This is the homepage to the interactive portion of my website! From here, you can get to various project I’ve worked on with some kind of interactive component - almost all of them apps using R’s shiny package. Below is a somewhat ordered list of all my projects right now.
Drum Corona International
This is my project simulating the 2020 DCI season (as there isn’t a real 2020 DCI season) using shows from the past!
2019 DCI Forecast
This is my forecast for the latest DCI season, based on data analysis of years dating back to 1995. 2019 was a banner year for the forecast model. The model, by the way, is open-source.
DCI Forecast History
This contains forecasts from a version of my DCI model all the way back to 1995. For older years, it contains a pared-down version of my forecast based on the more limited data I have available. More recent years have better, more detailed data and therefore I use my fully detailed forecast.
Rgo helps bridge the gap between R and Go by providing Go functions which feel more like R and, more importantly, providing a useful package which allows the passage of data between R and Go in memory. I use it for my own projects in a number of ways - it’s in action under the hood in both my Coperformance and Electoral College Reallocation projects.
This is a good use case and demonstration for Rgo, which is more “real world” than the demo. It visualizes the connections between composers as revealed by the New York Philharmonic’s program data on github. The more composers are on the same program, the stronger the connection. I’m sure there are insights about classical music programming to be pulled from this data, but I mostly like this project because it was fun to work on.