text_plain_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sns

data = pd.read_csv('../input/house-prices-advanced-regression-techniques/train.csv')

plt.figure(figsize=(10, 8))
sns.heatmap(data.corr(), cmap='RdBu')
plt.title('Correlations Between Variables', size=15)
plt.show()