| titanic {prettyglm} | R Documentation |
Titanic Data
Description
The sinking of the Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the widely considered “unsinkable” RMS Titanic sank after colliding with an iceberg. Unfortunately, there weren’t enough lifeboats for everyone onboard, resulting in the death of 1502 out of 2224 passengers and crew. While there was some element of luck involved in surviving, it seems some groups of people were more likely to survive than others. In this challenge, we ask you to build a predictive model that answers the question: “what sorts of people were more likely to survive?” using passenger data (ie name, age, gender, socio-economic class, etc).
Usage
data(titanic)
Format
An object of class "data.frame"
- survival
Survival
- pclass
Ticket class
- sex
Sex
- Age
Age in years
- sibsp
number of siblings / spouses
- parch
number of parents / children
- ticket
Ticket number
- fare
Passenger fare
- cabin
Cabin Number
- cabintype
Type of cabin
- embarked
Port of Embarkation
References
This data set sourced from https://www.kaggle.com/c/titanic/data?select=train.csv
Examples
data(titanic)
head(titanic)