Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/plotly/dashR
Create data science and AI web apps in R
https://github.com/plotly/dashR
dash data-science data-visualization plotly plotly-dash python r react web-application
Last synced: 10 days ago
JSON representation
Create data science and AI web apps in R
- Host: GitHub
- URL: https://github.com/plotly/dashR
- Owner: plotly
- License: other
- Created: 2017-08-23T19:35:29.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2024-06-14T15:59:07.000Z (5 months ago)
- Last Synced: 2024-08-01T00:48:28.273Z (3 months ago)
- Topics: dash, data-science, data-visualization, plotly, plotly-dash, python, r, react, web-application
- Language: JavaScript
- Homepage: https://dashr.plotly.com
- Size: 62.2 MB
- Stars: 382
- Watchers: 26
- Forks: 33
- Open Issues: 51
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- Funding: .github/FUNDING.yml
- License: LICENSE
- Codeowners: .github/CODEOWNERS
Awesome Lists containing this project
- jimsghstars - plotly/dashR - Create data science and AI web apps in R (JavaScript)
README
[](https://app.circleci.com/pipelines/github/plotly/dashR?branch=master)
[](https://github.com/plotly/dashR/blob/master/LICENSE)
[](https://CRAN.R-project.org/package=dash)
[](https://CRAN.R-project.org/package=dash)
[](https://CRAN.R-project.org/package=dash)
# Dash for R
#### Create beautiful, analytic web applications in R.
[Documentation](https://dash.plotly.com/r/) | [Gallery](https://dash.gallery/Portal/)
## Installation
> 🛑 Make sure you're on at least version `3.0.2` of R. You can see what version of R you have by entering `version` in the R CLI. [CRAN](https://cran.r-project.org/bin/) is the easiest place to download the latest R version.
As of 2020-06-04, **dash** and the currently released versions of all core component libraries are _available for download via CRAN!_ Installing `dash` and its dependencies is as simple as
```r
install.packages("dash")
```
Users who wish to install (stable) development versions of the package as well as Dash components from GitHub may instead use `install_github` and specify the development branch:
```r
install.packages(c("fiery", "routr", "reqres", "htmltools", "base64enc", "plotly", "mime", "crayon", "devtools"))
# installs dash, which includes dashHtmlComponents, dashCoreComponents, and dashTable
# and will update the component libraries when a new package is released
devtools::install_github("plotly/dashR", ref="dev", upgrade = TRUE)
```
Then, to load the packages in R:
```r
library(dash)
```
That's it!
## Getting Started
The R package **dash** makes it easy to create reactive web applications powered by R. It provides an [R6](https://CRAN.R-project.org/package=R6) class, named `Dash`, which may be initialized via the `new()` method.
```r
library(dash)
app <- Dash$new()
```
Similar to [Dash for Python](https://github.com/plotly/dash) and [Dash for Julia](https://github.com/plotly/Dash.jl), every Dash for R application needs a layout (i.e., user interface) and a collection of callback functions which define the updating logic to perform when input value(s) change. Take, for instance, this basic example of formatting a string:
```r
library(dash)
dash_app() %>%
set_layout(
dccInput(id = "text", "sample"),
div("CAPS: ", span(id = "out1")),
div("small: ", span(id = "out2"))
) %>%
add_callback(
list(
output("out1", "children"),
output("out2", "children")
),
input("text", "value"),
function(text) {
list(
toupper(text),
tolower(text)
)
}
) %>%
run_app()
```
Here the `showcase = TRUE` argument opens a browser window and automatically loads the Dash app for you.
## Hello world example using `dccGraph`
```r
library(dash)
# Create a Dash app
app <- dash_app()
# Set the layout of the app
app %>% set_layout(
h1('Hello Dash'),
div("Dash: A web application framework for your data."),
dccGraph(
figure = list(
data = list(
list(
x = list(1, 2, 3),
y = list(4, 1, 2),
type = 'bar',
name = 'SF'
),
list(
x = list(1, 2, 3),
y = list(2, 4, 5),
type = 'bar',
name = 'Montr\U{00E9}al'
)
),
layout = list(title = 'Dash Data Visualization')
)
)
)
# Run the app
app %>% run_app()
```
---
## Screenshot of "Hello World" app
