ボストン住宅価格データ

データの説明

table:captions

CRIM per capita crime rate by town

ZN proportion of residential land zoned for lots over 25,000 sq.ft.

INDUS proportion of non-retail business acres per town

CHAS Charles River dummy variable (= 1 if tract bounds river; 0 otherwise)

NOX nitric oxides concentration (parts per 10 million)

RM average number of rooms per dwelling

AGE proportion of owner-occupied units built prior to 1940

DIS weighted distances to five Boston employment centres

RAD index of accessibility to radial highways

TAX full-value property-tax rate per $10,000

PTRATIO pupil-teacher ratio by town

B 1000(Bk - 0.63)^2 where Bk is the proportion of blacks by town

MEDV Median value of owner-occupied homes in $1000's

code:sh

原因がわからん

例えば、一旦pandasに読み込ませてみる

code:script.py

from sklearn.datasets import load_boston

import pandas as pd

def boston_data():

data = load_boston()

df = pd.DataFrame(data.data, columns=data.feature_names)

return df