How do I compare data visualizations using Jupyter and Seaborn?

How do I compare data visualizations using Jupyter and Seaborn?

You can compare data visualizations in Jupyter using Seaborn by creating multiple plots side by side. Would you like a code example?

Yes, please provide a code example for comparing two datasets.

Sure! Here's a simple example:

import seaborn as sns
import matplotlib.pyplot as plt

# Load example datasets
iris = sns.load_dataset('iris')
flights = sns.load_dataset('flights')

# Create a figure with subplots
fig, axes = plt.subplots(1, 2, figsize=(12, 5))

# Plot for iris dataset
sns.scatterplot(data=iris, x='sepal_length', y='sepal_width', ax=axes[0])
axes[0].set_title('Iris Dataset')

# Plot for flights dataset
sns.heatmap(flights.pivot('month', 'year', 'passengers'), ax=axes[1])
axes[1].set_title('Flights Dataset')

plt.show()

What if I want to customize the plots further?

You can customize the plots by adding titles, changing colors, or adjusting the size. For example, you can use the palette parameter in Seaborn to change colors.