The sampledatasets package provides a collection of sample datasets on various fields such as automotive performance, safety data, historical demographics, socioeconomic indicators, and recreational data. These datasets serve as a resource for researchers and analysts seeking to perform analyses and derive insights from classic data sets in R.
The sampledatasets package includes datasets from
various domains, all of which have been sourced from existing datasets
in R and are clearly identified with suffixes to denote their structure
as either a data frame (_df
) or a tibble
(_tbl
). This clear naming convention helps users quickly
identify the structure of each dataset.
mtcars
dataset, containing automotive performance and
specifications.swiss
dataset, focused on socio-economic indicators in
Switzerland.cars
dataset, which contains speed and stopping distance
data for cars.arbuthnot
dataset, with historical birth data from John
Arbuthnot’s 1710 study.cards
dataset, containing data about playing cards.You can install the sampledatasets package from CRAN using the following command:
install.packages("sampledatasets")
To use the datasets provided by the sampledatasets package, simply load the package and call the desired dataset using the data() function.
# Load the sampledatasets package
library(sampledatasets)
# Load a dataset
data("mtcars_df")
# View the first few rows of the dataset
head(mtcars_df)
# Load another dataset
data("arbuthnot_tbl")
# View the dataset structure
str(arbuthnot_tbl)
Each dataset is structured either as a **data frame (_df)** or a **tibble (_tbl)**, as indicated by the suffix in their names. You can use them just like any other dataset in R for your analysis, visualizations, or statistical modeling.