text_plain_output_1.png
from sklearn.datasets import load_boston

import matplotlib.pyplot as plt

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import seaborn as sns

from sklearn.datasets import load_boston
load_boston = load_boston()
x = load_boston.data
y = load_boston.target
data = pd.DataFrame(x, columns=load_boston.feature_names)
data['SalePrice'] = y

data.isnull().sum()

sns.pairplot(data, height=2.5)
plt.tight_layout()