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data-visualization

Standardize data visualization selection in UI design workflows.

1|Updated Dec 30, 2025
Search Tags:#accessibility#analytics#dashboards#ui-design#data-visualization#design-systems
One-click install
npx skills add https://github.com/tyroneross/interface-built-right --skill data-visualization-tyroneross
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-visualization
Source: https://github.com/tyroneross/interface-built-right/tree/main/skills/data-visualization
Command: npx skills add https://github.com/tyroneross/interface-built-right --skill data-visualization-tyroneross

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the problem of cluttered or misleading data presentation by enforcing strict design logic that ensures charts only appear when they provide genuine analytical value.

Core Features & Use Cases

  • Chart-Worthiness Gate: Prevents decorative or unnecessary charts by requiring data to meet specific insight and provenance criteria.
  • Deterministic Chart Routing: Provides a standardized mapping system to select the most effective visual representation based on the data relationship.
  • Accessibility & Validation: Ensures all data visualizations meet WCAG AA standards and include necessary context, attribution, and mobile-responsive layouts.

Quick Start

Use the data-visualization skill to audit the proposed dashboard metrics and select the appropriate chart types for the quarterly performance report.

Frequently Asked Questions about data-visualization

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

FAQPage Schema
How do I choose the right data visualizations for an analytics dashboard?▼

To choose the right data visualizations for an analytics dashboard, apply deterministic chart routing based on underlying data relationships to ensure the selected chart provides genuine analytical value.

What is a chart-worthiness gate in UI design?▼

A chart-worthiness gate in UI design is a validation step that prevents decorative or unnecessary charts by requiring proposed metrics to meet specific insight and provenance criteria before rendering.

How do I make metric-heavy interfaces accessible?▼

Make metric-heavy interfaces accessible by ensuring all data visualizations meet WCAG AA standards, include necessary analytical context, attribution, and utilize mobile-responsive layouts for structural compliance.

Can I use this approach to audit existing dashboard metrics?▼

Yes, you can use this approach to audit existing dashboard metrics by evaluating them against chart-worthiness gates to filter out cluttered or misleading data presentation and validate visual components.

When should I avoid using a chart to display metric data?▼

You should avoid using a chart to display metric data when it fails to pass chart-worthiness criteria, meaning the data lacks sufficient insight or provenance to justify a visual representation over simple text.

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