The secret weapon wielded by the Enterprise Visuals team at the Wall Street Journal is collaboration. A lot of it. For our latest project, which dissects the rhyme schemes of the hit musical Hamilton, our team of designers, developers and data journalists worked together to create a new data visualization type that could capture the lyrical complexity of rhyming verse.

PourOver is an attempt to standardize an efficient and extensible model of client-side collection management, weakening reliance on server-side collection operations. Even on modern networks with beefy machines, the roundtrip to a backend is irredeemably slow for responsive UIs. Users aren’t encouraged to explore when every manipulation triggers a half-second pause. With PourOver, the server-trip bottleneck is gone because collection operations are done on the client. The hardest limitation becomes render speed, much simpler to improve upon than the latency of the internet.

The New York Times’ Erik Hinton breaks down a Fashion Week colorbar special feature with bonus fancy math.