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Data Science LAB

[Python] ๋ฐ์ดํ„ฐ EDA๋ฅผ ํ•œ๋ฒˆ์— ํ•˜๋Š” ๋ฐฉ๋ฒ•(pandas profiling) ๋ณธ๋ฌธ

๐Ÿ›  Machine Learning/๋ฐ์ดํ„ฐ ์ „์ฒ˜๋ฆฌ

[Python] ๋ฐ์ดํ„ฐ EDA๋ฅผ ํ•œ๋ฒˆ์— ํ•˜๋Š” ๋ฐฉ๋ฒ•(pandas profiling)

ใ…… ใ…œ ใ…” ใ…‡ 2022. 4. 6. 19:56
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pandas - profiling์„ ์ด์šฉํ•˜๋ฉด EDA๋ฅผ ์ง์ ‘ํ•˜์ง€ ์•Š์•„๋„ ๋จ

 

1. pandas profiling ์„ค์น˜

>> pip install -U pandas-profiling

 

2. ๋ผ์ด๋ธŒ๋Ÿฌ๋ฆฌ ๋ถˆ๋Ÿฌ์˜ค๊ธฐ

import pandas_profiling

 

 

3. ์‹คํ–‰

import pandas as pd
from sklearn.datasets import load_iris
import pandas_profiling
from pandas_profiling import ProfileReport

iris = load_iris()
iris = pd.DataFrame(iris.data,columns=iris.feature_names)
iris['class'] = load_iris().target
iris['class'] = iris['class'].map({0:'Setosa',1:'Versicolour',2:'Virginica'})

ProfileReport(iris)
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