text_plain_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sns

df = pd.read_csv('../input/housedata/output.csv')

corr = df.corr()
plt.figure(figsize=(15, 10))
sns.heatmap(corr, vmax=0.8, annot=True, fmt='.2f')
plt.show()