What are some examples of using Seaborn for data visualization?

What are some examples of using Seaborn for data visualization?

Seaborn is a powerful Python visualization library based on Matplotlib. It provides a high-level interface for drawing attractive statistical graphics. Would you like to see examples of specific types of plots?

Yes, can you show me examples of scatter plots and heatmaps?

Sure! For scatter plots, you can use sns.scatterplot() to visualize the relationship between two variables. For heatmaps, sns.heatmap() is great for displaying matrix-like data. Would you like code snippets for these?

Yes, please provide the code snippets!

Here’s a simple scatter plot example:

import seaborn as sns
import matplotlib.pyplot as plt

# Load dataset
iris = sns.load_dataset('iris')

# Create scatter plot
sns.scatterplot(data=iris, x='sepal_length', y='sepal_width')
plt.show()

And for a heatmap:

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