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LinusConradM
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data-scientist

Analyze CRPD dataset observations into metrics, statistical tests, and visualizations.

Updated Mar 27, 2026
Search Tags:#metrics#visualization#data-analysis#statistical-methods#crpd#language-framing#regional-analysis
One-click install
npx skills add https://github.com/LinusConradM/test_crpd_dashboard --skill data-scientist-linusconradm
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: data-scientist
Source: https://github.com/LinusConradM/test_crpd_dashboard/tree/main/.claude/skills/data-scientist
Command: npx skills add https://github.com/LinusConradM/test_crpd_dashboard --skill data-scientist-linusconradm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyzes the CRPD dataset to design metrics, apply statistical methods, and specify visualizations, turning two decades of treaty reporting into evidence-based insights for organizations, governments, researchers, and advocates.

Core Features & Use Cases

  • Metric design and operationalization for treaty data
  • Statistical testing, effect sizes, and confidence intervals to support robust inferences
  • Language-framing analysis comparing medical vs rights-based discourse and tracking temporal shifts
  • Visualization specification for dashboards and reports, including region- and country-level comparisons
  • Cross-country, regional, and doc_type analyses to illuminate reporting patterns and gaps

Quick Start

Create a regional article attention heatmap comparing any two UN regional groups using State Reports data.

Frequently Asked Questions about data-scientist

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

FAQPage Schema
How do I analyze CRPD treaty data for cross-country comparisons and regional disparities?▼

You can compare UN regional groups by generating a regional article attention heatmap using State Reports data, which visualizes reporting patterns and disparities across the selected regions.

What statistical methods are available for CRPD dataset analysis?▼

The Skill translates statistical findings into plain-language summaries, ensuring that effect sizes and confidence intervals are accessible to organizations, governments, and advocates without requiring deep statistical expertise.

Can I track temporal language shifts in disability rights treaty reporting?▼

Language-framing analysis tracks temporal shifts by comparing medical versus rights-based discourse across five document types, revealing how advocacy terminology evolves over time within the CRPD dataset.

Does this approach support visualization specifications for dashboards and reports?▼

Visualization specification outputs include region- and country-level comparisons designed for dashboards and reports, translating two decades of treaty reporting into clear visual evidence.

What document types are covered in CRPD data analysis?▼

The analysis covers five document types, allowing users to perform doc_type analyses that compare reporting patterns and gaps across 150+ countries within the CRPD dataset.

Do I need prior statistical knowledge to interpret CRPD data insights?▼

No, you do not need deep statistical expertise because the Skill translates rigorous statistical findings, including effect sizes and confidence intervals, into plain-language learnings for decision-makers.

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