Data Cleaning & Validation

Audit, clean and validate your dataset before any model is fitted, with a documented trail of every decision made along the way.

• • Raw data auditing: missingness patterns, duplicate detection, logic checks
• • Missing data handling with multiple imputation (MICE, Amelia) and sensitivity analysis
• • Outlier identification using statistical and visual diagnostics
• • Standardisation, variable coding, transformation and full cleaning documentation