tidyverse / dplyr

# dplyr 
## Overview
dplyr is a grammar of data manipulation, providing a consistent set of
verbs that help you solve the most common data manipulation challenges:
- `mutate()` adds new variables that are functions of existing variables
- `select()` picks variables based on their names.
- `filter()` picks cases based on their values.
- `summarise()` reduces multiple values down to a single summary.
- `arrange()` changes the ordering of the rows.
These all combine naturally with `group_by()` which allows you to
perform any operation “by group”. You can learn more about them in
`vignette("dplyr")`. As well as these single-table verbs, dplyr also
provides a variety of two-table verbs, which you can learn about in
`vignette("two-table")`.
If you are new to dplyr, the best place to start is the data
transformation chapter in R for
Data Science.
## Backends
In addition to data frames/tibbles, dplyr makes working with other
computational backends accessible and efficient. Below is a list of
alternative backends:
- arrow for larger-than-memory
 datasets, including on remote cloud storage like AWS S3, using the
 Apache Arrow C++ engine,
 Acero.
- dbplyr for data stored in a
 relational database. Translates your dplyr code to SQL.
- dtplyr for large, in-memory datasets.
 Translates your dplyr code to high performance
 data.table code.
- duckplyr for large, in-memory
 datasets. Translates your dplyr code to high performance
 duckdb queries with zero extra copies and an
 automatic R fallback when translation isn’t possible.
- sparklyr for very large datasets stored in
 Apache Spark.
## Installation
 [code] 
### Development version
To get a bug fix or to use a feature from the development version, you
can install the development version of dplyr from GitHub.
 [code] 
## Cheat Sheet
## Usage
 [code] 
## Getting help
If you encounter a clear bug, please file an issue with a minimal
reproducible example on
GitHub. For questions and
other discussion, please use forum.posit.co.
## Code of conduct
Please note that this project is released with a Contributor Code of
Conduct. By participating
in this project you agree to abide by its terms.