```r
plots_tibble = unemp_lux_data %>%
  filter(division %in% communes) %>%
  group_by(division) %>%
  nest() %>%
  mutate(plot = map2(.x = data, .y = division, ~ggplot(data = .x) +
       theme_minimal() +
       geom_line(aes(year, unemployment_rate_in_percent, group = 1)) +
       labs(title = paste("Unemployment in", .y))))
```