# Paperchart Small Multiples

> Render a grid of identical-shape sparklines, one per subject, for scanning trends across many subjects at once. Use when the reader should compare the shape of a time series across nine to twelve subjects and individual panels do not need axis ticks. Ideal for adoption curves, coverage by occupation, or per-region metrics.

- Skill: `shuakami/paperchart-small-multiples` (Agent Skill)
- Install (CLI): `npx skillmds@latest add shuakami/paperchart-small-multiples`
- Raw SKILL.md: https://api.skillmd.com/api/skills/shuakami/paperchart-small-multiples/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- License: MIT
- Author: shuakami (https://skillmd.com/u/shuakami)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/shuakami/paperchart-small-multiples

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# paperchart — small multiples

A grid of panels (default 3 columns). Every panel has the same shape, the same y-range, the same x-range. Labels sit at the top of each panel; the final value is printed at the top-right. Exactly one panel uses the accent.

## When to use

- Trend comparisons across six to twelve subjects.
- When individual panels do not need axes — the reader scans the overall shape, not exact values.
- Prefer over `line` when you have more than four series and overplotting would hurt readability.

## Input shape

```json
{
  "data": {
    "xLabels": ["'20", "'21", "'22", "'23", "'24", "'25", "'26"],
    "unit": "%",
    "panels": [
      { "label": "computer programmers", "caption": "coverage trend", "values": [6,10,22,34,55,70,75], "accent": true },
      { "label": "customer service",     "values": [4,8,18,28,44,58,62] }
    ]
  }
}
```

## Visual rules

- Shared y-axis across all panels so shapes are directly comparable.
- First and last x labels only; nothing in between.
- Final value printed top-right, colored by the series.
- Exactly one panel with `accent: true`.