July 2018
Intermediate to advanced
596 pages
13h 35m
Japanese
Content preview from Pythonによるデータ分析入門 第2版 ―NumPy、pandasを使ったデータ処理
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14.5
2012
年度連邦選挙委員会データベース
479
#
シリーズオブジェクト全体にマッピング
In [193]: fec['party'] = fec.cand_nm.map(parties)
In [194]: fec['party'].value_counts()
Out[194]:
Democrat 593746
Republican 407985
Name: party, dtype: int64
ここでデータの下準備をもう少し進めておきます。まずこのデータには、寄付金額に正の値と負の値
が混在しています。負の寄付金額は返金を示します。
In [195]: (fec.contb_receipt_amt > 0).value_counts()
Out[195]:
True 991475
False 10256
Name: contb_receipt_amt, dtype: int
64
今回は話を簡単にするため、負の寄付金額をデータセットから除外します。
In [196]: fec = fec[fec.contb_receipt_amt > 0]
次に、今回の選挙で大勢を占めていたのは
Barak Obama
と
Mitt Romney
の二氏でしたので、この二
人に対するサブセットを作成します。
In [197]: fec_mrbo = fec[fec.cand_nm.isin(['Obama, Barack', 'Romney, Mitt'])]
14.5.1
職業別・雇用者別の寄付の分析
よくある分析の一例と
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