回答編集履歴
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test
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```python
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import pandas as pd
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from pprint import pprint
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df = pd.read_csv("adult.data", header=None, delimiter=r"\s+", )
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df.columns = ['age', 'workclass', 'fnlwgt', 'education', 'education-num',
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'marital-status', 'occupation', 'relationship', 'race',
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'sex', 'capital-gain', 'capital-loss', 'hours-per-week',
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'native-country', 'income_class']
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df["income_class"] = df["income_class"].map({"<=50K": 0, ">50K": 1})
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pprint(df["income_class"].head(10))
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"""
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0 0
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Name: income_class, dtype: int64
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"""
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```
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[Analysis of the Adult data set from UCI Machine Learning Repository](http://blog.pangyanhan.com/posts/2017-02-15-analysis-of-the-adult-data-set-from-uci-machine-learning-repository.ipynb.html)
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