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.

Deze oefening maakt deel uit van de cursus

Exploratory Data Analysis in Python

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Oefeninstructies

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

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

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

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