how concentrated is the sampling?
lorenz · zipf · hover
The Long Tail
cumulative share of plays vs share of records
A few signature samples, or a deep pool? Lorenz + Gini measure the inequality; Zipf shows the power-law tail. Hover to read; click to dig in.
Sampling is steeply unequal: a small core of records carries most of the plays while a long tail is touched once or twice. A textbook power law.
Source63 archived shows · 2023–2025 · fan-curated setlist + sampling data
ReadingLorenz curve: the gap below the diagonal is the inequality (Gini, 0 = even → 1 = one record holds everything). Zipf: rank vs frequency on log–log; a straight line = power-law tail.
the roll call
switch the metric
Most Swirled
the sample artists Pretty Lights reaches for most · colour = a second metric
The artists PL reaches for most. Bar length is the metric you pick; colour carries a different one (rank by plays, colour by reach), so length and hue never restate each other. Click a name.
Volume and versatility come apart: some artists rack up plays through one or two staples, others spread thin across many tracks. Colour reveals which.
Source63 archived shows · 2023–2025 · fan-curated setlist + sampling data
ReadingBar length = the chosen metric (plays / distinct records / PL tracks reached); colour = a different one on the perceptually-uniform ramp.