Histograms for outlier detection
A histogram can be a compelling visual for finding outliers. They can become apparent when an appropriate number of bins is chosen for the histogram. Recall that the square root of the number of observations can be used as a rule of thumb for setting the number of bins. Usually, the bins with the lowest heights will contain outliers.
In this exercise, you'll plot the histogram of prices from the previous exercise. numpy and matplotlib.pyplot are available under their standard aliases.
Este exercício faz parte do curso
Anomaly Detection in Python
Instruções do exercício
- Find the square root of the length of
pricesand store it asn_bins. - Cast
n_binsto an integer. - Create a histogram of
prices, setting the number of bins ton_bins.
Exercício interativo prático
Experimente este exercício completando este código de exemplo.
# Find the square root of the length of prices
n_bins = ____
# Cast to an integer
n_bins = ____(____)
plt.figure(figsize=(8, 4))
# Create a histogram
plt.____(____, ____=____, color='red')
plt.show()