This project explores personal music listening behaviour through the lens of skipped songs, using my own Apple Music data from 2025. I wrote a custom program to analyse over 34,000 listening events, extracting statistics on when, why, and how I skip tracks.

The final animation is structured across three scenes: a year-long heatmap of daily skips annotated with personal events, a timeline visualising how far through each track I listened before skipping and why, and a closing section of curated statistics and standout songs. The visual style is deliberately minimalist, drawing on Edward Tufte's data-ink principles and the clarity of the NYC subway map, using circular dot grids, a restrained green palette, and AT Name Sans to keep the data front and centre.