stata
OfficialStreamline Stata data cleaning and analysis
Data & Analytics#coding-standards#reproducibility#stata#data-management#data-cleaning#quality-checks#missing-values
AuthorPovertyAction
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Stata data cleaning and analysis skill addresses the need for reproducible, well-documented workflows by standardizing how researchers import data, manage variables, apply IPA/DIME Analytics coding standards, and document decisions across Stata projects.
Core Features & Use Cases
- Core Principles: Reproducible code, defensive checks, and thorough documentation aligned with no-PII practices.
- Data Cleaning Workflow: Import, deidentify, clean, and construct analysis variables following a structured pipeline.
- Use Cases: Cleaning survey data, preparing analysis-ready datasets, and maintaining project-wide documentation and codebooks.
Quick Start
Apply the Stata data cleaning and analysis standards to your dataset by following the guidelines in this guide.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 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: stata Download link: https://github.com/PovertyAction/ipa-stata-template/archive/main.zip#stata Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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