Outsider Data Science

Putting what's in there, out there. With R.

Live Fast, Die Young, Stay Pretty?

Analyzing deaths of rock musicians Live fast, die young, stay pretty? That’s the stereotype for rockers, or it was. We only need to look at Keith Richards, over 70 and going strong, to find a major counterexample. Do rockers die young? What do they die of? How does that compare to the broader population (in the U.S., anyway). It turns out there are some suprising answers to those questions. Along the way we’ll learn something about web scraping, html parsing and some ggplot2 tricks.

Plumbing the Depths of My Soul (in Facebook)

First post! Let’s start out nice and easy. No big data machine learning or heavy stats. This post will merely explore the depths of my soul through a meta-analysis of every one of my Facebook posts. Meta-navel gazing, if you will. Perhaps you are not all that interested in the plumbing the depths of my soul. Still, you may be interested in seeing how you can do an analyis of your own Facebook life in the comfort of your own home.