# ggforce

**Repository Path**: tidyfriday/ggforce

## Basic Information

- **Project Name**: ggforce
- **Description**: No description available
- **Primary Language**: Unknown
- **License**: MIT
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2021-03-01
- **Last Updated**: 2024-07-03

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README


<!-- README.md is generated from README.Rmd. Please edit that file -->

# ggforce <img src="man/figures/logo.png" width="121px" height="140px" align="right" style="padding-left:10px;background-color:white;" />

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*Accelerating ggplot2*

`ggforce` is a package aimed at providing missing functionality to
`ggplot2` through the extension system introduced with `ggplot2` v2.0.0.
Broadly speaking `ggplot2` has been aimed primarily at explorative data
visualization in order to investigate the data at hand, and less at
providing utilities for composing custom plots a la
[D3.js](https://d3js.org). `ggforce` is mainly an attempt to address
these “shortcoming” (design choices might be a better description). The
goal is to provide a repository of geoms, stats, etc. that are as well
documented and implemented as the official ones found in `ggplot2`.

## Installation

You can install the released version of ggforce from
[CRAN](https://CRAN.R-project.org) with:

``` r
install.packages("ggforce")
```

And the development version from [GitHub](https://github.com/) with:

``` r
# install.packages("devtools")
devtools::install_github("thomasp85/ggforce")
```

## Features

`ggforce` is by design a collection of features with the only
commonality being their tie to the `ggplot2` API. Because of this an
overview of all features would get too long for a README. The package
has a [website](https://ggforce.data-imaginist.com) where every feature
is described and justified with examples and plots. There should be a
plot in the README of a visualization package though, so without further
ado:

``` r
library(ggforce)
#> Loading required package: ggplot2
ggplot(iris, aes(Petal.Length, Petal.Width, colour = Species)) +
  geom_point() +
  facet_zoom(x = Species == "versicolor")
```

<img src="man/figures/README-example-1.png" width="100%" />

## Code of Conduct

Please note that the ‘ggforce’ project is released with a [Contributor
Code of
Conduct](https://ggforce.data-imaginist.com/CODE_OF_CONDUCT.html). By
contributing to this project, you agree to abide by its terms.