import seaborn as sns
import numpy as np

# Generate random correlation data
np.random.seed(42)
data = np.random.rand(10, 10)
corr = np.corrcoef(data)

# Create a heatmap
sns.heatmap(corr, annot=True, cmap='coolwarm')

# Add title
plt.title('Heatmap of the Data and the Correlation')

# Show the plot
plt.show()

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