# XWUIChartJointDistribution

A joint-distribution chart variant backed by `XWUIChart` that shows how two variables co-vary, pairing their bivariate density or scatter so correlation and clustering are visible together. Provide named `series` of `{ x, y }` points and choose a `block` (1-4) and `size` preset.

## Basic Usage

Two named monthly series (Series A and Series B), each spanning Jan through Jun, supplied as the joint-distribution sample data.

```example
file: examples/BasicUsage.ts
html: examples/BasicUsage.html
title: Basic Usage
description: Two six-month series rendered as a joint distribution at the md preset.
```

## Height vs Weight

A bivariate scatter of adult height against weight, revealing their positive correlation.

```example
file: examples/HeightWeight.ts
html: examples/HeightWeight.html
title: Height vs Weight
description: Twenty adults plotted by height (cm) and weight (kg) as a joint distribution at the lg preset.
```

## Ad Spend vs Conversions

Per-campaign daily ad spend paired with conversions to expose the spend-response cloud.

```example
file: examples/AdSpendConversions.ts
html: examples/AdSpendConversions.html
title: Ad Spend vs Conversions
description: Eighteen campaigns plotted by daily ad spend (USD) against conversions.
```

```api
```