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dplyr is a package that provides a consistent set of verbs for data transformation, filtering, summarising, and more. It works with data frames, tibbles, and various backends such as arrow, dbplyr, sparklyr, and duckdb.
- Get started
This document introduces you to dplyr’s basic set of tools,...
- Reference
Superseded. Superseded functions have been replaced by new...
- News
dplyr 1.1.1 is on CRAN! This patch release includes a number...
- Two-table verbs
In dplyr, there are three families of verbs that work with...
- dplyr base R
dplyr solutions tend to use a variety of single purpose...
- Column-wise operations
This makes dplyr easier for you to use (because there are...
- Row-wise operations
dplyr, and R in general, are particularly well suited to...
- Programming with dplyr
Most dplyr verbs use "tidy evaluation", a special type of...
- Get started
dplyr is a package that provides a consistent set of verbs for data transformation, filtering, summarising, and more. Learn how to use dplyr with data frames, tibbles, databases, Spark, and other backends.
dplyr: A Grammar of Data Manipulation. A fast, consistent tool for working with data frame like objects, both in memory and out of memory. Version:
Aprende a usar el paquete dplyr, una gramática de verbos para manipular y operar con data frames en R. Descubre cómo instalarlo, cargarlo y consultar su documentación.
dplyr is a package for R that provides a consistent set of verbs for data transformation and analysis. Learn how to use dplyr with data frames, tibbles, arrow, dbplyr, duckdb, sparklyr and more.
Aprende a manipular datos en R con dplyr, uno de los paquetes más potentes y populares del universo tidyverse. Descubre cómo usar el operador pipe, las funciones de agrupación, selección, filtrado, manipulación y combinación de dplyr.
