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https://github.com/terrytangyuan/autoplotly

Automatic Generation of Interactive Visualizations for Statistical Results
https://github.com/terrytangyuan/autoplotly

data-visualization ggplot2 interactive-visualizations machine-learning plotly plotlyjs rstats statistics

Last synced: 5 days ago
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Automatic Generation of Interactive Visualizations for Statistical Results

Host: GitHub
URL: https://github.com/terrytangyuan/autoplotly
Owner: terrytangyuan
Created: 2018-01-07T23:47:54.000Z (almost 7 years ago)
Default Branch: master
Last Pushed: 2023-07-07T16:54:22.000Z (over 1 year ago)
Last Synced: 2024-10-23T10:10:16.302Z (14 days ago)
Topics: data-visualization, ggplot2, interactive-visualizations, machine-learning, plotly, plotlyjs, rstats, statistics
Language: R
Homepage:
Size: 3.49 MB
Stars: 88
Watchers: 13
Forks: 10
Open Issues: 1
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md

Awesome Lists containing this project

README

        **Note**: This package has been maintained by [@terrytangyuan](https://github.com/terrytangyuan) since 2017. Please [consider sponsoring](https://github.com/sponsors/terrytangyuan)!

[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/autoplotly)](https://cran.r-project.org/package=autoplotly)

[![DOI](https://zenodo.org/badge/116608209.svg)](https://zenodo.org/badge/latestdoi/116608209)

[![DOI](http://joss.theoj.org/papers/10.21105/joss.00657/status.svg)](https://doi.org/10.21105/joss.00657)

# autoplotly

This R package provides functionalities to automatically generate interactive visualizations for many

popular statistical results supported by [ggfortify](https://github.com/sinhrks/ggfortify)

package with [plotly.js](https://plot.ly) and [ggplot2](http://ggplot2.tidyverse.org/) style.

The generated visualizations can also be easily extended using ggplot2 syntax while staying interactive. 

![autoplotly-demo](images/autoplotly-demo.gif)

You can play the examples interactively [here](https://terrytangyuan.github.io/2018/02/12/autoplotly-intro/).

## Installation

To install the current version from CRAN, use:

``` r

install.packages("autoplotly")

```

To install from development version on Github, use:

``` r

devtools::install_github("terrytangyuan/autoplotly")

```

## Example

``` r

# Automatically generate interactive plot for results produced by `stats::prcomp`

p <- autoplotly(prcomp(iris[c(1, 2, 3, 4)]), data = iris,

  colour = 'Species', label = TRUE, label.size = 3, frame = TRUE)

# You can apply additional ggplot2 elements to the generated interactive plot

p +

  ggplot2::ggtitle("Principal Components Analysis") +

  ggplot2::labs(y = "Second Principal Components", x = "First Principal Components")

# Or apply additional plotly elements to the generated interactive plot

p %>% plotly::layout(annotations = list(

  text = "Example Text",

  font = list(

    family = "Courier New, monospace",

    size = 18,

    color = "black"),

  x = 0,

  y = 0,

  showarrow = TRUE))

```

You can `autoplotly` many other statistical results automatically with the help of [ggfortify](https://github.com/sinhrks/ggfortify). A complete list can be found [here](https://github.com/sinhrks/ggfortify#coverage).

## Reference/Citation

To cite `autoplotly` in publications, please use the following (available via `citation("autoplotly")`):

> Yuan Tang (2018). autoplotly: An R package for automatic generation of interactive visualizations for statistical results. Journal of Open Source Software, 3(24), 657, https://doi.org/10.21105/joss.00657

> 

> Yuan Tang, Masaaki Horikoshi, and Wenxuan Li (2016). ggfortify: Unified Interface to Visualize Statistical Result of Popular R Packages. The R Journal, 8.2, 478-489.