visual data

mikehoffmans asked:

hi! been a loyal follower for a while now :) what sparked your love for charts/graphs/any visual representation of data?

Thank you for your support :)

There’s a pithy and rather fatuous answer that involves the Recession, which I’ve given in every interview we’ve had, but the more personal/honest answer is that Tumblr fostered my love for visual representations of data and ideas. So much can be said so quickly and this is the perfect medium for it. I like(d) sharing and engaging in conversation and this was turned out to be a beautiful and simple way to do so. The community reacted to it positively and I learned so much from the conversations that arose, that I continued down this road. My love is entirely dependent on other people engaging with what we put here. Without that, it’s a bunch of stupid numbers and images.


Another departure from pure science, but some interesting data visualization from a study published last week. Each dot is a single member of the House of Representatives (democrats = blue, republicans = red). The proximity and lines between dots indicates cooperation - voting the same way on legislation. The more they vote the same way, the thicker the connecting lines and the closer the dots.

Map of all vehicular collisions in Manhattan in 2014

Data source: NYC Open Data (

Source code:

Disclaimer: I made this graph for my own pleasure and for learning new plotting methods. Do not consider it a reliable source of information. Refer directly to the data source for more information regarding the data collection method.

Presenting Fantastical Fictive Beers, for when only a fictional brew will do.

Can you not get enough of that wonderful Duff? Want to crack a Girlie Girl with Al Bundy? Or maybe you need a Butterbeer to help you cope with the fact that a noseless wizard is always trying to kill you? Whatever your quaff, kick back and enjoy this scrupulously illustrated selection of 71 beers from some of the greatest movies, books, and TV shows ever.

Get it now.

Jill Hubley’s remarkable visualization of New York City’s tree species – a wonderful inversion of humanity’s long history of visualizing knowledge via tree diagrams.

Couple with Hermann Hesse on what trees teach us about belonging and the meaning of life and Eve Ensler on how trees bring us back to ourselves, then see the oldest living trees in the world

(via CityLab)


inspired by this, i decided to graph the notes from my moth post. i only got through about 27k notes before the window froze, so the graphs include 14k reblogs (i.e., excluding likes and replies). the gif is just the algorithm adjusting to the 14k data points, but it looked so cool i had to share.

mmm notesplosion.

i’ll probably try to graph a slightly less insane post so i can actually get back to the first notes. i think that’ll probably make for a cleaner graph, too. but for now, that gif is so damn soothing.

now i should be asleep.



Internet of Things project from Future Interfaces Group can turn old smartphones into smart sensors for various types of visual data gathering:

Zensors is sensing made easy. Simply ask Zensors a question about your home or business: “Does the dog bowl need to be refilled?” All you need is an unused smartphone or wifi camera, like a Dropcam. In seconds, you can create a live sensor feed. You create alerts, by email or text. Using our API, developers can build rich and responsive applications.

More Here