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
Exercise instructions
- Create a scatterplot showing
marriage_durationon the x-axis andnum_kidson the y-axis.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create the scatterplot
____
plt.show()