How can I use Seaborn with Jupyter for data visualization?
An example of an AI chatbot conversation about using Seaborn datasets in Jupyter notebooks.
How can I use Seaborn with Jupyter for data visualization?
You can use Seaborn in Jupyter by first installing it via pip, then importing it in your notebook.
What datasets are available in Seaborn?
Seaborn comes with several built-in datasets like 'tips', 'iris', and 'titanic'. You can load them using sns.load_dataset().
Can you show me an example of visualizing the 'tips' dataset?
Sure! You can create a scatter plot with:
import seaborn as sns
import matplotlib.pyplot as plt
tips = sns.load_dataset('tips')
sns.scatterplot(data=tips, x='total_bill', y='tip')
plt.show()
What other types of plots can I create with Seaborn?
You can create various plots like bar plots, box plots, violin plots, and heatmaps using Seaborn.
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