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_woman
andmarriage_duration
in thedivorce
DataFrame.
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()