November 2020
Intermediate to advanced
396 pages
8h 34m
Japanese
book
データサイエンスのための統計学入門 第2版 ―予測、分類、統計モデリング、統計的機械学習とR/Pythonプログラミング
by Peter Bruce, Andrew Bruce, Peter Gedeck, 黒川 利明, 大橋 真也
Content preview from データサイエンスのための統計学入門 第2版 ―予測、分類、統計モデリング、統計的機械学習とR/Pythonプログラミング
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1.9
まとめ
■
47
1.8.5
さらに学ぶために
●
『
Modern Data Science with R
』［
Baumer-2017
］ に は 、「
a grammar for graphics
」（ グ
ラフィックス文法、
ggplot
の
gg
はこの頭文字）に関する優れた記述がある。
●
『
ggplot2: Elegant Graphics for Data Analysis
』［
Wickham-2009
］は、
ggplot2
の
作成者による優れた情報源だ。
●
Josef Fruehwald
が
ggplot2
の
Web
チュートリアルを提供している（
https://www.
ling.upenn.edu/~joseff/avml2012/
）。
1.9
まとめ
テューキーが開拓した探索的データ分析（
EDA
）によって、データサイエンスという
分野の基礎が統計学で確立した。
EDA
においては、データに基づいたどのようなプロ
ジェクトでも、最初の最も重要なステップはデータを調べることだ。データの要約や可
視化を通して、プロジェクトにおいて重要な直感と理解が得られる。
本章では、代表値や分散の推定のような簡単な指標から、多変量間の関係を探索す
る図1-12 のような高度な可視化まで広範囲の概念を取り上げた。オープンソースコミュ
ニティにより開発されている広範なツールや技法は、
R
や
Python
言語の豊かな表現性
と相まって、データの探索および分析手法を多数もたらした。探索的分析は、あらゆる
データ分析プロジェクトにおいて礎石とな ...
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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.