March 2018
Intermediate to advanced
528 pages
13h 2m
Portuguese (Portugal, Brazil)
Content preview from R para Data Science
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252 | Capítulo 13: Datas e Horas com lubridate
#> # A tibble: 10,633 × 9
#> origin dest dep_delay arr_delay dep_time
#> <chr> <chr> <dbl> <dbl> <dttm>
#> 1 EWR BQN 9 -4 2013-01-01 19:29:00
#> 2 JFK DFW 59 NA 2013-01-01 19:39:00
#> 3 EWR TPA -2 9 2013-01-01 20:58:00
#> 4 EWR SJU -6 -12 2013-01-01 21:02:00
#> 5 EWR SFO 11 -14 2013-01-01 21:08:00
#> 6 LGA FLL -10 -2 2013-01-01 21:20:00
#> # ... with 1.063e+04 more rows, and 4 more variables:
#> # sched_dep_time <dttm>, arr_time <dttm>,
#> # sched_arr_time <dttm>, air_time <dbl>
Esses são voos noturnos. Nós usamos as mesmas informações de datas tanto para os
horários de partida quanto para os de chegada, ma ...
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