text: # Import packages
  import codecademylib
  import numpy as np
  import pandas as pd
  
  # Import matplotlib pyplot
  from matplotlib import pyplot as plt
  
  # Read in transactions data
  mu, sigma = 800, 100 # mean and standard deviation
  burrito_calories = np.random.normal(mu, sigma, 320)
  
  # Save transaction times to a separate numpy array
  plt.hist(burrito_calories, range=(250, 1250), bins=100,  edgecolor='black')
  plt.title("Calories in a Burrito Bowl", fontsize = 24)
  plt.xlabel("Calories", fontsize=18)
  plt.ylabel("Count", fontsize=18)
  
  plt.show()