text_plain_output_1.png
import pandas as pd

import seaborn as sns

hrp = pd.read_csv('/kaggle/input/house-rent-prediction-dataset/House_Rent_Dataset.csv')

hrp.dtypes

hrp.shape

hrp.isna()

hrp.isna().sum()

hrp.corr()

g = sns.pairplot(hrp, kind='reg', diag_kws={'color': 'red'})
g.fig.suptitle('Correlation of House rent prediction Dataset', y=1.08)
plt.show()