12. filter
x y
purple 2
purple 3
red 4
red 5
purple 6
yellow 7
yellow 8
x y
purple 2
purple 3
purple 6
data %>% filter( x == "purple" )
13. mutate
x y
purple 2
purple 3
red 4
red 5
purple 6
yellow 7
yellow 8
data %>% mutate( y = y*2, z = nchar(x) )
x y z
purple 4 6
purple 6 6
red 8 3
red 10 3
purple 12 6
yellow 14 6
yellow 16 6
14. select
x y
purple 2
purple 3
red 4
red 5
purple 6
yellow 7
yellow 8
data %>% select( x )
x
purple
purple
red
red
purple
yellow
yellow
15. arrange
x y
purple 2
purple 3
red 4
red 5
purple 6
yellow 7
yellow 8
data %>% arrange( desc(x) )
x y
yellow 8
yellow 7
purple 6
red 5
red 4
purple 3
purple 2
16. group_by
x y
purple 2
purple 3
red 4
red 5
purple 6
yellow 7
yellow 8
x y
purple 2
purple 3
purple 6
data %>% group_by( x )
x y
red 4
red 5
x y
yellow 7
yellow 8
18. group_by + summarise
x y
purple 2
purple 3
red 4
red 5
purple 6
yellow 7
yellow 8
x y
purple 2
purple 3
purple 6
data %>% group_by( x )%>% summarise( z = max(y) )
x y
red 4
red 5
x y
yellow 7
yellow 8
x z
purple 6
red 5
yellow 8
23. Les comédies les plus
téléchargées en ce moment
en qualité dvdrip
24. Les comédies les plus
téléchargées en ce moment
en qualité dvdrip
movies %>%
filter(
grepl( "comedies", type ),
quality == "dvdrip"
) %>%
arrange( desc(down) )
28. episodes %>%
filter( lang == "vostfr" ) %>%
group_by( show ) %>%
filter( season == max(season) ) %>%
filter( episode == max(episode) ) %>%
arrange(desc(up))
Le dernier episode disponible de
chaque série en VO
29. episodes %>%
filter( lang == "vostfr" ) %>%
group_by( show ) %>%
filter( season == max(season) ) %>%
filter( episode == max(episode) ) %>%
filter( episode == 1 ) %>%
arrange( desc(up) )
... les séries d'automne ...