
Martin Dittus hat aus über 8.7 Millionen Last.fm Scrobble Daten von Arbeitskollegen eine Reihe von Heatmap Kalendern generiert, die veranschaulichen wann derjenige und wieviel Musik gehört hat, was dann eben jene spektakulären Muster zu Tage bringt.
The layout is comprised of two nested grids. Each year of data is arranged in a row and horizontally grouped into 12 blocks, one for each month. This is the outer grid. Months are organised by an inner grid, where data is arranged in seven columns for the days of week and 24 rows for the hours of day. Weekdays are aggregated so that e.g. all Mondays of a particular month end up in the same column.
At its most basic level this visualisation shows how frequently someone has been scrobbling over time, which in itself probably isn’t that interesting. But the particular layout reveals some patterns in everyone’s listening habits that aren’t obvious from just looking at a timeline. Lunch breaks, dinner, the commute — as long as it happens regularly and interferes with one’s music listening you should have no trouble finding it in the graph. In a few graphs you can even see seasonal effects!
Leider hat Martin derzeit noch kein Script veröffentlicht mit dem man seine eigenen Daten visualisieren lassen kann. Würde sich ja wirklich prima neben dieser Last.fm Wanddeko machen.
Last.fm Heatmap Calendars. Hier noch die komplette Galerie auf Flickr.