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.