Useful datasets

One of the best data sources is the UCI Machine Learning Repository. When we go to the web page at https://archive.ics.uci.edu/ml/datasets.html, we see the following list:

For example, if we click the first dataset (Abalone), we see the following. To save space, only the top part is shown:

From the web page, users can download the dataset and find definitions of variables and even citations. The code that follows can be used to download a related R dataset:

dataSet<-"UCIdatasets" 
path<-"http://canisius.edu/~yany/RData/" 
con<-paste(path,dataSet,".RData",sep='') 
load(url(con)) 
dim(.UCIdatasets) 
head(.UCIdatasets) 

The related output is shown here:

From the preceding output, we know that the dataset has 427 observations (dataset). For each dataset, we have 7 related features, such as Name, Data_Types, Default_Task, Attribute_Types, N_Instances (number of instances), N_Attributes (number of attributes), and Year. The variable called Default_Task could be interpreted...