Or, how to use data collected in one geography to characterize another overlapping but different geography. In my most recent example of this, I made a cleaner workflow using Mapshaper. I compiled some demographics data for the precincts results pages for The New York Times. The problem is that the…

The 2017 total solar eclipse over America was an event I won’t forget. In the months leading up to it, I worked on my most involved, farm-to-table graphic story to date: Utilizing 5,000 years of eclipse paths data to show every eclipse during a reader’s lifetime. …

Been a while, but I wrote another behind-the-scenes post over on the PostGraphics Tumblr on how we storyboarded our vice-presidential candidate picker graphics. (Hint: A lot of it was done on Snapchat). Read the full post here.

Wrote a short behind-the-scenes post over on the PostGraphics tumblr on how I used the Python Imaging Library to compile all the images used in a graphic I helped build on America’s tri-points. Check it out here.

Not really a visual thing (but keeping this stored in the back of my head for possible future visual projects), but recently I’ve been trying out the reverse play feature on my turntable, and they produce remarkable results on classical and ambient records. …

aw yeah, databending. This time, I tried editing photos in audio editors with Audacity. JPG >> TIFF >> RAW >> TIFF >> JPG. the results were spectacular. Making great use of colleague’s travel photos, we edited photos from cities around the world. Interesting patterns I found: fade in/fade out change the color balance of the photo, whereas reverb (as predicted) adds noise to the pixels. Audacity databending: What Paris looks like with an echo >>

Image mashing little baseball players onto giant fish and ducks.

European cities as miniature fakes with Photoshop.