Post log transformation

file.py

import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns

# Generating a right-skewed data distribution
data = np.random.exponential(scale=2, size=1000)

# Performing log transformation
log_transformed_data = np.log(data + 1)  # Adding 1 to avoid log(0) issue

# Plotting both distributions for comparison
plt.figure(figsize=(12, 6))

# Original data plot
plt.subplot(1, 2, 1)
sns.histplot(data, kde=True)
plt.title('Original Right-Skewed Data')

# Log-transformed data plot
plt.subplot(1, 2, 2)
sns.histplot(log_transformed_data, kde=True, color='orange')
plt.title('Log-Transformed Data')

plt.tight_layout()
plt.show()