Load external dataset
In this exercise you will read in the abalone.csv
dataset which is in CSV (comma separated values) format using the read_csv()
function from the readr
package. You will first need to load the readr
package. The abalone.csv
dataset has 4177 rows and 9 columns which include sex, size and weight measurements of abalones. Learn more about the abalone.csv
dataset.
This exercise is part of the course
R For SAS Users
Exercise instructions
- Load the
readr
package using thelibrary(packagename)
function. - Create a dataset object called
abalone
by assigning the output<-
from dataset imported using theread_csv()
function from thereadr
package. - Check that the number of rows and columns for the
abalone
dataset are correct, using the dimensiondim()
function. - List the variables names in the
abalone
dataset.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Load the readr package
library(___)
# Load abalone.csv dataset assign output to abalone
abalone <- readr::read_csv(___)
# Get the dimensions of the abalone dataset object
___
# Get variable names in the abalone dataset object
___