Data overload: Python to the rescue.

As a part of the skills development aspect of the course I am currently working on I have downloaded a spreadsheet (or data frame) with more than 2 million rows of data. Thankfully each row has only 2 columns, but that's still a lot of data. The course has shown how to extract meaningful information from the data, and to do that in a matter of a few seconds. So now I'm wondering what fascinating new findings will come from analysing the data?