vnijs/radiant repository overview

⁠Radiant: Business Analytics using R and Shiny

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

⁠Install docker

• For Mac: https://docs.docker.com/docker-for-mac/⁠
• For Windows: https://docs.docker.com/docker-for-windows/⁠
• For Linux: https://docs.docker.com/engine/installation/⁠

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 [email protected]⁠.
• Jupyter is distributed under the BSD 3-Clause license (Copyright (c) 2017, Project Jupyter Contributors)