Boxplots for outlier detection
In this exercise, you will get a feel of what the US Airbnb Listings prices data looks like using boxplots. This will enable you to assess the range of the distribution where inliers lie. You will also get a sense of custom versus default parameters for setting whisker lengths to classify outliers.
matplotlib.pyplot has been loaded as plt and the data is available as prices.
This exercise is part of the course
Anomaly Detection in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create a boxplot of prices
plt.____(____)
plt.show()