Breakout detection in R

Oct 29, 2014

Say you have time series data and you want to detect significant changes, but there’s also a lot of noise to sift through. Twitter released an open source R package, BreakoutDetection, to help with that.

Our main motivation behind creating the package has been to develop a technique to detect breakouts which are robust, from a statistical standpoint, in the presence of anomalies. The BreakoutDetection package can be used in wide variety of contexts. For example, detecting breakout in user engagement post an A/B test, detecting behavioral change, or for problems in econometrics, financial engineering, political and social sciences.

Was a quick installation and worked as expected for me. Twitter has released plenty of open source projects, but I think this is the first R package. Nice.

Favorites

How to Spot Visualization Lies

Many charts don’t tell the truth. This is a simple guide to spotting them.

Graphical perception – learn the fundamentals first

Before you dive into the advanced stuff – like just about everything in your life – you have to learn the fundamentals before you know when you can break the rules.

The Changing American Diet

See what we ate on an average day, for the past several decades.

Real Chart Rules to Follow

There are rules—usually for specific chart types meant to be read in a specific way—that you shouldn’t break. When they are, everyone loses. This is that small handful.