This visualization measures how unequally Spotify Global Top 200 streams are distributed across tracks, and how that inequality evolves over time.<\/p>

Lorenz curve<\/h2>
The blue curve<\/strong> plots cumulative stream share (y) against cumulative track share (x), with tracks sorted from least to most streamed. The green dashed diagonal<\/strong> is the line of perfect equality — what the chart would look like if every track had identical streams. The further the Lorenz curve bows below the diagonal, the more concentrated streams are at the top.<\/p>
The shaded area between the two lines is the Gini gap<\/strong> — the visual representation of inequality.<\/p>

Stat cards<\/h2>
The five cards update with the selected date and summarise the distribution at a glance:<\/p>

Gini coefficient<\/strong>: 0 = perfect equality, 1 = all streams on one track<\/li>
Top 1 \/ 5 \/ 10 \/ 20 tracks<\/strong>: share of total daily streams captured by that many tracks<\/li> <\/ul>
Gini over time<\/h2>
The line chart below tracks the Gini coefficient across all available dates. A rising Gini means streams are becoming more concentrated; a falling Gini means they are spreading more evenly. The amber cursor marks the date currently shown in the Lorenz curve above.<\/p>
Use the date slider<\/strong> to move between dates. The curve, annotation, and all five stat cards update together.<\/p>
Interpreting the Gini coefficient in this context<\/h2>
A high Gini (e.g. > 0.6) is typical for streaming charts — a small number of breakout tracks attract disproportionate attention while the long tail streams modestly. Tracking it over time reveals whether the chart is becoming more or less top-heavy, which can reflect seasonal effects, major album releases, or shifts in platform recommendation behaviour.<\/p>