Apr 13, 2025 · We can access built-in datasets in R using data() function. This function lists all available datasets in the datasets package allowing users to explore various preloaded data sources. Output: A list of dataset names will be displayed such as "iris", "mtcars", "airquality", etc.

Jun 8, 2021 · We can find the list of built-in datasets readily available in R using R function data (). If we use data () function without any arguments, we will get the list of built-in datasets. data () opens a tab/window listing all the built-in datasets. In total, we have 104 built-in datasets in R.

Dec 5, 2023 · The R programming language comes with several built-in datasets that are useful for practicing building models, summarizing datasets, and creating visualizations. You can find a complete list of available built-in datasets by typing the following into your R console: library (help=' datasets ')

Nov 19, 2015 · There are several ways to find the included datasets in R: 1: Using data() will give you a list of the datasets of all loaded packages (and not only the ones from the datasets package); the datasets are ordered by package.

Discover diverse datasets from R packages. Explore curated data for analysis and visualization.

A dataset is a data collection presented in a table. The R programming language has tons of built-in datasets that can generally be used as a demo data to illustrate how the R functions work.

Explore our search tool to find every built-in dataset for all available R packages. We designed this resource to cater to the diverse needs of R users, providing a one-stop destination for accessing specific datasets relevant to a myriad of projects and analyses.

Aug 27, 2023 · You can find a complete list of the built-in datasets by using the data() function. Showing the built-in datasets in RStudio using data() To learn more about a specific dataset, you can use the ? operator.

Rdatasets is a collection of 2536 datasets which were originally distributed alongside the statistical software environment R and some of its add-on packages. The goal is to make these data more broadly accessible for teaching and statistical software development.

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, …