vnijs/radiant

By vnijs

Updated almost 4 years ago

Radiant: Business Analytics using R and Shiny

Image

50K+

Radiant: Business Analytics using R and Shiny

This repo contains information to setup a dockerized instance of R, Rstudio, Shiny, and Radiant.

Install docker

After installing Docker check that it is running by typing docker --version in a terminal which should return something like the below:

docker --version
Docker version 18.06.1-ce, build e68fc7a

Run the docker image

Use the command below from a (bash) terminal

docker run --rm -p 8181:8181 -p 8787:8787 -v ~:/home/jovyan vnijs/radiant

Then navigate to localhost:8181 to open Radiant and localhost:8787 to open Rstudio. This image forms the basis for vnijs/rsm-msba which adds Python (3.6), Jupyter Lab, and Postgres and vnijs/rsm-msba-spark which further adds Spark and Hadoop. See https://hub.docker.com/r/vnijs/rsm-msba/ and https://hub.docker.com/r/vnijs/rsm-msba-spark/

For Rstudio login information see https://github.com/radiant-rstats/docker/blob/master/install/rsm-msba-linux.md

Source

The source code for the docker container is available at https://github.com/radiant-rstats/docker

Trademarks

  • Shiny and Shiny Server are registered trademarks of RStudio, Inc. The use of the trademarked terms Shiny and Shiny Server and the distribution of the Shiny Server through the images hosted on hub.docker.com has been granted by explicit permission of RStudio. Please review RStudio's trademark use policy and address inquiries about further distribution or other questions to permissions@rstudio.com.
  • Jupyter is distributed under the BSD 3-Clause license (Copyright (c) 2017, Project Jupyter Contributors)

Docker Pull Command

docker pull vnijs/radiant