March 2018
Intermediate to advanced
528 pages
13h 2m
Portuguese (Portugal, Brazil)
Content preview from R para Data Science
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Mudanças Agrupadas (e Filtros) | 73
• Um voo está 15 minutos adiantado em 50% do tempo e 15 minutos atrasado
em 50% do tempo.
• Um voo está sempre 10 minutos atrasado.
• Um voo está 30 minutos adiantado em 50% do tempo e 30 minutos atrasado
em 50% do tempo.
•
Em 99% do tempo um voo está no horário. Em 1% do tempo, está 2 horas
atrasado.
O que é mais importante: atraso na chegada ou atraso na partida?
2. Crie outra abordagem que lhe dará o mesmo resultado que not_cancelled %>%
co unt(d est) e not_cancelled %>% count(tailnum, wt = distance) (sem
usar count()).
3. Nossa definição de voos cancelados (is.na(dep_delay) | is.na(arr_delay) ) é
ligei ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.