Launch RStudio / Jupyter

To be able to use the FAS OnDemand computing environment for your DataFest project you will need to walk-through a handful of steps. Once completed, you will be running an RStudio or Jupyter session with all necessary packages pre-installed. The FAS OnDemand computing environment is accessed from within Canvas — look for the FAS OnDemand button on the left-side navigation panel. Here are the steps to launch your session:

  1. Click FAS OnDemand in the left-side navigation panel within Canvas.

RStudio

  1. On the Dashboard launcher page, on the left-side panel, click on Rstudio Server - DataFest2021.
  2. On the main panel, click the blue Launch button.

  1. On the Sessions page, click on the blue Connect to RStudio Server button.

  1. You should now have access to RStudio. You can create a new R/Rmarkdown file as usual, or open an existing file.

Jupyter

  1. On the Dashboard launcher page, on the left-side panel, click on Jupyter Notebook - DataFest2021.
  2. On the main panel, click the blue Launch button.

  1. On the Sessions page, click on the blue Connect to Jupyter button.

  1. You should now have access to Jupyter. You can either create a new notebook from the New dropdown on the far right (select the datafest_2021 kernel) or you can navigate to an existing file (after opening the file, select the datafest_2021 kernel from the Kernal menu).