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
Exercise instructions
- Create a pairplot to visualize the relationships between
income_womanandmarriage_durationin thedivorceDataFrame.
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()