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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255
11.3 男女間の格差
ノーベル賞分野に最近追加され異論の多い経済学賞を無視すると、図
11-4
は男女の受賞者数の
格差が最も大きいのは物理学賞で、女性受賞者が
2
人しかいないことがわかります。この
2
人が
誰であるかを思い出してみましょう。
df[(df.category == 'Physics') & (df.gender == 'female')]\
[['name', 'country','year']]
Out:
name country year
267 Maria Goeppert-Mayer United States 1963
611 Marie Sk
ł
odowska-Curie Poland 1903
大半の人が
Marie Curie
を聞いたことがあり、実はノーベル賞を
2
度受賞した
4
人のうちの
1
人ですが、
Maria Goeppert-Mayer
を聞いたことがある人はあまりいないでしょう
†
。女性が科学の
道に進むことを促した功績を考えると、知られていないことは驚きです。可視化によって人々が
Maria Goeppert-Mayer
を知り、彼女について少しでも学べるようになることを望んでいます。
11.3.2
歴史的傾向
近年に女性受賞者の割合が増えているかどうかがわかったら面白いでしょう。これを可視化する
方法の
1
つは、時系列でのグループ化された棒グラフでしょう。図
11-3
の場合のように
unstack
を使いますが、年と性別の列を使って手軽にプロットを作成してみましょう。
† 知人に質問したり、あるいは講演の聴衆に聞いても、ノーベル物理学賞の ...
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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.