StatisticalGenerated from the public API

CalibrationChart

See the distribution, the agreement or the uncertainty in the values you supply.

@luc/ui/charts

What it shows

Compare predicted probabilities with observed frequencies to expose overconfidence or underconfidence.

Live preview

Predicted against observed frequency, with bin size drawn as area so a sparse bin cannot masquerade.

<CalibrationChart
  bins={[
    { predicted: 0.06, observed: 0.05, count: 140 },
    { predicted: 0.18, observed: 0.16, count: 96 },
    { predicted: 0.34, observed: 0.31, count: 62 },
    { predicted: 0.52, observed: 0.55, count: 48 },
    { predicted: 0.71, observed: 0.74, count: 31 },
    { predicted: 0.89, observed: 0.86, count: 19 },
  ]}
  xFormat={{ kind: "percent", decimals: 0 }}
  yFormat={{ kind: "percent", decimals: 0 }}
  height={320}
  ariaLabel="Reliability diagram"
/>

Controls

Height

320px

A chart measures its container, so it always needs a definite height.

State

The surface the chart is in — loading, empty and error are drawn by the component.

Accessible name

A drawing is not readable by a screen reader, so it needs a name that states what it shows.

The same fixture as the live preview above; the controls change how it is drawn, not what it measures.

Code

import { CalibrationChart } from "@luc/ui/charts";

<CalibrationChart
  bins={[
    { predicted: 0.06, observed: 0.05, count: 140 },
    { predicted: 0.18, observed: 0.16, count: 96 },
    { predicted: 0.34, observed: 0.31, count: 62 },
    { predicted: 0.52, observed: 0.55, count: 48 },
    { predicted: 0.71, observed: 0.74, count: 31 },
    { predicted: 0.89, observed: 0.86, count: 19 },
  ]}
  xFormat={{ kind: "percent", decimals: 0 }}
  yFormat={{ kind: "percent", decimals: 0 }}
  height={320}
  ariaLabel="Reliability diagram"
  state="ready"
/>

Not controllable here

series / rows — The numbers are the caller's; the fixture above is the example.

Copy for an AI agentA specification an agent can act on: the import, the setup, the chosen props, the data contract and the accessibility expectation.

Implement `CalibrationChart` from Luc UI. It is: See the distribution, the agreement or the uncertainty in the values you supply.

Import it with: import { CalibrationChart } from "@luc/ui/charts";
Requires: react ^19.0.0; react-dom ^19.0.0; react-hook-form ^7.0.0 (optional, for @luc/ui/forms/react-hook-form); tailwindcss ^4.0.0; node >= 22 (repository tools). Import the stylesheet once at the app root and wrap the tree in `LucProvider`. Both come from the package that publishes @luc.

Chosen configuration: `height={320}`, `state="ready"`, `ariaLabel="Reliability diagram"`.

Accessibility: keep the component's own semantics. Do not re-implement its ARIA wiring, do not add roles it does not declare, and make sure every interactive element is reachable and operable from the keyboard with a visible focus state.
Styling: use Luc UI design tokens and the component's own props. Do not restyle with raw colour literals and do not override the component's internal structure with page CSS.
Motion: respect `prefers-reduced-motion`. The component already does, so do not disable it.

Reproduce this state:
```tsx
<CalibrationChart
  bins={[
    { predicted: 0.06, observed: 0.05, count: 140 },
    { predicted: 0.18, observed: 0.16, count: 96 },
    { predicted: 0.34, observed: 0.31, count: 62 },
    { predicted: 0.52, observed: 0.55, count: 48 },
    { predicted: 0.71, observed: 0.74, count: 31 },
    { predicted: 0.89, observed: 0.86, count: 19 },
  ]}
  xFormat={{ kind: "percent", decimals: 0 }}
  yFormat={{ kind: "percent", decimals: 0 }}
  height={320}
  ariaLabel="Reliability diagram"
  state="ready"
/>
```

Usage

The values are prepared by the caller: this component draws the points it is given and computes no statistic of its own, so units, scaling and any summary have to be settled before the data reaches it.

It is drawn by the ECharts engine.

Worked examples with real data are on the family overview: Statistical

import { CalibrationChart } from "@luc/ui/charts";

<CalibrationChart
  bins={[
    { predicted: 0.06, observed: 0.05, count: 140 },
    { predicted: 0.18, observed: 0.16, count: 96 },
    { predicted: 0.34, observed: 0.31, count: 62 },
    { predicted: 0.52, observed: 0.55, count: 48 },
    { predicted: 0.71, observed: 0.74, count: 31 },
    { predicted: 0.89, observed: 0.86, count: 19 },
  ]}
  xFormat={{ kind: "percent", decimals: 0 }}
  yFormat={{ kind: "percent", decimals: 0 }}
  height={320}
  ariaLabel="Reliability diagram"
/>

Data contract

`bins` require `predicted`, `observed` and `count`; both probabilities use the same scale. The bin counts are supplied and drawn as area or weight.

Important configuration

Format both axes as probabilities, preserve bin order, and explain whether the observed frequency is weighted by `count`.

Guidelines

When not to use

Do not draw a smooth calibration claim from sparse bins without showing the bin counts; a line through six points can overstate certainty.

Configuration

Exported symbols
Export	Kind	Signature
`CalibrationChart`	13 documented props	`({ bins, xFormat, yFormat, title, description, state, height, className, ariaLabel, ariaDescription, onReady, onEvent, eager, }: CalibrationChartProps) => import("@types/react").JSX.Element`