Data Science2024
Election Survey: Data Anonymization and Privacy Analysis
Applied privacy-preserving transformations to voter survey data while retaining analytical utility.
Methodology
Demographic recoding, age binning, and identifier removal, evaluated with K-anonymity, L-diversity, and Chi-square testing.
Findings
K-anonymity improved from 0 to 2 post-anonymization, while Chi-square tests confirmed key demographic-voting relationships remained statistically consistent.
Tools & Methods
K-AnonymityL-DiversityChi-Square Testing