Drop them in as web components, or import per-chart into React, Vue, Svelte, Angular, or plain TypeScript. Themed in your own CSS, and able to describe themselves in plain language.
Pick a chart by the question you are asking. Every card is a component on real data: hover to feel the interaction, click to open its full spec.
Trends over time across one or many series. The dashed run is a gap in the data (detectGaps).
A forecast fan: history, a dashed forecast median, and nested confidence bands that widen with the horizon.
Part to whole over time: how each component's share of a stacked total shifts.
The relationship between two numeric variables; bubble size encodes a third.
Min to max bands per series: forecasts, confidence intervals, or observed ranges.
Stacked columns per period, linked by ribbons that trace each category over time.
Compare several entities across a shared set of axes at a glance.
Stacked vertical bars per category, with an explicit missing-data guard.
Two overlaid horizontal sub-bars per label: a based vs compared value.
Diverging bars from a centre line: population pyramids and tornado charts.
Cumulative horizontal segments per row with end-cap circles at each step.
Two values per label joined by a gap bar that emphasises the difference.
Hierarchical tiles sized by value; each splits into two parts (e.g. realized vs untapped). Falls back to a stack on narrow screens.
Slices sized by share of a whole; set innerRadiusRatio for a donut. Per-slice % labels and an optional legend.
Circles sized by value, pulled into a cluster by gravity; each can split into a realized core inside a lighter untapped ring.
Flows between nodes laid out in columns; each band's thickness is the flow value. Built on d3-sankey.
A Jet d'Eau: apex height is the value, the blooming plume is the uncertainty. Categorical x = snapshot/comparison, temporal x = trend.