Therefore, if Zipf's Law holds, after sorting the words descending on frequency, word frequency decreases in an approximately linear fashion under a log-log scale. Now, please make such a log-log plot by plotting the rank versus frequency *Hint: Make use of the sorted dictionary you just created.* Use a scatter plot where the x-axis is the *log(rank)*, and y-axis is *log(frequency)*. You should get this information from `word_counts`; for example, you can take the individual word counts and sort them. dict methods `.items()` and/or `values()` may be useful. (Note that it doesn't really matter whether ranks start at 1 or 0 in terms of how the plot comes out.) You can check your results by comparing your plots to ones on Wikipedia; they should look qualitatively similar. *Please remember to label the meaning of the x-axis and y-axis.*

import math

import operator

x = []

y = []

X_LABEL = "log(rank)"

Y_LABEL = "log(frequency)"

# Add your code here

# You should fill the x and y arrays.

# Running this cell should produce your plot below.

plt.scatter(x, y)

plt.xlabel(X_LABEL)

plt.ylabel(Y_LABEL)