Code
%>%
htec_si_exp4 left_join(unit, by = "unit") %>%
group_by(unit, Unit) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional
unit | Unit | Nobs |
---|---|---|
PC | Percentage | 496 |
Data - Eurostat
%>%
htec_si_exp4 left_join(unit, by = "unit") %>%
group_by(unit, Unit) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
print_table_conditional
unit | Unit | Nobs |
---|---|---|
PC | Percentage | 496 |
%>%
htec_si_exp4 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 .} {
%>%
htec_si_exp4 group_by(time) %>%
summarise(Nobs = n()) %>%
arrange(desc(time)) %>%
print_table_conditional()
time | Nobs |
---|---|
2022 | 31 |
2021 | 31 |
2020 | 31 |
2019 | 31 |
2018 | 31 |
2017 | 31 |
2016 | 31 |
2015 | 31 |
2014 | 31 |
2013 | 31 |
2012 | 31 |
2011 | 31 |
2010 | 31 |
2009 | 31 |
2008 | 31 |
2007 | 31 |