October 2017
Intermediate to advanced
480 pages
9h 49m
Japanese
Content preview from Rではじめるデータサイエンス
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129
9
章
tidyr
によるデータ整理
9.1
はじめに
幸福な家族はどれも似通っているが、不幸な家族は不幸のあり方がそれぞれ異なっている。
―
トルストイ
（『アンナ・カレーニナ』冒頭の一文。この訳は、新潮文庫（木村浩訳）より）
整理データセットはどれも似通っているが、整理していないデータセットはそのあり方がそれ
ぞれ異なっている。
―
Hadley Wickham
本章では、整理データ（tidy data）と呼ぶ、Rにおけるデータの一貫した組織化方法を学びます。
データをこの形式にするには、準備作業が必要ですが長期的に見れば利益があります。整理データ
と
tidyverse
が提供する整理ツールがあれば、データをある表現形式から別のに変換することがより
迅速にできて、分析課題により多くの時間を割くことができます。
本章では実用的観点から、整理データと
tidyr
パッケージにあるツールとを紹介します。基盤と
なる理論をより深く学
ぶには、「Journal of Statistical Software」に掲載された整理データの原論文
（www.jstatsoft.org/v59/i10/paper）
＊1
が役に立ちます。
9.1.1
準備するもの
本章では、整っていないデータセットを整理するのに役立つ多数のツールを備えたパッケージで
ある
tidyr
に焦点を絞ります。
tidyr
は
tidyverse
の中核メンバーです。
library(tidyverse)
＊1 訳注：Hadley Wickham, Tidy Data,
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and much more.
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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.