How can I create visualizations using Seaborn in Jupyter Notebook?

How can I create visualizations using Seaborn in Jupyter Notebook?

You can create visualizations in Jupyter Notebook using Seaborn by first importing the library and your dataset. Would you like a code example?

Yes, please provide a code example for a simple scatter plot.

Sure! Here's a simple 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.title('Iris Sepal Length vs Width')
plt.show()

What if I want to customize the colors of the points?

You can customize the colors by using the hue parameter. For example:

sns.scatterplot(data=iris, x='sepal_length', y='sepal_width', hue='species')
``` This will color the points based on the species.

Can I save the plot as an image file?

Yes! You can save the plot using plt.savefig('filename.png') before plt.show(). Would you like to know more about saving options?