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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第
Ⅰ
部
探索
Ⅰ部の目的は、データ探索の基本ツールにできるだけ早く慣れることです。データ探索は、データ
を調べて、迅速に仮説を立て、迅速に検定し、何度も何度もこれを繰り返します。後でさらに深い
ところを探索できるように、できるだけ多くの有望な手がかりを集めることがデータ探索の目的とな
ります。
理解
プログラム
インポート 整理 変換
モデル
可視化
コミュニケーション
Ⅰ部では、すぐに成果の出る有用なツールを学びます。
●
可視化は、効果が明らかなので、Rプログラミングを開始するのに好都合な分野である。データ
を理解するのに役立つきれいで情報に富んだプロットが作成できる。1章では可視化に取り組み、
ggplot2
の基本構造とデータからプロットする強力な技法を学ぶ。
●
一般的に可視化だけでは十分でないので、3章では、重要な変数を選び、重要な観測をフィルタ
し、新たな変数を作り、要約を計算する機能を学ぶ。
●
最後に、5章で可視化と変換とを組み合わせ、好奇心と猜疑心とを満たすような、データについ
ての興味深い質問を投げかけ答える。
モデリングは探索プロセスで重要な部分ですが、この時点では、効果的に学習し適用するスキル
がまだ十分ではないと考えられることから、データラングリングやプログラミングをするツール類を
2
第Ⅰ部 探索 ...
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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.