August 2015
Intermediate to advanced
272 pages
5h 46m
Japanese
Content preview from Think Stats 第2版 ―プログラマのための統計入門
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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.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.
v
はじめに
本書は、探索的データ解析の実際的なツールを紹介するだけでなく、使えるように
するためのものです。構成は、私がデータセットに取り掛かるときに使う次のような
プロセスに基づいています。
•
インポートとクリーニング：データがどのようなフォーマットになっていよ
うと、データを読み込み、クリーニングし、整形して、さらにこれらのプロ
セスで本来のデータが不用意に改変されていないかチェックするのには、そ
れなりの時間と労力とがかかる。
•
単一変数での探索：通常は一時に
1
つの変数を調べることから始める。変数
が何を意味するのかを見つけ出し、値の分布を眺め、適切な要約統計量を選
ぶ。
•
ペアワイズ探索：変数間の関係がどうなっているのか見極めるために、表と
散布図を調べ、相関と線形適合を計算する。
•
多変量解析：変数間に関係が見られるときには、重回帰を用いて制御変数を
追加し、より複雑な関係がないかどうか調べる。
•
推定と仮説検定：統計的な結果を報告するときには、次の
3
つの質問に答え
ることが重要。効果はどれほど大きいのか、同じ測定を繰り返し行うとすれ
ば、どの程度の変動を予期すべきか、観察された効果が偶然によるものだと
いう可能性はあるのか、である。
vi
はじめに
•
可視化：探索において、ありうる関係や効果を見つけるためには可視化が重 ...
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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.