%>%
icw_sr_10 left_join(quantile, by = "quantile") %>%
group_by(quantile, Quantile) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
if (is_html_output()) print_table(.) else .} {
quantile | Quantile | Nobs |
---|---|---|
QU5 | Fifth quintile | 58 |
TOTAL | Total | 58 |
QU1 | First quintile | 57 |
QU2 | Second quintile | 57 |
QU3 | Third quintile | 57 |
QU4 | Fourth quintile | 57 |
%>%
icw_sr_10 left_join(unit, by = "unit") %>%
group_by(unit, Unit) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
if (is_html_output()) print_table(.) else .} {
unit | Unit | Nobs |
---|---|---|
PC_DI | Percentage of disposable income | 344 |
%>%
icw_sr_10 left_join(geo, by = "geo") %>%
group_by(geo, Geo) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
if (is_html_output()) datatable(., filter = 'top', rownames = F) else .} {
%>%
icw_sr_10 group_by(time) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
if (is_html_output()) print_table(.) else .} {
time | Nobs |
---|---|
2015 | 186 |
2010 | 158 |