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analysis-pitfalls

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Identify and avoid common data analysis pitfalls

Data & Analytics#data analysis#query construction#data accuracy#result interpretation#data pitfalls
Authormalloydata
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill helps data analysts catch common mistakes in query construction and result interpretation, ensuring accurate and reliable data analysis.

Core Features & Use Cases

  • Query Construction: Identifies pitfalls like wrong grain, invented entity names, and mismatched filter values.
  • Result Interpretation: Alerts analysts to implausible magnitudes, nulls distorting aggregations, and confusing count vs. count distinct.
  • Use Case: Before presenting results to stakeholders, use this Skill to verify queries and results, reducing the risk of presenting inaccurate data.

Quick Start

Analyze your query using the provided checklist to avoid common pitfalls in data analysis.

Dependency Matrix

Required Modules

None required

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: analysis-pitfalls
Download link: https://github.com/malloydata/publisher/archive/main.zip#analysis-pitfalls

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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