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.
Bu egzersiz
Exploratory Data Analysis in Python
kursunun bir parçasıdırEgzersiz talimatları
- Create a pairplot to visualize the relationships between
income_womanandmarriage_durationin thedivorceDataFrame.
Uygulamalı interaktif egzersiz
Bu örnek kodu tamamlayarak bu egzersizi bitirin.
# Create a pairplot for income_woman and marriage_duration
sns.___(data=___, vars=[___ , ___])
plt.show()