\ Documents/com~apple~CloudDocs/website/data/eurostat/enpe_nama_10_ulc.RData")$mtime)) %>%
print_table_conditional()
LAST_DOWNLOAD |
---|
2024-10-08 |
LAST_COMPILE |
---|
2024-11-05 |
%>%
enpe_nama_10_ulc group_by(time) %>%
summarise(Nobs = n()) %>%
arrange(desc(time)) %>%
head(1) %>%
print_table_conditional()
time | Nobs |
---|---|
2022 | 2 |
%>%
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 |
---|---|
2022 | 2 |
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 |