R Playground

Run R in the browser via WebR with ggplot2, dplyr, and more — install extra WASM packages with webr::install() for statistics labs and visualization.

In this workspace

What you get when you open RStudio Notebook.

Run All

Statistical R stack
tidyverse-friendly WebR packages and ggplot outputs
Multi-cell notebook
Add, reorder, and run cells independently or all at once
Datasets & samples
Iris, Titanic, and your own CSV/uploads in a Data explorer
AI tutor + cheatsheet
Inline help and click-to-insert snippets beside the notebook
Export & share
Download notebook formats and share a read-only link

Your R playgrounds

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No R playgrounds yet

Opens in the full Jupyter/RStudio notebook workspace with datasets, export, and AI tutor.

Starter template

# R playground — iris.csv loads from the Data panel
# Need an extra package? Run once per session, then library():
# webr::install("car")
# library(car)

library(ggplot2)
library(dplyr)

iris <- read.csv("iris.csv")
print(head(iris))

iris %>%
 group_by(species) %>%
 summarise(avg_sepal = mean(sepal_length), .groups = "drop")

ggplot(iris, aes(x = species, y = sepal_length, fill = species)) +
 geom_boxplot() +
 theme_minimal() +
 labs(title = "Sepal length by species")

What you'll learn

✓Statistics labs
✓ggplot2 visualization
✓Regression analysis
✓t-test / ANOVA

Starter template

# R playground — iris.csv loads from the Data panel # Need an extra package? Run once per session, then library(): # webr::install("car") # library(car) library(ggplot2) library(dplyr) iris <- read.csv("iris.csv") print(head(iris)) iris %>% group_by(species) %>% summarise(avg_sepal = mean(sepal_length), .groups = "drop") ggplot(iris, aes(x = species, y = sepal_length, fill = species)) + geom_boxplot() + theme_minimal() + labs(title = "Sepal length by species")