On Drum Corps, Air Quality, and Diesel Engines

The last two seasons or so of drum corps have been both a renaissance and a reckoning. Thanks to magnificent reporting by Tricia Nadolny1 and the Philadelphia Enquirer, the problems of sexual abuse, poor hiring practices, and a general lack of concern for member safety have been in the spotlight, and I believe our activity … Continue reading On Drum Corps, Air Quality, and Diesel Engines →

Using Data to Visualize Connections Between Composers

Introduction Being able to program is fun because it allows me to make cool stuff regardless of whether it's useful to the real world or should even exist at all. In that vein, I decided to merge my love of programming, data, and classical music to make an app that visualizes the empirical connections between … Continue reading Using Data to Visualize Connections Between Composers →

Introducing sexp: A package connecting R and Go

Introduction I work with data every day. Whether it's for my job at EPA or my various hobby projects, I have a text editor and command line open just about every day on my computer. Importantly, I work with large amounts of data. My primary research project at EPA was based on a dataset with … Continue reading Introducing sexp: A package connecting R and Go →

Forecasting DCI Scores Part II: Introducing the 2018 Model

Welcome to my DCI Modeling Series - a series of an indeterminate number of posts I’m doing on forecasting DCI scores. This all started as an educational endeavor for me back in 2016, so I’ve decided to share my experience and methodologies as I work through developing the model. Everything is open source and available … Continue reading Forecasting DCI Scores Part II: Introducing the 2018 Model →

Forecasting DCI Scores Part I: How Not to Forecast DCI Scores