print("this mission cannot be run locally as the data used is loaded \"behind the scenes\" and I really don't have access to it")




# Let's plot the mean and median side-by-side in a negatively skewed distribution.
# Unfortunately, arrays don't have a nice median method, so we have to use a numpy function to compute it.
import numpy
import matplotlib.pyplot as plt

# Plot the histogram
plt.hist(test_scores_negative)
# Compute the median
median = numpy.median(test_scores_negative)

# Plot the median in green (the color argument of "g" means green)
plt.axvline(median, color="g")

# Plot the mean in red
plt.axvline(test_scores_negative.mean(), color="r")

# Notice how the median is further to the right than the mean.
# It's less sensitive to outliers, and isn't pulled to the left.
plt.show()