August 2017
Intermediate to advanced
500 pages
12h 3m
Japanese
Content preview from PythonとJavaScriptではじめるデータビジュアライゼーション
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267
11.5 受賞者の年齢と没年齢
図
11-16
は、ロシアが
1950
年代に短期間台頭し、
1980
年代頃に減少しているなどの興味深い
傾向を示しています。■
受賞国を調べたので、次は受賞者個人に目を向けてみましょう。手元にあるデータを使って受賞
者に関する何か興味深いことを発見できるでしょうか。
11.5
受賞者の年齢と没年齢
全員の出生日と
559
人の死亡日はわかっているので、これらと受賞年を組み合わせると、多く
の個人データを取得することができます。受賞者の年齢分布を調べ、受賞者の没年齢に関する情報
を探ってみましょう。
11.5.1
受賞時の年齢
9
章では、受賞年から受賞者の出生日を引いてノーベル賞データセットに
'award_age'
列を追加
しました。
pandas
のヒストグラムプロットを使うと簡単にこの分布を評価できます。
df['award_age'].hist(bins=20)
図
11-15
米国以下の受賞数上位
16
か国の受賞数推移
268
11 章 pandas を使ったデータ探索
年
図
11-16
10
年ごとの国別受賞者数
図
11-17
受賞時年齢の分布
269
11.5 受賞者の年齢と没年齢
ここでは、年齢データを
20
個のビンに分割します。これは図
11-17
を作成し、
60
歳代前半
が受賞年齢の中心で、
100 ...
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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.