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Visualizing multiple variable relationships

Seaborn's .pairplot() is excellent for understanding the relationships between several or all variables in a dataset by aggregating pairwise scatter plots in one visual.

Your task is to use a pairplot to compare the relationship between marriage_duration and income_woman. pandas has been loaded as pd, matplotlib.pyplot has been loaded as plt, and Seaborn has been loaded as sns.

This exercise is part of the course

Exploratory Data Analysis in Python

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Exercise instructions

  • Create a pairplot to visualize the relationships between income_woman and marriage_duration in the divorce DataFrame.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Create a pairplot for income_woman and marriage_duration
sns.___(data=___, vars=[___ , ___])
plt.show()
Edit and Run Code