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Data

Charts

Chart and Sparkline use fixed series slots and keep source data accessible outside the SVG.

Designing chart views

Choose the smallest visualization that explains the relationship, then keep its meaning stable in every state.

Choose Chart or Sparkline

Use Chart when readers need axes, comparison between series, or exact source values. Use Sparkline when a compact trend supports an already labeled metric.

Compose metrics and dashboards

Pair a Sparkline with one KPI. Use Chart for the shared analytical view, then place filters and summaries outside the plotting area.

Keep series meaning stable

Keep each series label, order, and semantic color consistent across loading, empty, filtered, and comparison states.

Show missing values as gaps

Treat missing observations as gaps. Do not turn them into zeroes or connect them with a line that implies measured data.

Preserve accessible source data

Give the visualization a clear accessible name and keep the source values available as text or a data table. Color is supporting information, not the only label.