Purpose: Demonstrate how data quality impacts analytics through the iconic Titanic dataset, featuring:
Original datasets (with known age/class errors)
Corrected versions (with reconciled passenger details)
Data quality annotations (error flags, reconciliation sources)
Homepage: Data Governance: Titanic Dataset and the Perils of Bad Data
Repository: mjboothaus-titanic-databoothTasks: data-cleaning, error-detection, survival-prediction
Dataset Versions… See the full description on the dataset page: https://huggingface.co/datasets/mjboothaus/titanic-databooth.
