🎯

shopify-polaris-viz

🎯Skill

from toilahuongg/shopify-agents-kit

VibeIndex|
What it does

Generates accessible, Shopify Admin-styled data visualizations using Polaris Viz library for React applications.

πŸ“¦

Part of

toilahuongg/shopify-agents-kit(35 items)

shopify-polaris-viz

Installation

npm installInstall npm package
npm install @shopify/polaris-viz
πŸ“– Extracted from docs: toilahuongg/shopify-agents-kit
5Installs
-
AddedFeb 4, 2026

Skill Details

SKILL.md

Guide for creating data visualizations in Shopify Apps using the Polaris Viz library. Use this skill when building charts, graphs, dashboards, or any data visualization components that need to integrate with the Shopify Admin aesthetic. Covers BarChart, LineChart, DonutChart, SparkLineChart, and theming.

Overview

# Shopify Polaris Viz

Polaris Viz is Shopify's data visualization component library for React. It provides accessible, themeable chart components that match the Shopify Admin visual style.

> Note: This library was archived in June 2025. While still functional, Shopify recommends reaching out to support for migration assistance if building new features.

Installation

```bash

npm install @shopify/polaris-viz

# Required peer dependencies

npm install @shopify/polaris @shopify/polaris-tokens

```

Setup

Wrap your application with PolarisVizProvider:

```jsx

import { PolarisVizProvider } from '@shopify/polaris-viz';

import '@shopify/polaris-viz/build/esm/styles.css';

function App() {

return (

{/ Your app /}

);

}

```

Core Design Principles

  1. One Question Per Chart: Each visualization should answer a single, specific question
  2. Accuracy First: Faithfully represent the original dataset
  3. Accessibility: Support screen readers, color-blind users, and multiple data formats
  4. Consistency: Use Polaris themes for visual harmony with Shopify Admin

Available Chart Components

| Component | Use Case | Max Data Points |

|-----------|----------|-----------------|

| BarChart | Comparing discrete categories | ~6 categories |

| SimpleBarChart | Simple horizontal bars | ~6 categories |

| LineChart | Trends over time | 30+ points |

| SparkLineChart | Compact inline trends | Any |

| DonutChart | Part-to-whole relationships | ~6 segments |

| StackedAreaChart | Cumulative trends | 30+ points |

| FunnelChart | Conversion funnels | ~6 stages |

Quick Examples

Bar Chart

```jsx

import { BarChart } from '@shopify/polaris-viz';

const data = [

{

name: 'Sales',

data: [

{ key: 'Monday', value: 150 },

{ key: 'Tuesday', value: 200 },

{ key: 'Wednesday', value: 175 },

],

},

];

```

Line Chart

```jsx

import { LineChart } from '@shopify/polaris-viz';

const data = [

{

name: 'Orders',

data: [

{ key: 'Jan', value: 100 },

{ key: 'Feb', value: 150 },

{ key: 'Mar', value: 200 },

],

},

];

```

Donut Chart

```jsx

import { DonutChart } from '@shopify/polaris-viz';

const data = [

{ name: 'Direct', data: [{ key: 'Direct', value: 200 }] },

{ name: 'Social', data: [{ key: 'Social', value: 150 }] },

{ name: 'Email', data: [{ key: 'Email', value: 100 }] },

];

```

Spark Line (Inline Trend)

```jsx

import { SparkLineChart } from '@shopify/polaris-viz';

const data = [

{

data: [

{ key: 0, value: 100 },

{ key: 1, value: 150 },

{ key: 2, value: 120 },

{ key: 3, value: 180 },

],

},

];

```

Data Structure

All charts use a consistent DataSeries format:

```typescript

interface DataPoint {

key: string | number; // X-axis value or category

value: number | null; // Y-axis value (null for gaps)

}

interface DataSeries {

name: string; // Series label

data: DataPoint[]; // Array of data points

color?: string; // Optional color override

isComparison?: boolean; // Mark as comparison data (renders grey)

}

```

Theming

Use the theme prop to switch between themes:

```jsx

// Use built-in themes

// Or define custom themes in provider

themes={{

MyBrand: {

chartContainer: { backgroundColor: '#f9f9f9' },

seriesColors: { upToEight: ['#5c6ac4', '#47c1bf'] },

},

}}

>

```

Color Guidelines

  • Single series: Use one consistent color
  • Comparison to past: Current = purple, Historical = grey
  • Multiple series: Use contrasting colors (max 4 lines recommended)
  • Positive/Negative: Green = positive, Red = negative

Accessibility Requirements

  1. Color contrast: Ensure sufficient contrast between elements
  2. Screen readers: Charts render with ARIA attributes
  3. Text alternatives: Provide data tables as alternative format
  4. No color-only meaning: Use patterns or labels alongside color

Common Props

Most chart components accept these props:

| Prop | Type | Description |

|------|------|-------------|

| data | DataSeries[] | Chart data |

| theme | string | Theme name |

| isAnimated | boolean | Enable/disable animations |

| showLegend | boolean | Show legend |

| xAxisOptions | object | X-axis configuration |

| yAxisOptions | object | Y-axis configuration |

| emptyStateText | string | Text when no data |

Axis Label Formatting

Follow Shopify's formatting standards:

  • Times: 12-hour lowercase (12am, 6pm)
  • Days: Three letters (Sun, Mon)
  • Months: Three letters (Feb, Mar)
  • Dates: "10 Apr" format
  • Numbers: Use "k" for thousands, max 3 digits + decimal + letter

Anti-Patterns to Avoid

  • DO NOT exceed 6 categories in bar/donut charts - use tables instead
  • DO NOT use more than 4 lines in a line chart
  • DO NOT rely on color alone to convey meaning
  • DO NOT use edge-to-edge axis lines - keep them within data range
  • DO NOT mix Polaris Viz with other chart libraries in the same app

References

  • [Chart Components](./references/chart-components.md) - Detailed props and examples for each chart type
  • [Theming Guide](./references/theming.md) - Custom theme configuration
  • [Data Structures](./references/data-structures.md) - Complete TypeScript interfaces

External Resources

  • [GitHub Repository](https://github.com/Shopify/polaris-viz) (archived)
  • [Storybook Documentation](https://polaris-viz.shopify.dev/)
  • [Polaris Data Visualization Guidelines](https://polaris-react.shopify.com/design/data-visualizations)

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