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  • Most used R built-in data sets
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R comes with several built-in data sets, which are generally used as demo data for playing with R functions.


In this article, we’ll first describe how load and use R built-in data sets. Next, we’ll describe some of the most used R demo data sets: mtcars, iris, ToothGrowth, PlantGrowth and USArrests.


Launch RStudio as described here: Running RStudio and setting up your working directory

To see the list of pre-loaded data, type the function data():

The output is as follow:

Load and print mtcars data as follow:

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If you want learn more about mtcars data sets, type this:

mtcars: Motor Trend Car Road Tests

The data was extracted from the 1974 Motor Trend US magazine, and comprises fuel consumption and 10 aspects of automobile design and performance for 32 automobiles (1973–74 models)

  • View the content of mtcars data set:
  • It contains 32 observations and 11 variables:
  • Description of variables:
  1. mpg: Miles/(US) gallon
  2. cyl: Number of cylinders
  3. disp: Displacement (cu.in.)
  4. hp: Gross horsepower
  5. drat: Rear axle ratio
  6. wt: Weight (1000 lbs)
  7. qsec: 1/4 mile time
  8. vs: V/S
  9. am: Transmission (0 = automatic, 1 = manual)
  10. gear: Number of forward gears
  11. carb: Number of carburetors

If you want to learn more about mtcars, type this:

iris

iris data set gives the measurements in centimeters of the variables sepal length, sepal width, petal length and petal width, respectively, for 50 flowers from each of 3 species of iris. The species are Iris setosa, versicolor, and virginica.

ToothGrowth

ToothGrowth data set contains the result from an experiment studying the effect of vitamin C on tooth growth in 60 Guinea pigs. Each animal received one of three dose levels of vitamin C (0.5, 1, and 2 mg/day) by one of two delivery methods, (orange juice or ascorbic acid (a form of vitamin C and coded as VC).

  1. len: Tooth length
  2. supp: Supplement type (VC or OJ).
  3. dose: numeric Dose in milligrams/day

PlantGrowth

Results obtained from an experiment to compare yields (as measured by dried weight of plants) obtained under a control and two different treatment condition.

USArrests

This data set contains statistics about violent crime rates by us state.

  1. Murder: Murder arrests (per 100,000)
  2. Assault: Assault arrests (per 100,000)
  3. UrbanPop: Percent urban population
  4. Rape: Rape arrests (per 100,000)

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  • Load a built-in R data set: data(“dataset_name”)

  • Inspect the data set: head(dataset_name)


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This analysis has been performed using R (ver. 3.2.3).


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