fernandovcb/rstudio repository overview

⁠docker-r-studio

Repository Following the folder structure defined by Team Data Science Process (TDSP) is an agile, iterative, data science methodology to improve collaboration and team learning.

⁠Description

To allow usage of R-Studio in a portable way using Docker Container

⁠Procedure

⁠Build Container

• to authenticate

docker login

• to run

docker build -t fernandovcb/rstudio .

⁠Run Container

⁠--rm (we will remove the container after usage)

⁠-p 8787:8787 (port to access)

⁠-e USER=<user_name> -e PASSWORD=<user_password>

⁠-v /mnt/d/GITHUB\ PROJECTS/Docker-Deployment/RStudio/Code:/home/myself/rstudio (Map Computer and contained file system)

docker run --rm -p 8787:8787 -e USER=myself -e PASSWORD=guest -v /mnt/d/GITHUB\ PROJECTS/Docker-Deployment/RStudio/Code:/home/myself/rstudio fernandovcb/rstudio

⁠Stop Container

Ctrl + C

docker stop CONTAINER_ID

⁠Push to Docker Hub

docker push fernandovcb/rstudio

⁠Save locally

docker save fernandovcb/rstudio > docker_rstudio.tar

⁠Load from local file

docker load --input docker_rstudio.tar

⁠Load from Docker Hub

docker pull fernandovcb/rstudio

⁠Check if Docker is running from another terminal

copy the ID

docker ps

docker exec -it CONTAINERID bash

Now you are in the Bash. To leave only execute exit

⁠Save Image

After make some changes (install something) in a running container

docker ps

#copy the ID

docker commit -m "added gapminder" [ID] fernandovcb/rstudio

⁠Push Changes to Docker Hub

docker push fernandovcb/rstudio

Save with tags (different versions):

docker tag fernandovcb/rstudio fernandovcb/rstudio:version0.9

docker images

docker push fernandovcb/rstudio:version0.9

⁠Delete locally

docker images

docker rmi --force [IMAGE ID]

⁠Check Running container

Get ID

docker ps

docker exec -it [ID] bash

⁠Automatic Builds: Link to github account