Algorithm-generated song, based on income data

Posted to Data Art  |  Tags: ,  |  Nathan Yau

In the first song of his music experiment Data-Driven DJ, visual artist Brian Foo used median household income data to create a song that represents a ride on a New York subway.

The goal of this song is to emulate a ride on the New York City Subway’s 2 Train through three boroughs: Brooklyn, Manhattan, and the Bronx. At any given time, the quantity and dynamics of the song’s instruments correspond to the median household income of that area. For example, as you pass through a wealthier area such as the Financial District, the instruments you hear in the song will increase in quantity, volume, and force. Stylistically, I want the song to exhibit the energy and orderly chaos of the NYC subway system itself.

Foo plans one track per month for the next year.

Follow the project.

Favorites

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.

Famous Movie Quotes as Charts

In celebration of their 100-year anniversary, the American Film Institute selected the 100 most memorable quotes from American cinema, and …

Interactive: When Do Americans Leave For Work?

We don’t all start our work days at the same time, despite what morning rush hour might have you think.

Life expectancy changes

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