List of Built in Datasets in R

built-in data R

rstats

Published

June 8, 2021

R has numerous datasets that are built-in and these datasets are available in a R package called “R Datasets Package”. This is maintained by R Core team and available with base installation of R. We can find the list of built-in datasets readily available in R using R function data().

Find out Builtin datasets in R with data()

If we use data() function without any arguments, we will get the list of built-in datasets.

data()

data() opens a tab/window listing all the built-in datasets. In total, we have 104 built-in datasets in R.

R Built-in Datasets

List of datasets in R Datasets Package with help()

We can also get the list of all Builtin datasets in R using help() function.

help(package="datasets")

Here we specify the datasets R package name and it opens a help window like this.

Builtin Datasets in R Datasets Package

List of datasets in a specific R Package with data()

We can list the available dataset in any package as follows.

# list available datasets in ggplot2 package
data(package="ggplot2")

List Datasets in a Specific R Package ### List All Datasets from all available R packages

To list all available datasets from all R package we have available/installed in your computer is use the data() function with the following argument.

# how to list all datasets from all installed packages
data(package = .packages(all.available = TRUE))

Accessing Built-In Dataset in R

We can directly access the builtin datasets using the name of the datasets

# access built-in dataset by its name
mtcars

##                      mpg cyl  disp  hp drat    wt  qsec vs am gear carb
## Mazda RX4           21.0   6 160.0 110 3.90 2.620 16.46  0  1    4    4
## Mazda RX4 Wag       21.0   6 160.0 110 3.90 2.875 17.02  0  1    4    4
## Datsun 710          22.8   4 108.0  93 3.85 2.320 18.61  1  1    4    1
## Hornet 4 Drive      21.4   6 258.0 110 3.08 3.215 19.44  1  0    3    1
## Hornet Sportabout   18.7   8 360.0 175 3.15 3.440 17.02  0  0    3    2
## Valiant             18.1   6 225.0 105 2.76 3.460 20.22  1  0    3    1
## Duster 360          14.3   8 360.0 245 3.21 3.570 15.84  0  0    3    4
## Merc 240D           24.4   4 146.7  62 3.69 3.190 20.00  1  0    4    2
## Merc 230            22.8   4 140.8  95 3.92 3.150 22.90  1  0    4    2

Accessing a dataset from a R Package

We can access a dataset from a R package using the pattern packageName::datasetName. In this example below, we get storms data from dplyr package.

# access a dataset available in a package
dplyr::storms

## # A tibble: 10,010 x 13
##    name   year month   day  hour   lat  long status category  wind pressure
##                     
##  1 Amy    1975     6    27     0  27.5 -79   tropi… -1          25     1013
##  2 Amy    1975     6    27     6  28.5 -79   tropi… -1          25     1013
##  3 Amy    1975     6    27    12  29.5 -79   tropi… -1          25     1013
##  4 Amy    1975     6    27    18  30.5 -79   tropi… -1          25     1013
##  5 Amy    1975     6    28     0  31.5 -78.8 tropi… -1          25     1012
##  6 Amy    1975     6    28     6  32.4 -78.7 tropi… -1          25     1012
##  7 Amy    1975     6    28    12  33.3 -78   tropi… -1          25     1011
##  8 Amy    1975     6    28    18  34   -77   tropi… -1          30     1006
##  9 Amy    1975     6    29     0  34.4 -75.8 tropi… 0           35     1004
## 10 Amy    1975     6    29     6  34   -74.8 tropi… 0           40     1002
## # … with 10,000 more rows, and 2 more variables: ts_diameter ,
## #   hu_diameter

Do you need more interesting, complex, and real world datasets? Check out TidyTuesday, a weekly social data project in R with really interesting datasets. You can also access the TidyTuesday project datasets from the R package tidyTuesdayR.

--- title: "List of Built in Datasets in R" date: 2021-06-08 categories: ['built-in data R', 'rstats'] format: html: code-fold: false code-tools: true --- R has numerous datasets that are built-in and these datasets are available in a R package called "[R Datasets Package](https://stat.ethz.ch/R-manual/R-devel/library/datasets/html/00Index.html)". This is maintained by R Core team and available with base installation of R. We can find the list of built-in datasets readily available in R using R function data(). ### Find out Builtin datasets in R with data() If we use data() function without any arguments, we will get the list of built-in datasets. ```r data() ``` data() opens a tab/window listing all the built-in datasets. In total, we have 104 built-in datasets in R. ![R Built-in Datasets](https://rstats101.com/wp-content/uploads/2021/06/R_built_in_datasets.png) R Built-in Datasets ### List of datasets in R Datasets Package with help() We can also get the list of all Builtin datasets in R using help() function. ```r help(package="datasets") ``` Here we specify the datasets R package name and it opens a help window like this. ![Builtin Datasets in R Datasets Package ](https://rstats101.com/wp-content/uploads/2021/06/R_builtin_datasets.png) Builtin Datasets in R Datasets Package ### List of datasets in a specific R Package with data() We can list the available dataset in any package as follows. ```r # list available datasets in ggplot2 package data(package="ggplot2") ``` ![List Datasets in a Specific R Package](https://rstats101.com/wp-content/uploads/2021/06/Available_Datasets_in_specific_R_package.png) List Datasets in a Specific R Package ### List All Datasets from all available R packages To list all available datasets from all R package we have available/installed in your computer is use the data() function with the following argument. ```r # how to list all datasets from all installed packages data(package = .packages(all.available = TRUE)) ``` ### Accessing Built-In Dataset in R We can directly access the builtin datasets using the name of the datasets ```r # access built-in dataset by its name mtcars ## mpg cyl disp hp drat wt qsec vs am gear carb ## Mazda RX4 21.0 6 160.0 110 3.90 2.620 16.46 0 1 4 4 ## Mazda RX4 Wag 21.0 6 160.0 110 3.90 2.875 17.02 0 1 4 4 ## Datsun 710 22.8 4 108.0 93 3.85 2.320 18.61 1 1 4 1 ## Hornet 4 Drive 21.4 6 258.0 110 3.08 3.215 19.44 1 0 3 1 ## Hornet Sportabout 18.7 8 360.0 175 3.15 3.440 17.02 0 0 3 2 ## Valiant 18.1 6 225.0 105 2.76 3.460 20.22 1 0 3 1 ## Duster 360 14.3 8 360.0 245 3.21 3.570 15.84 0 0 3 4 ## Merc 240D 24.4 4 146.7 62 3.69 3.190 20.00 1 0 4 2 ## Merc 230 22.8 4 140.8 95 3.92 3.150 22.90 1 0 4 2 ``` ### Accessing a dataset from a R Package We can access a dataset from a R package using the pattern packageName::datasetName. In this example below, we get storms data from dplyr package. ```r # access a dataset available in a package dplyr::storms ## # A tibble: 10,010 x 13 ## name year month day hour lat long status category wind pressure ## ## 1 Amy 1975 6 27 0 27.5 -79 tropi… -1 25 1013 ## 2 Amy 1975 6 27 6 28.5 -79 tropi… -1 25 1013 ## 3 Amy 1975 6 27 12 29.5 -79 tropi… -1 25 1013 ## 4 Amy 1975 6 27 18 30.5 -79 tropi… -1 25 1013 ## 5 Amy 1975 6 28 0 31.5 -78.8 tropi… -1 25 1012 ## 6 Amy 1975 6 28 6 32.4 -78.7 tropi… -1 25 1012 ## 7 Amy 1975 6 28 12 33.3 -78 tropi… -1 25 1011 ## 8 Amy 1975 6 28 18 34 -77 tropi… -1 30 1006 ## 9 Amy 1975 6 29 0 34.4 -75.8 tropi… 0 35 1004 ## 10 Amy 1975 6 29 6 34 -74.8 tropi… 0 40 1002 ## # … with 10,000 more rows, and 2 more variables: ts_diameter , ## # hu_diameter ``` Do you need more interesting, complex, and real world datasets? Check out [TidyTuesday](https://github.com/rfordatascience/tidytuesday), a weekly social data project in R with really interesting datasets. You can also access the TidyTuesday project datasets from the R package [tidyTuesdayR](https://thebioengineer.github.io/tidytuesdayR/).