Cleaned Titanic Passenger Data with Derived Title and Age Group Features

A cleaned version of the classic Titanic passenger dataset, intended for learning machine learning encoding techniques. The dataset includes derived columns for passenger titles and age groups. It originates from the Kaggle platform, but specific authorship, size, and update details are not provided.

Use Cases

• Practice feature encoding techniques based on the derived 'Title' column.
• Build binary classification models for passenger survival prediction.
• Analyze demographic patterns in survival rates based on the derived 'AgeGroup' column.
• Learn data preprocessing workflows for structured, historical datasets.

Strengths

• Data has been cleaned, which may reduce initial preprocessing effort.
• Includes derived features ('Title', 'AgeGroup') that can be used for encoding practice.

Limitations

• Row count, column list, and file formats are unknown, which limits suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Kaggle

Collection Method

Derived from the historical Titanic passenger manifest; specific cleaning methodology is not detailed.

Time Range

1912 (inferred from the Titanic disaster).

Freshness

Last updated: unknown

Geography

North Atlantic voyage (inferred from the Titanic disaster).