On May 3, 2017, I gave a version of this talk at 24 Hours of PASS. You can get the recording and slides notes on the event website.
On November 5, 2017, I recorded a full-length version of this talk, which you can find on my YouTube channel.
Click here to access the slides for this presentation.
The slides are licensed under Creative Commons Attribution-ShareAlike.
Click here to access demo code for this presentation.
The source code is licensed under the terms offered by the GPL.
If you are not familiar with Jupyter notebooks, I have a guide on how to install Jupyter on Windows. This will allow you to try the notebooks out on your own.
Here are links for the individual data sets used in this talk. Please note that the versions I have archived are for specific points in time, so the data format may change, and the data itself will likely have changed. For the actual data sets I use, check out the demo code above.
Benford's Law is one of the most interesting numeral analysis findings, given its wide-ranging and unexpected appearances in data sets.
Although I did not use most of the techniques in this section, I want to provide links for people interested in learning more.