2

 import pandas as pd

import seaborn as sns
import matplotlib.pyplot as plt
from sklearn.datasets import fetch_california_housing  
california_housing = fetch_california_housing()
df = pd.DataFrame(california_housing.data, columns=california_housing.feature_names)
df['target'] = california_housing.target  
correlation_matrix = df.corr()
plt.figure(figsize=(12, 8))
sns.heatmap(correlation_matrix, annot=True, cmap='coolwarm', fmt='.2f', cbar=True)
plt.title("Correlation Matrix Heatmap")
plt.show()
sns.pairplot(df, height=2.5, plot_kws={'alpha':0.7})
plt.suptitle("Pair Plot of California Housing Dataset", y=1.02)
plt.show()

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