| data_titanic {classmap} | R Documentation |
Titanic data
Description
This dataset contains information on 1309 passengers of the RMS Titanic. The goal is to predict survival based on 11 characteristics such as the travel class, age and sex of the passengers.
The original data source is https://www.kaggle.com/c/titanic/data
The data is split up in a training data consisting of 891 observations and a test data of 418 observations. The response in the test set was obtained by combining information from other data files, and has been verified by submitting it as a ‘prediction’ to kaggle and getting perfect marks.
Usage
data("data_titanic")Format
A data frame with 1309 observations on the following variables.
- PassengerId
a unique identified for each passenger.
- Pclass
travel class of the passenger.
- Name
name of the passenger.
- Sex
sex of the passenger.
- Age
age of the passenger.
- SibSp
number of siblings and spouses traveling with the passenger.
- Parch
number of parents and children traveling with the passenger.
- Ticket
Ticket number of the passenger.
- Fare
fare paid for the ticket.
- Cabin
cabin number of the passenger.
- Embarked
Port of embarkation. Takes the values C (Cherbourg), Q (Queenstown) and S (Southampton).
- y
factor indicating casualty or survivor.
- dataType
vector taking the values “train” or “test” indicating whether the observation belongs to the training or the test data.
Source
https://www.kaggle.com/c/titanic/data
Examples
data("data_titanic")
traindata <- data_titanic[which(data_titanic$dataType == "train"), -13]
testdata <- data_titanic[which(data_titanic$dataType == "test"), -13]
str(traindata)
table(traindata$y)
# The data are used in:
## Not run:
vignette("Rpart_examples")
## End(Not run)