America Didn’t Make the World Cup. So Which World Cup Country Is the Most American?
The World Cup is typically a time for newsrooms to wonder, “How can we get Americans interested in this event that we can actually plan for?”
For Gabriel Gianordoli, Jess Kuronen, and I, we figured people would want to know how other countries compare based on several metrics that really define american life:
- Geographic size
- Press freedom
- McDonald’s locations per capita
- Military spending
- Oil production
- etc etc
This project was a fun to code. It’s single page app so it had a router to direct users to different matches. Readers would be directed to the most recent match if thy arrived without a URL parameter. Unfortunately our analytics services equates unique URLs as unique projects, so we ditched that in favor of query parameters.
The Morningstar Mirage
Morningstar has everyone convinced they can predict the future, but their ratings are about reliable as a magic 8 ball. With Jessica Kuronen, we gave them a gold star — or two — for their best efforts. Also we collaborated with Joel Eastwood to make a bunch of data visualization to prove the point.
Map Layers, map players!
WSJ cartographer Renee Rigdon and I were feeling that AI2HTML wasn’t conducive for scrolly-telling, so I built a pared-down version that uses SVGs instead. Now we have a little utility that lets us use SVGs without having the text scale with the rest of the composition. With SVGs, it’s dead simple to turn on/off layers based on scroll events.
One successful usecase of th technogloy has been showing geo-political changes over time in a fixed area. You can see some demonstrations of this setup in a couple of projects:
Hopefully open sourcing this solution soon!