evt %>% 
  count(N_DOS) %>% 
  count(nb_dos=n) %>% 
  arrange(nb_dos) %>% 
  mutate(
    partn=cumsum(n)/sum(n),
    partcond=cumsum(n*nb_dos)/sum(n*nb_dos)
  ) %>% 
  head(10) %>% 
  kable()
nb_dos n partn partcond
1 3860619 0.6516508 0.3212392
2 949144 0.8118609 0.4791944
3 408562 0.8808239 0.5811828
4 218924 0.9177771 0.6540488
5 132037 0.9400642 0.7089823
6 86483 0.9546620 0.7521594
7 60715 0.9649103 0.7875238
8 44379 0.9724013 0.8170657
9 33164 0.9779992 0.8419017
10 25247 0.9822607 0.8629095

Lecture