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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36
3 章 確率質量関数
thinkplot.Pmfs([first_pmf, other_pmf])
thinkplot.Show(xlabel='weeks',
axis=[27, 46, 0, 0.6])
PrePlot
には、
rows
と
cols
というオプション・パラメータがあり、複数の図を並
べることができます。この場合には、
2
つの図を横に並べます。左の図は、すでに見
た
thinkplot.Hist
を使った
Pmf
を示します。
PrePlot
の
2
番目の呼び出しは、色出力をリセットします。
SubPlot
が
2
番目の図（右
側）に切り替えて、
thinkplot.Pmf
を使って
Pmf
を図示します。
axis
オプションを使っ
て、
2
つの図が同じ線上にあるようにしました。これは、一般に、
2
つの図を比較す
るときに適しています。
3.3
その他の可視化
ヒストグラムと
PMF
は、データを探索してパターンや関係を同定しようと試みる
上で有用です。何が起こっているのかがわかれば、見つけたパターンをより明確に可
視化する方法を検討できるからです。
図
3-1
棒グラフとステップ関数とを使った第一子と第二子以降との妊娠期間の
PMF
週
第一子
その他
週
第一子
その他
37
37
3.3 その他の可視化
NSFG
のデータでは、最頻値の近辺の分布の差が一番大きいことが見てとれます。 ...
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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.