FuelBand Fibers visualizes daily activities beautifully

Posted to Data Art  |  Tags: , ,  |  Nathan Yau

Leading up to a Nike women’s 10k run, design studio Variable made FuelBand Fibers, an artistic interpretation of a week of activity from seven individuals.

To celebrate effort of preparing for the run Nike has chosen 7 influential runners equipped with FuelBands. Up to the minute Nike Fuel data was then collected 24/7 and delivered to Variable to tranform into beautiful artworks. This is how Fibers were born. 7 digital fibers growing when the person is working out, one for each day of training, stylized uniquely for the given runner.

So each fiber represents a day, each essentially a timeline from bottom to top. Thickness represents activity, and colors represent times when a person led in the FuelBand community. The results: organic.

See more details on what the visuals show and how it was made on the project page.

Reminds me of Universal Everything, which also focused on individuals’ movements. [via Creative Applications]

Favorites

Top Brewery Road Trip, Routed Algorithmically

There are a lot of great craft breweries in the United States, but there is only so much time. This is the computed best way to get to the top rated breweries and how to maximize the beer tasting experience. Every journey begins with a single sip.

Graphical perception – learn the fundamentals first

Before you dive into the advanced stuff – like just about everything in your life – you have to learn the fundamentals before you know when you can break the rules.

10 Best Data Visualization Projects of 2015

These are my picks for the best of 2015. As usual, they could easily appear in a different order on a different day, and there are projects not on the list that were also excellent.

Think Like a Statistician – Without the Math

I call myself a statistician, because, well, I’m a statistics graduate student. However, the most important things I’ve learned are less formal, but have proven extremely useful when working/playing with data.