# This R script will run on our backend. You can write arbitrary code here! # Many standard libraries are already installed, such as randomForest library(randomForest) # The train and test data is stored in the ../input directory train <- read.csv("../input/train.csv") test <- read.csv("../input/test.csv") # We can inspect the train data. The results of this are printed in the log tab below summary(train) # Here we will plot the passenger survival by class train$Survived <- factor(train$Survived, levels=c(1,0)) levels(train$Survived) <- c("Survived", "Died") train$Pclass <- as.factor(train$Pclass) levels(train$Pclass) <- c("1st Class", "2nd Class", "3rd Class") png("1_survival_by_class.png", width=800, height=600) mosaicplot(train$Pclass ~ train$Survived, main="Passenger Survival by Class", color=c("#8dd3c7", "#fb8072"), shade=FALSE, xlab="", ylab="", off=c(0), cex.axis=1.4) dev.off()
This script has been released under the Apache 2.0 open source license.
Via: Google Alert for ML