Hands-On Data Science with Anaconda

Inputting data using R

The R code is shown here:

> path<-"http://archive.ics.uci.edu/ml/machine-learning-databases/" 
> dataSet<-"iris/bezdekIris.data" 
> a<-paste(path,dataSet,sep='') 
> x<-read.csv(a,header=F) 
> colnames(x)<-c("sepalLength","sepalWidth","petalLength","petalWidth","Class") 

The dim(), head(), and tail() functions can be used to look at the size and the first and last several observations of the dataset, shown here:

> dim(x) 
   [1] 150   5 
> head(x,2) 
  sepalLength sepalWidth petalLength petalWidth       Class 
1         5.1        3.5         1.4        0.2 Iris-setosa 
2         4.9        3.0         1.4        0.2 Iris-setosa 
> tail(x,2) 
    sepalLength sepalWidth petalLength petalWidth          Class 
149         6.2        3.4         5.4        2.3 Iris-virginica 
150         5.9        3.0         5.1        1.8 Iris-virginica 

Alternatively, we can use other R ...