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data-cleaning-pipeline
Systematic data cleaning workflows for research datasets
skills/analysis/wrangling/data-cleaning-pipeline/SKILL.md
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# Data Cleaning Pipeline
A skill for building systematic, reproducible data cleaning pipelines for research datasets. Covers common data quality issues, step-by-step cleaning workflows, handling missing values, detecting and treating outliers, validating data integrity, and documenting cleaning decisions for reproducibility.
## The Data Cleaning Workflow
### Pipeline Overview
Data cleaning should follow a consistent, documented order. Each step builds on the previous one, and the entire pipeline should be scripted for reproducibility.
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Data Cleaning Pipeline (recommended order):
1. Initial Assessment