Data Wrangling with dplyr

Interactive beginner R tutorial on dplyr: filter, select, mutate, arrange, group_by and summarise — the tidyverse verbs for reshaping data. Run real R in your browser.

Base R can reshape data, but dplyr makes it read like plain English — a handful of verbs cover most of the job. Everything below is a live R console — edit the code and press Run Code.

Watch: data wrangling with dplyr

The core verbs — filter, select, mutate, group_by and summarise — on the mtcars data.

Download the R script  ·  ▶ Practice in the playground — or edit and run each snippet below.

Note

The first Run Code installs dplyr into your browser session — give it 20–40 seconds. After that it’s instant.

filter() — keep rows

Keep only the rows that pass a test:

select() — keep columns

Trim a wide table down to the columns you name:

mutate() — add a column

Compute a new column from the others:

group_by() + summarise() — collapse groups

The heart of most analyses: one summary row per group:

Your turn

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Next: The pipe (|>) → — chaining these verbs into a readable flow.