Here we can expand a bit. 

We wrote a simple function to plot the frequency of the words against the rank of the words in the frequency table. 
[Example table with some words, frequency and rank for English and another language]
For these plots we used a log-log scale. A straight line on a log-log plot implies that the quantities on the two axis are related trough a power law. Thus, if our data would fit straight line perfectly, that would mean that the frequency of a word occurring is exactly proportional to a power of the rank of that word in the frequency table. This is the content of Zipf's law, but ofcource such laws are never exact. 
For English however it works quite well. [Graph]

One thing we can compare amonst languages is how well this plot follows a straight line. Also the slope of the line contains interesting information. It tells what kind of power law we are dealing with exactly. 
A power law has the shape
[Can I use latex formula?]

Here I can explain slope of line = exponential in power law 
etc
etc