Reading multivariate data using read.table
Reading multivariate data from a file or an external URL can generally be done using the read.table() or read.csv() commands, depending on the type of data source. In this exercise you will read the wine dataset from the UCI machine learning website. A full description of the dataset can be found here.
For more details on reading data in R, you can consult the Introduction to Importing Data in R and Intermediate Importing Data in R courses. After this exercise, the wine dataset will be preloaded for you.
Este exercício faz parte do curso
Multivariate Probability Distributions in R
Instruções do exercício
- Use the
read.table()function to read thewinedataset from https://archive.ics.uci.edu/ml/machine-learning-databases/wine/wine.data. - Display the first 4 entries of the dataset.
- Find the dimensions of the dataset.
- Check the names of columns of the dataset.
Exercício interativo prático
Experimente este exercício completando este código de exemplo.
# Read in the wine dataset
wine <- read.table("___", sep = ",")
# Print the first four entries
head(___)
# Find the dimensions of the data
dim(___)
# Check the names of the wine dataset
___