Youth employment rate by sex, age and NUTS 2 regions - yth_empl_030

Data - Eurostat

sex

Code
yth_empl_030 %>%
  left_join(sex, by = "sex") %>%
  group_by(sex, Sex) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}
sex Sex Nobs
F Females 67362
M Males 67362
T Total 67362

age

Code
yth_empl_030 %>%
  left_join(age, by = "age") %>%
  group_by(age, Age) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) print_table(.) else .}
age Age Nobs
Y15-19 From 15 to 19 years 33681
Y15-24 From 15 to 24 years 33681
Y15-29 From 15 to 29 years 33681
Y20-24 From 20 to 24 years 33681
Y20-29 From 20 to 29 years 33681
Y25-29 From 25 to 29 years 33681

unit

Code
yth_empl_030 %>%
  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 Percentage 202086

geo

Code
yth_empl_030 %>%
  left_join(geo, by = "geo") %>%
  group_by(geo, Geo) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Unemployment Rate

Code
yth_empl_030 %>%
  filter(time == "2015", 
         nchar(geo) == 4,
         sex == "T",
         age == "Y15-29") %>%
  left_join(geo, by = "geo") %>%
  select(geo, Geo, unemployment = values) %>%
  {if (is_html_output()) datatable(., filter = 'top', rownames = F) else .}

Youth Employment - NUTS2

Code
yth_empl_030 %>%
  filter(time == "2015", 
         nchar(geo) == 4,
         sex == "T",
         age == "Y15-29") %>%
  right_join(europe_NUTS2, by = "geo") %>%
  filter(long >= -15, lat >= 33) %>%
  ggplot(., aes(x = long, y = lat, group = group, fill = values/100)) +
  geom_polygon() + coord_map() +
  scale_fill_viridis_c(na.value = "white",
                       labels = scales::percent_format(accuracy = 1),
                       direction = -1,
                       breaks = 0.01*seq(0, 100, 10),
                       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 = "Youth Employment (%)")