This example demonstrates a cubism-style visualization for time-series data, using a stacked area chart-like technique where five random walks (via `context.metric`) are rendered as horizons with negative and positive extents. The code leverages the `cubism` API from Square and D3.js (v3) to create interactive, zoomable panes with axes, a rule, and update timestamps. Data is generated procedurally with `Math.random()`, while the `context` handles appending values and shifting a secondary metric.