March 2018
Intermediate to advanced
528 pages
13h 2m
Portuguese (Portugal, Brazil)
Content preview from R para Data Science
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CAPÍTULO 6
Fluxo de Trabalho: Projetos
Um dia você precisará sair do R, fazer outra coisa, e então voltar à sua análise no dia
seguinte. Um dia você estará trabalhando ao mesmo tempo em várias análises que
usam R e precisará mantê-las separadas. Um dia você precisará trazer dados externos
ao R e enviar resultados numéricos e cálculos do R para o mundo externo. Para lidar
com essas situações reais, você precisa tomar duas decisões:
1. O que em sua análise é “real”? Isto é, o que você salvará como seu registro dura-
douro do que aconteceu?
2. Onde sua análise “vive”?
O que É Real?
Como usuário iniciante em R, não tem problema considerar seu ambiente ...
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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.
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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.