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  1. Create a repository on GitHub for the class, and place the environment configuration information (see below), programs and data files (if any) that will be used as teaching materials.
    • In this example, we will use https://github.com/ikfj/ds-polimetrics as the repository for the class.
    • In this repository, apt.txt and environment.yml are the environment configuration information and prepare.r is the teaching program.
    • Depending on the repository you are actually using, you may need to change the following description.

  2. Open https://binder.cs.rcos.nii.ac.jp/ in your browser.

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  3. Enter the URL of the repository in the [GitHub repository name or URL] field at the top.
  4. Copy the URL that appears under [Copy the URL below and share your Binder with others:]. 
  5. Press the [Launch] button.
  6. Select your institution or OpenIdP in the affiliation selection and click the [Select] button.
  7. Authenticate with your own institution or OpenIdP account.
  8. A new analysis environment for you will be created.

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  9. Give the URL copied in Step 4 to the student.

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  1. Open the URL given by the instructor in your browser.
  2. Select your institution or OpenIdP in the affiliation selection, and click the [Select] button.
  3. Authenticate with your institution's or OpenIdP's account.
  4. A new analysis environment for you will be created.

  5. Click New → RStudio on the right side of Files. RStudio will open in a new tab.

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  6. Follow the instructor's instructions to use RStudio.

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  1. Open https://jupyter.cs.rcos.nii.ac.jp/ in your browser.
  2. Click on the URL under Named Servers. If you have created multiple analysis environments, the URL for each will be displayed.

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To remove an unwanted analysis environment

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