Le contrat d’apprentissage

Data - DARES

Author

Variable

Code

Dares_caracteristiques_des_entrees_en_apprentissage_de_1993_a_2020 %>%
  group_by(Variable) %>%
  summarise(Nobs = n()) %>%
  arrange(-Nobs) %>%
  print_table_conditional()

Secteurs

Code

Dares_caracteristiques_des_entrees_en_apprentissage_de_1993_a_2020 %>%
  filter(Variable %in% c("Agriculture, sylviculture, pêche", "Services aux entreprises", "Hébergement et restauration", "Commerce")) %>%
  ggplot() + geom_line(aes(x = date, y = value/100, color = Variable)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2022, 1) %>% 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(5)[1:4]) +
  theme(legend.position = c(0.5, 0.8),
        legend.title = element_blank())

Secteurs

Code

Dares_caracteristiques_des_entrees_en_apprentissage_de_1993_a_2020 %>%
  filter(Variable %in% c("Industrie", "Construction", "Autres secteurs du tertiaire")) %>%
  ggplot() + geom_line(aes(x = date, y = value/100, color = Variable)) + 
  theme_minimal() + xlab("") + ylab("") +
  scale_x_date(breaks = seq(1960, 2022, 1) %>% 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(5)[1:4]) +
  theme(legend.position = c(0.5, 0.8),
        legend.title = element_blank())

Flux de contrats d’apprentissage

Code

Dares_caracteristiques_des_entrees_en_apprentissage_de_1993_a_2020 %>%
  filter(Variable %in% c("Flux de nouveaux contrats")) %>%
  ggplot() + geom_line(aes(x = date, y = value)) + 
  theme_minimal() + xlab("") + ylab("Flux de nouveaux contrats d'apprentissage") +
  scale_x_date(breaks = seq(1960, 2022, 2) %>% paste0("-01-01") %>% as.Date,
               labels = date_format("%y")) +
  scale_y_continuous(breaks = seq(0, 500000, 50000),
                labels = dollar_format(accuracy = 1, pre = "")) +
  scale_color_manual(values = viridis(5)[1:4]) +
  theme(legend.position = c(0.5, 0.8),
        legend.title = element_blank())