2014 Life & Music Review

Exploring the connection between music and memories through interactive data visualization.


ABOUT THE PROJECT

The connection between life and music is ubiquitous. But, we rarely think about it with intention. With this project I began to consciously explore how life and music fit together.

Inspired by the work of Nicholas Felton, this interactive data visualization, created in Processing, shows my music listening stats over the course of 2014. Three views allow you to delve into weekly play count data into various degrees of depth; by total plays, by genre and by artist. Key life events from my personal and work calendars are mapped alongside listens on the top timeline.

This is just the beginning. In the future, I’d like to find more direct correlations between specific songs, artists and patterns, with particular memories.

INITIAL SHARPIE SKETCHES

Scanned from the Art Network Copier 1
Scanned from the Art Network Copier 4
Scanned from the Art Network Copier 2

DATA COLLECTION

At the end of each day, I run a script my friend Peter Taraba wrote for me. The script exports iTunes’ .xml file with all of my music library data synced from my various devices, and compiles a spreadsheet with previous library records to track how I listen to music over time.

TOOLS & LANGUAGE

This project was entirely coded by hand using Processing, a programming language and environment for designers and artists. The language is based off of Java.

TEAM

PETER TARABA—
Wrote Data Collection Script & Helped with Programming Humps

DATE

WINTER 2015

This project was completed as part of Tad Hirsch‘s Studio on Interactive Data Visualization at the University of Washington.