PRODUCTS AND SUPPORT


R development using Jupyter


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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

    /img/gcp/r-studio-support/ssh-passwd.png


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

    3. /img/common/jupyterhub_signin.png


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

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



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

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


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



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



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

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



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



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

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



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

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



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


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