# XWUIChartQQPlot

`XWUIChartQQPlot` is a thin wrapper around `XWUIChart` that fixes the chart `type` to `'qQPlot'`, producing a quantile-quantile diagnostic that plots one series' quantiles against another's to judge how closely they follow the same distribution. Supply a `{ series }` data object and use it when you need to check normality or compare two samples - points hugging the diagonal mean the distributions agree, departures flag skew or heavy tails. The `block` (1-4, clamped) and `size` (`sm` / `md` / `lg`) config control variant and dimensions.

## Basic Usage

This example passes two monthly series (Series A and Series B, Jan-Jun) at `md` size so their quantiles can be compared on the Q-Q diagnostic.

```example
file: examples/BasicUsage.ts
html: examples/BasicUsage.html
title: Basic Usage
description: Two monthly series (Series A and Series B, Jan-Jun) compared on a quantile-quantile plot at medium size.
```

## Residual Normality Check

A regression's residual quantiles plotted against theoretical normal quantiles, with hollow markers and a zero-mean reference line to check how closely the errors follow a normal distribution.

```example
file: examples/ResidualNormalityCheck.ts
html: examples/ResidualNormalityCheck.html
title: Residual Normality Check
description: Residual vs theoretical quantiles with hollow points, grid, and a y=0 mean reference line.
```

## Two-Cohort Latency QQ

Request-latency quantiles of a baseline and a canary cohort overlaid on a shared baseline, surfacing a latency regression that grows at the upper quantiles.

```example
file: examples/TwoCohortLatencyQQ.ts
html: examples/TwoCohortLatencyQQ.html
title: Two-Cohort Latency QQ
description: Baseline vs canary latency quantiles (ms), large and interactive with a legend.
```

```api
```