Make your own detailed tweet maps

Posted to Maps  |  Tags: , ,  |  Nathan Yau

Eric Fischer, known around these parts for his detailed dot maps, describes his process along with a code release.

I’ve been tracking geotagged tweets from Twitter’s public API for the last three and a half years. There are about 10 million public geotagged tweets every day, which is about 120 per second, up from about 3 million a day when I first started watching. The accumulated history adds up to nearly three terabytes of compressed JSON and is growing by four gigabytes a day. And here is what those 6,341,973,478 tweets look like on a map, at any scale you want.

I’ve open sourced the tools I used to manipulate the data and did all the design work in Mapbox Studio. Here’s how you can make one like it yourself.

Three main steps (not including data collection): filter out noise and duplicates, generate map tiles, and style to your liking.


Life expectancy changes

The data goes back to 1960 and up to the most current estimates for 2009. Each line represents a country.

Causes of Death

There are many ways to die. Cancer. Infection. Mental. External. This is how different groups of people died over the past 10 years, visualized by age.

One Dataset, Visualized 25 Ways

“Let the data speak” they say. But what happens when the data rambles on and on?

The Best Data Visualization Projects of 2011

I almost didn’t make a best-of list this year, but …