Science Score: 36.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
✓Committers with academic emails
15 of 287 committers (5.2%) from academic institutions -
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (18.6%) to scientific vocabulary
Keywords
data-manipulation
grammar
r
Keywords from Contributors
rmarkdown
package-creation
book
latex
tidy-data
pandoc
bookdown
literate-programming
gitbook
epub
Last synced: 6 months ago
·
JSON representation
Repository
dplyr: A grammar of data manipulation
Basic Info
- Host: GitHub
- Owner: tidyverse
- License: other
- Language: R
- Default Branch: main
- Homepage: https://dplyr.tidyverse.org/
- Size: 69 MB
Statistics
- Stars: 4,925
- Watchers: 245
- Forks: 2,128
- Open Issues: 128
- Releases: 43
Topics
data-manipulation
grammar
r
Created over 13 years ago
· Last pushed 6 months ago
Metadata Files
Readme
Changelog
Contributing
License
Code of conduct
Codeowners
Support
README.Rmd
---
output: github_document
---
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
options(tibble.print_min = 5, tibble.print_max = 5)
```
# dplyr 
[](https://cran.r-project.org/package=dplyr)
[](https://github.com/tidyverse/dplyr/actions/workflows/R-CMD-check.yaml)
[](https://app.codecov.io/gh/tidyverse/dplyr?branch=main)
## 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](https://r4ds.hadley.nz/data-transform) 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](https://arrow.apache.org/docs/r/) for larger-than-memory datasets, including on remote cloud storage like AWS S3, using the Apache Arrow C++ engine, [Acero](https://arrow.apache.org/docs/cpp/streaming_execution.html).
- [dtplyr](https://dtplyr.tidyverse.org/) for large, in-memory datasets.
Translates your dplyr code to high performance
[data.table](https://rdatatable.gitlab.io/data.table/) code.
- [dbplyr](https://dbplyr.tidyverse.org/) for data stored in a relational
database. Translates your dplyr code to SQL.
- [duckplyr](https://tidyverse.github.io/duckplyr/) for using [duckdb](https://duckdb.org) on large, in-memory datasets with zero extra copies. Translates your dplyr code to high performance duckdb queries with an automatic R fallback when translation isn't possible.
- [duckdb](https://duckdb.org/docs/api/r) for large datasets that are
still small enough to fit on your computer.
- [sparklyr](https://spark.rstudio.com) for very large datasets stored in
[Apache Spark](https://spark.apache.org).
## Installation
```{r, eval = FALSE}
# The easiest way to get dplyr is to install the whole tidyverse:
install.packages("tidyverse")
# Alternatively, install just dplyr:
install.packages("dplyr")
```
### 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.
```{r, eval = FALSE}
# install.packages("pak")
pak::pak("tidyverse/dplyr")
```
## Cheat Sheet
## Usage
```{r, message = FALSE}
library(dplyr)
starwars %>%
filter(species == "Droid")
starwars %>%
select(name, ends_with("color"))
starwars %>%
mutate(name, bmi = mass / ((height / 100) ^ 2)) %>%
select(name:mass, bmi)
starwars %>%
arrange(desc(mass))
starwars %>%
group_by(species) %>%
summarise(
n = n(),
mass = mean(mass, na.rm = TRUE)
) %>%
filter(
n > 1,
mass > 50
)
```
## Getting help
If you encounter a clear bug, please file an issue with a minimal reproducible example on [GitHub](https://github.com/tidyverse/dplyr/issues). For questions and other discussion, please use [forum.posit.co](https://forum.posit.co/).
## Code of conduct
Please note that this project is released with a [Contributor Code of Conduct](https://dplyr.tidyverse.org/CODE_OF_CONDUCT).
By participating in this project you agree to abide by its terms.
Owner
- Name: tidyverse
- Login: tidyverse
- Kind: organization
- Website: http://tidyverse.org
- Repositories: 43
- Profile: https://github.com/tidyverse
The tidyverse is a collection of R packages that share common principles and are designed to work together seamlessly
GitHub Events
Total
- Issues event: 729
- Watch event: 191
- Delete event: 1
- Issue comment event: 570
- Push event: 20
- Pull request review event: 4
- Pull request review comment event: 8
- Pull request event: 16
- Fork event: 44
- Create event: 2
Last Year
- Issues event: 729
- Watch event: 191
- Delete event: 1
- Issue comment event: 570
- Push event: 20
- Pull request review event: 4
- Pull request review comment event: 8
- Pull request event: 16
- Fork event: 44
- Create event: 2
Committers
Last synced: 8 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| Romain François | r****n@r****m | 2,700 |
| hadley | h****m@g****m | 1,972 |
| Kirill Müller | k****r@m****g | 754 |
| Lionel Henry | l****y@g****m | 611 |
| Davis Vaughan | d****s@r****m | 295 |
| Kirill Müller | k****r@i****h | 78 |
| Mara Averick | m****k@g****m | 37 |
| Hiroaki Yutani | y****i@g****m | 27 |
| lindbrook | l****k@g****m | 27 |
| Jim Hester | j****r@g****m | 26 |
| Hannes Mühleisen | h****s@m****g | 16 |
| Kevin Ushey | k****y@g****m | 15 |
| Mine Çetinkaya-Rundel | c****e@g****m | 13 |
| Jennifer (Jenny) Bryan | j****n@g****m | 10 |
| Sam | s****e | 8 |
| Sergio Oller | s****r@g****m | 8 |
| jennybc | j****y@s****a | 8 |
| Ilari Scheinin | i****n@g****m | 7 |
| Stefan Fleck | s****k@g****m | 7 |
| ijlyttle | i****e@s****m | 7 |
| Javier Luraschi | j****i@h****m | 6 |
| Bill Denney | w****y@h****m | 6 |
| leondutoit | l****n@c****m | 6 |
| Sergey Goder | s****r@f****m | 6 |
| Salim B | s****m@p****e | 5 |
| earowang | e****g@g****m | 5 |
| Christophe Dervieux | c****x@g****m | 5 |
| Mauro Lepore | m****e | 5 |
| Romain François | r****n@t****r | 5 |
| Michael Chirico | m****4@g****m | 4 |
| and 257 more... | ||
Committer Domains (Top 20 + Academic)
rstudio.com: 4
mailbox.org: 2
me.com: 2
utexas.edu: 1
sydney.edu.au: 1
bankofamerica.com: 1
organice.de: 1
gladbachcity.de: 1
weecology.org: 1
cynkra.com: 1
infolace.com: 1
debian.org: 1
dirk-schumacher.net: 1
tdfd.org: 1
danielluedecke.de: 1
rockefeller.edu: 1
bio.lmu.de: 1
ispm.unibe.ch: 1
msn.com: 1
windlogics.com: 1
pnnl.gov: 1
stat.ubc.ca: 1
ivt.baug.ethz.ch: 1
iastate.edu: 1
york.ac.uk: 1
mail.nankai.edu.cn: 1
cemm.oeaw.ac.at: 1
unibas.ch: 1
asu.edu: 1
jhu.edu: 1
berkeley.edu: 1
fs.tum.de: 1
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 370
- Total pull requests: 106
- Average time to close issues: 22 days
- Average time to close pull requests: 17 days
- Total issue authors: 250
- Total pull request authors: 39
- Average comments per issue: 2.01
- Average comments per pull request: 0.8
- Merged pull requests: 71
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 103
- Pull requests: 26
- Average time to close issues: 2 days
- Average time to close pull requests: about 24 hours
- Issue authors: 65
- Pull request authors: 12
- Average comments per issue: 0.67
- Average comments per pull request: 0.23
- Merged pull requests: 7
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- waskijoy (60)
- jenuferLopez (37)
- jgonza-2002 (33)
- per789 (26)
- DavisVaughan (26)
- munar (25)
- murat93eses (24)
- JamesMcClurer (24)
- braybnix (24)
- ITechCarlo (21)
- BrandishaReynolds57 (18)
- yohalvisch33 (14)
- nightareyou (12)
- krlmlr (11)
- majid0177 (11)
Pull Request Authors
- DavisVaughan (37)
- krlmlr (26)
- ITechCarlo (8)
- munar (5)
- jenuferLopez (4)
- jgonza-2002 (4)
- KittJonathan (4)
- billdenney (3)
- hadley (3)
- per789 (3)
- JamesMcClurer (3)
- matthewjnield (3)
- gaborcsardi (2)
- steveharoz (2)
- musvaage (2)
Top Labels
Issue Labels
feature (19)
bug (11)
rows ↕️ (8)
tidy-dev-day :nerd_face: (5)
documentation (5)
columns ↔️ (4)
tables 🧮 (4)
grouping :family_man_woman_girl_boy: (3)
performance :rocket: (3)
breaking change :skull_and_crossbones: (2)
rlang :microscope: (2)
verbs :running_woman: (2)
lifecycle :butterfly: (1)
each-col ↔️ (1)
reprex (1)
vctrs ↗️ (1)
upkeep (1)
Pull Request Labels
Packages
- Total packages: 2
-
Total downloads:
- cran 1,554,374 last-month
- Total docker downloads: 154,115,341
-
Total dependent packages: 4,675
(may contain duplicates) -
Total dependent repositories: 20,401
(may contain duplicates) - Total versions: 87
- Total maintainers: 1
cran.r-project.org: dplyr
A Grammar of Data Manipulation
- Homepage: https://dplyr.tidyverse.org
- Documentation: http://cran.r-project.org/web/packages/dplyr/dplyr.pdf
- License: MIT + file LICENSE
-
Latest release: 1.1.4
published over 2 years ago
Rankings
Dependent repos count: 0.0%
Dependent packages count: 0.0%
Forks count: 0.0%
Downloads: 0.0%
Stargazers count: 0.0%
Average: 2.9%
Docker downloads count: 17.3%
Maintainers (1)
Last synced:
6 months ago
proxy.golang.org: github.com/tidyverse/dplyr
- Documentation: https://pkg.go.dev/github.com/tidyverse/dplyr#section-documentation
- License: other
-
Latest release: v1.1.4
published over 2 years ago
Rankings
Dependent packages count: 5.5%
Average: 5.7%
Dependent repos count: 5.9%
Last synced:
6 months ago
Dependencies
.github/workflows/R-CMD-check.yaml
actions
- actions/checkout v2 composite
- r-lib/actions/check-r-package v2 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/pkgdown.yaml
actions
- JamesIves/github-pages-deploy-action 4.1.4 composite
- actions/checkout v2 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/pr-commands.yaml
actions
- actions/checkout v2 composite
- r-lib/actions/pr-fetch v2 composite
- r-lib/actions/pr-push v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/test-coverage.yaml
actions
- actions/checkout v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-r-dependencies v2 composite
DESCRIPTION
cran
- R >= 3.4.0 depends
- R6 * imports
- cli >= 3.4.0 imports
- generics * imports
- glue >= 1.3.2 imports
- lifecycle >= 1.0.3 imports
- magrittr >= 1.5 imports
- methods * imports
- pillar >= 1.5.1 imports
- rlang >= 1.0.6 imports
- tibble >= 2.1.3 imports
- tidyselect >= 1.2.0 imports
- utils * imports
- vctrs >= 0.5.0 imports
- DBI * suggests
- Lahman * suggests
- RMySQL * suggests
- RPostgreSQL * suggests
- RSQLite * suggests
- bench * suggests
- broom * suggests
- callr * suggests
- covr * suggests
- dbplyr >= 2.2.1 suggests
- ggplot2 * suggests
- knitr * suggests
- lobstr * suggests
- microbenchmark * suggests
- nycflights13 * suggests
- purrr * suggests
- rmarkdown * suggests
- stringi >= 1.7.6 suggests
- testthat >= 3.1.5 suggests
- tidyr * suggests
- withr * suggests