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Visualizing variable relationships

In the last exercise, you may have noticed that a longer marriage_duration is correlated with having more children, represented by the num_kids column. The correlation coefficient between the marriage_duration and num_kids variables is 0.45.

In this exercise, you'll create a scatter plot to visualize the relationship between these variables. pandas has been loaded as pd, matplotlib.pyplot has been loaded as plt, and Seaborn has been loaded as sns. The dataset name is divorce.

This exercise is part of the course

Exploratory Data Analysis in Python

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Exercise instructions

  • Create a scatterplot showing marriage_duration on the x-axis and num_kids on the y-axis.

Hands-on interactive exercise

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

# Create the scatterplot
____
plt.show()
Edit and Run Code