Data Visualization For Fun and Profit*
How to improve your software (and your business) using a bit of math, some Python code, and R, the world's best free statistics software.
Users interacting with your software and services create a lot of hidden data: web server access logs, click trails, file revisions, incomplete orders and abandoned shopping carts, and the like. Whether you’re trying to speed your software up, improve your conversion rates, or just make some nice dataviz art to decorate your office, there are a few simple data analysis techniques that can help you out.
This session will show you how to use the Python and R languages to generate informative graphs and predictions from a variety of sources, including SQL databases, server log files, and the filesystem of your own computer.
Lennon Day-Reynolds works in revenue engineering at Twitter, which means you can ask him the question “how does Twitter make money?” and get a useful answer.
Prior to joining Twitter, he worked at Dark Horse Comics, Sun Microsystems, Reed College, and a handful of other shops building rich, dynamic web applications. In every case, he’s relied on open source software to create and manage websites for communities ranging in size from dozens to millions.