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Pima Diabetes Data Audit and Repair
Audited and repaired a healthcare dataset with missing, invalid, and outlier values while keeping the cleaning logic documented.
Overview
Problem
Missing, invalid, and outlier values can distort analysis, especially in healthcare-related datasets.
Outcome
The repaired dataset became more usable for later statistical analysis while keeping the cleaning logic transparent.
Approach
Method used.
- Audited missingness, outliers, and weak-value patterns.
- Documented the repair process so the logic stayed clear and reproducible.
- Balanced cleanup decisions with analytical usability.
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