Which code snippet correctly plots the relationship between two features using a scatter plot with Seaborn?
import seaborn as snssns.scatterplot(x='feature1', y='feature2', data=df)plt.title('Feature1 vs Feature2')plt.show()
import matplotlib.pyplot as pltplt.scatter(df['feature1'], df['feature2'])plt.title('Feature1 vs Feature2')plt.show()
import seaborn as snssns.distplot(df['feature1'], df['feature2'])plt.title('Feature1 vs Feature2')plt.show()