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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10
1 章 探索的データ解析
したがって、
nan
の計算はちゃんとしていますし、
pandas
のほとんどの関数は
nan
を適切に処理します。欠損値はまた別の問題になります。
CleanFemPreg
の最終行では、ポンドとオンスを合わせて、ポンドでの単一量にし
た新カラム
totalwgt_lb
を作っています。
重要な注意：
DataFrame
に新たなカラムを追加するには、次のような辞書構文を
使わなければなりません。
# CORRECT
df['totalwgt_lb'] = df.birthwgt_lb + df.birthwgt_oz / 16.0
次のようなドット表記を使ってはいけません。
# WRONG!
df.totalwgt_lb = df.birthwgt_lb + df.birthwgt_oz / 16.0
ドット表記だと、
DataFrame
オブジェクトに属性を追加しますが、この属性は、
新たなカラムとしては扱われません。
1.7
検証
データが、あるソフトウェア環境から、別のソフトウェア環境にインポートされる
とき、エラーが紛れ込むことがあります。新たなデータセットに慣れてきたときにも
データを不正確に解釈したり、誤解してしまう危険性があります。データを確認・検
証することで、あとの処理にかかる時間やエラーをなくすことができます。
データ検証の
1
つの方法は、基本統計量を計算して、公表されている結果と突き合
わせることです。例えば、
NSFG
コードブックには、各変数を要約した表があります。
次の表は、妊娠の結果を符号化した ...
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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.