Using visualization to guess a distribution
You've been given a list called clerk_data which contains the time a post office clerk spends with customers (in minutes). Your task is to explore what probability distribution could be a good fit for this data. First, you'll graph the data to gain intuition for choosing candidate probability distributions. Then, you'll evaluate candidate distributions to see if your intuition is correct!
The following libraries have been imported for you: pandas as pd, numpy as np, matplotlib.pyplot as plt, and seaborn as sns.
This exercise is part of the course
Monte Carlo Simulations in Python
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Plot a histogram of clerk_data
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plt.show()