The dataset contains the following columns:
- PassengerId: an identification number for each passenger. Data type is irrelevant as this column has no prediction capability.
- Name: The passenger’s name. Data type is irrelevant as this column has no prediction capability.
- SibSp: The number of siblings or spouses traveling with the passenger on board. Data type is categorical.
- Parch: Number of parents or children aboard traveling with the passenger. Data type is categorical.
- Fare: Amount paid for the ticket. Data type is decimal as fare means and amount.
- Cabin: The passenger’s assigned cabin number. Data type is irrelevant as this column has no prediction capability.
- Pclass: Travel class (can be 0, 1, 2, or 3). Data type is categorical.
- Embarked: Departure port. Data type is categorical.
- Age: Passenger Age. The data type is decimal, just as the fare relates to a quantity.
- Sex: male or female. Data type is categorical.
- Ticket: Ticket number. Data type is irrelevant as this column has no prediction capability.
- Survived: Whether or not passenger survived. Data type is categorical. TARGET