Code
%>%
sl_cho_2018T4 group_by(dep_num, dep) %>%
summarise(Nobs = n()) %>%
if (is_html_output()) datatable(., filter = 'top', rownames = F) else .} {
Data - INSEE
%>%
sl_cho_2018T4 group_by(dep_num, dep) %>%
summarise(Nobs = n()) %>%
if (is_html_output()) datatable(., filter = 'top', rownames = F) else .} {
%>%
sl_cho_2018T4 group_by(date) %>%
summarise(Nobs = n()) %>%
if (is_html_output()) datatable(., filter = 'top', rownames = F) else .} {
%>%
sl_cho_2018T4 filter(dep_num %in% c("92", "93", "75")) %>%
mutate(date = as.Date(date),
dep = str_to_title(dep)) %>%
+ geom_line(aes(x = date, y = value/100, color = dep, linetype = dep)) +
ggplot theme_minimal() + xlab("") + ylab("Taux de chômage") +
scale_x_date(breaks = seq(1960, 2020, 5) %>% paste0("-01-01") %>% as.Date,
labels = date_format("%y")) +
scale_y_continuous(breaks = 0.01*seq(0, 500, 1),
labels = percent_format(accuracy = 1)) +
scale_color_manual(values = viridis(4)[1:3]) +
theme(legend.position = c(0.15, 0.8),
legend.title = element_blank())