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Mini Project1 - Text Analysis

Please read the entire assignment.

Workflow

  1. To start, fork repository github.com/fdac22/MiniProject1

    1. Go to github.com/fdac22/MiniProject1
    2. Click on "Fork Repository" button
    3. Select your GitHubID as the organization to fork to
    4. Go to Settings and enable issue tracking
  2. Connect to your docker container

  3. Clone the forked repository to your docker container

    git clone https://github.com/YourGHUsername/MiniProject1
    
  4. Copy Miniproject1.ipynb to YourUTKID.ipynb

    ```
    git add YourUTKID.ipynb
    git commit -m "YOUR commit message"
    ```
    
  5. Now back in the shell Push/sync the changes to github.

    git push

  6. At https://github.com/YourGHUsername/Miniproject1 Create a pull request on the original repository fdac22/Miniproject1 to turn in the assignment.

Social Workflow with deadlines

  1. Do the first four steps listed above before the class on Sep 8: if you have any issues, we need to clarify them before Sep 8.
  2. Come up with an idea of what analysis you are going to use and what data sources you will use. Discuss it with your assigned peer on Sep 8. You present the idea to your peer next to you in the list of groups and you produce a comment for the peer before you in the group list below. The first person comments on the presentation of the last person and the last presents to the first. To access your peer's forked repository, manually enter the url: https://github.com/YourPeersGHUsername/Miniproject1 The mapping of the GH ids to UTK IDs is in https://github.com/fdac22/students/blob/master/NetID2GHID.md

When you raise an issue, you should assign it to the GHUSER who should comment on it.

  1. Start doing the analysis and discuss your progress with your peer so that you are done before class on Sep 10. In case you encounter any problems retrieving, storing, or analyzing data please discuss them with your peer and, if needed, escalate.
  2. Prepare a few slides (or a jupyter notebook) explaining the approach and findings and present to a small group as specified below.
  3. We will have the entire class on Sep 13 for you to practice presentations in several groups as shown in https://github.com/fdac22/students/blob/master/TeamingAnalysis.ipynb

At the end of the presentations within the group a vote will be held (by that group) for one presentation to be selected for the presentation to the entire class. The first person listed in each group will record that in the issue fdac22#1

What operational data traces are expected

  1. I expect you to make at least one commit (in your cloned repo) by Sep 8 and at least three by Sep 13.
  2. Each interaction with your peer should result in an issue that describes your peers comments. You should raise at least one issue against your peers repository peer/Miniproject1 (see above), and you should make at least one commment on the issue raised against your fork (you/Miniproject1).

Presentations should include

  • What is the question?
  • What was the approach?
  • What problems did I encounter?
  • What results did I get?
  • What new ideas did this generate?

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  • Jupyter Notebook 100.0%