Code
%>%
tgs00010 group_by(unit) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
if (is_html_output()) print_table(.) else .} {
unit | Nobs |
---|---|
PC | 61623 |
Data - Eurostat
%>%
tgs00010 group_by(unit) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
if (is_html_output()) print_table(.) else .} {
unit | Nobs |
---|---|
PC | 61623 |
%>%
tgs00010 group_by(age) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
if (is_html_output()) print_table(.) else .} {
age | Nobs |
---|---|
Y_GE15 | 61623 |
%>%
tgs00010 group_by(geo) %>%
summarise(Nobs = n()) %>%
arrange(-Nobs) %>%
if (is_html_output()) datatable(., filter = 'top', rownames = F) else .} {
%>%
tgs00010 filter(time == 2015,
nchar(geo) == 4) %>%
right_join(europe_NUTS2, by = "geo") %>%
filter(long >= -15, lat >= 33) %>%
ggplot(., aes(x = long, y = lat, group = group, fill = values/1000)) +
geom_polygon() + coord_map() +
scale_fill_viridis_c(na.value = "white",
labels = scales::dollar_format(accuracy = 1, prefix = "", suffix = " k€"),
breaks = c(seq(0, 80, 5), 100, 200),
values = c(0, 0.1, 0.2, 0.3, 0.4, 0.5, 1)) +
theme_void() + theme(legend.position = c(0.25, 0.85)) +
labs(fill = "Disposable Income")