Data Visualization Principles Skill

Purpose

Establishes principles for creating effective, accessible, and honest data visualizations for political intelligence data.

Chart Selection Guide

Design Principles

1. Data-ink ratio — Maximize data, minimize decoration
2. Clarity — Clear labels, legends, and titles
3. Honesty — No misleading scales or truncated axes
4. Accessibility — WCAG 2.1 AA compliant colors and patterns
5. Responsiveness — Adapt to screen sizes
6. Interactivity — Tooltips, zoom, filter where appropriate

Color Guidelines

• Use colorblind-safe palettes
• Maintain 4.5:1 contrast ratio for text
• Use patterns/textures as secondary encoding
• Follow cyberpunk theme variables
• Limit to 7±2 colors per chart

Political Data Considerations

• Show confidence intervals for predictions
• Include data source attribution
• Indicate data freshness/staleness
• Support party-specific color coding
• Handle missing data transparently

Performance

• Canvas for large datasets (>1000 points)
• SVG for interactive/accessible charts
• Lazy load charts below the fold
• Optimize re-renders on data updates

Related Policies

• Secure Development Policy