R development using Jupyter

This section explains you how to use Jupyter for R-Development.

  1. Once the VM is up and running, SSH to VM and run below command to set the password for ubuntu user.

  2. sudo passwd ubuntu


  3. To access jupyter go to http://VM_Public_IP . Login using ubuntu user and provide password set in the above step.

  4. /img/common/jupyterhub_signin.png

  5. This will log you as an ubuntu user to the jupyter notebook.

  6. /img/gcp/r-studio-support/jupyter_home_page.png

  7. You can create new R Notebooks and run your code. To create new Notebook, click on New and select R from dropdown menu.

  8. /img/gcp/r-studio-support/r-jupyter-new-notebook.png

  9. It will create untitled Notebook in new tab. Click on Untitled to rename this Notebook
  10. /img/gcp/r-studio-support/rename-untitled-notebook.png

  11. Write your code in the cell.To run the code, select the cell then select Run or use the keyboard shortcut CTRL+ENTR
  12. /img/gcp/r-studio-support/running-r-cell.png

  13. Let's display iris table with the library(dplyr)

  14. /img/gcp/r-studio-support/display-iris-table.png

  15. We can create scatter plot using ggplot2 library.
  16. /img/gcp/r-studio-support/scatter-plot.png

  17. You have different option to stop, restart, run all, shutdown kernel in the kernel dropdown menu.

  18. /img/gcp/r-studio-support/kernel-option.png

  19. asterisk (*) in any cell shows that cell is running. Solid cirlce next to R shows that kernel is busy.

  20. /img/gcp/r-studio-support/kernel-running.png

    This way you can create your own R Notebooks in jupyter and run the code.