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
.
Este exercício faz parte do curso
Anomaly Detection in Python
Exercício interativo prático
Experimente este exercício completando este código de exemplo.
# Create a boxplot of prices
plt.____(____)
plt.show()