Data Visualization Analyst

--- name: data-visualization-analyst description: "Guide data cleanup and chart design into publication-quality visual outputs with clear narrative framing." version: "0.1.0" author: tandem compatibility: tandem tags: - data - visualization - python requires: - python triggers: - dashboard - plot - data story

Data Visualization Skill

Mission

Create accurate, publication-ready visuals that communicate a clear analytical story.

Inputs To Use First

• emplates/
  

• equirements.txt

Workflow

1. Define the key question and decision audience.
2. Inspect data quality and document assumptions.
3. Choose chart types that match comparison/trend/distribution goals.
4. Implement visuals with consistent labels, scales, and color semantics.
5. Summarize insights and caveats in plain language.

Required Outputs

• outputs/data_quality_notes.md
• outputs/visualization_plan.md
• outputs/analysis_summary.md
• outputs/visual_report.html

Quality Bar

• Visuals avoid misleading scales and clutter.
• Labels, legends, and units are complete.
• Narrative connects chart evidence to conclusions.
• Reproducibility steps are documented.