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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

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Exercise instructions

  • Load the readr package using the library(packagename) function.
  • Create a dataset object called abalone by assigning the output <- from dataset imported using the read_csv() function from the readr package.
  • Check that the number of rows and columns for the abalone dataset are correct, using the dimension dim() 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
___
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