April 2025
Intermediate to advanced
578 pages
13h 35m
Portuguese (Portugal, Brazil)
library(tidyverse)library(nycflights13)
Content preview from R for Data Science, 2ª Edição
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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.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.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.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.
Capítulo 13. Números
Este trabalho foi traduzido com recurso a IA. Agradecemos o teu feedback e comentários: translation-feedback@oreilly.com
Introdução
Os vectores numéricos são a espinha dorsal da ciência dos dados e já os utilizaste várias vezes no início do livro. Agora está na altura de pesquisar sistematicamente o que podes fazer com eles em R, garantindo que estás bem situado para resolver qualquer problema futuro que envolva vectores numéricos.
Começaremos por te dar algumas ferramentas para fazeres números se tiveres cordas e depois entraremos em mais pormenores sobre count(). Em seguida, vamos mergulhar em várias transformações numéricas que combinam bem com mutate()incluindo transformações mais gerais que podem ser aplicadas a outros tipos de vetores, mas que são frequentemente usadas com vetores numéricos. Terminaremos cobrindo as funções de resumo que combinam bem com summarize() e mostrar-te como também podem ser utilizadas com mutate().
Pré-requisitos
Este capítulo utiliza sobretudo funções da base R, que estão disponíveis sem carregar nenhum pacote. Mas continuamos a precisar do tidyverse porque vamos usar estas funções do R base dentro de funções do tidyverse como mutate() e filter(). Tal como no capítulo anterior, vamos usar exemplos reais de nycflights13, bem como exemplos de brinquedo feitos com c() e tribble().
Fazendo números
Na maioria dos casos, obterás números já registados num dos tipos numéricos do R: integer ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Read now
Unlock full access
More than 5,000 organizations count on O’Reilly
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.