Categorical data in scatter plots

In the video, we explored how men's education and age at marriage related to other variables in our dataset, the divorce DataFrame. Now, you'll take a look at how women's education and age at marriage relate to other variables!

Your task is to create a scatter plot of each woman's age and income, layering in the categorical variable of education level for additional context.

The divorce DataFrame has been loaded for you, and woman_age_marriage has already been defined as a column representing an estimate of the woman's age at the time of marriage. 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 scatter plot that shows woman_age_marriage on the x-axis and income_woman on the y-axis; each data point should be colored based on the woman's level of education, represented by education_woman.

Hands-on interactive exercise

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

# Create the scatter plot
____
plt.show()

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