domains / families / research / data-cleaning

data-cleaning

separate

Clean and transform messy data for analysis in Python, R, or Stata

When to use

• This skill helps economists clean, transform, and prepare datasets for analysis in Python, R, or Stata. It emphasizes reproducibility, proper documentation, and handling common data quality issues found in economic research.
• Cleaning raw survey or administrative data
• Merging multiple data sources
• Handling missing values, duplicates, and outliers
• Creating analysis-ready panel datasets
• Documenting data transformations for replication

Skill page

Source