testing-data-visualizations

Design layered test strategies for charts, dashboards, and interactive data visualizations.

5.3k|765|Updated Mar 4, 2026
One-click install
npx skills add https://github.com/openai/plugins --skill testing-data-visualizations
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: testing-data-visualizations
Source: https://github.com/openai/plugins/tree/main/plugins/build-web-data-visualization/skills/testing-data-visualizations
Command: npx skills add https://github.com/openai/plugins --skill testing-data-visualizations

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Testing charts and dashboards is hard to get right: teams either over-test with brittle screenshot suites or under-test and ship wrong numbers, broken interactions, and visual regressions. This Skill provides a structured methodology for choosing the right test layers and keeping visualization test suites deterministic and trustworthy.

Core Features & Use Cases

  • Layered Test Planning: Guides selection across unit tests for data transforms, component tests for chart contracts, visual regression for layout-sensitive states, and E2E tests for dashboard workflows and exports.
  • Deterministic Rendering Guidance: Covers fixed viewports, seeded fixtures, disabled animation, mocked network boundaries, and render-ready signals for Canvas, WebGL, scrollytelling, and UML-like diagrams.
  • Brittleness Reduction: Helps audit and trim flaky, overgrown chart test suites by removing duplicated assertions and volatile baselines.
  • Use Case: A team with a React dashboard asks how to test it. The Skill produces a plan: unit tests for scale and binning logic, component tests for legends and callbacks, a few curated Playwright screenshot baselines, and E2E coverage for filters, URL state, and export flows.

Quick Start

Ask the assistant to design a test strategy for your chart or dashboard component, including which parts need unit, component, visual regression, and E2E coverage.

Frequently Asked Questions about testing-data-visualizations

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I test a React chart component?

Test React chart components at the public contract level: visible labels, legends, empty and error states, interaction callbacks, and accessible names. Keep transform logic in pure unit tests and reserve screenshots for layout-sensitive states rather than asserting library-generated DOM.

What should get unit tests versus E2E tests in a dashboard?

Unit tests cover pure logic like scales, binning, sorting, and formatting. E2E tests cover workflows spanning routing and async data, such as cross-chart filtering, URL state, drill-down, live refresh, and export or download flows.

How do I set up screenshot testing for charts without flakiness?

Freeze viewport size, fonts, theme, locale, timezone, and animation before capturing, and use seeded fixture data. Capture the smallest useful region, mask volatile elements like timestamps, and keep only a few intentional baselines instead of full-page snapshots.

What data should I mock when testing D3 or Canvas visualizations?

Mock at the network, loader, or repository boundary so transform and rendering logic stays real. Maintain canonical, edge-case, and stress fixtures covering nulls, zeros, outliers, empty series, and long labels, using seeded synthetic data when shape matters more than meaning.

How do I test Canvas or WebGL charts that have no DOM output?

Rely on data-contract tests, interaction event tests, render-ready signals, canvas-pixel sanity checks, and context-loss coverage rather than DOM snapshots. Add targeted visual baselines and a no-WebGL fallback screenshot for advanced scenes.

Why is my chart test suite flaky and how do I fix it?

Flakiness usually comes from unsettled fonts or animations, live data, and over-broad baselines. Add determinism through fixed fixtures and disabled motion, delete duplicated assertions across layers, and stop testing third-party library internals.