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The problem to solve

Computer Science

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1. The problem to solve.
2. The data sources to pull from.
3. The tool that will be used (R)
   1. Note high level graphics that will be used to solve the problem and how they will be used.

***High level, one page proposal - can submit through course messages or email. By end of session on Friday. 

On Saturday, teams will reconvene and complete the following:

1. There must be a through data plan this includes:
   1. Where the data is online
   2. How you know the data is accurate and the plan for ensuring accuracy.
   3. An import of the data into the selected tool.
2. A paper that includes:
   1. The data plan mentioned above
   2. The problem- note the description and why it’s a problem and how you are going to make a recommendation with the data presented.
   3. The analysis of why the data will solve the issue.
   4. Graphical representation and formulas.  The screenshots of the formulas in the tool must be present. 
   5. A summary of the consideration and evaluation of results
      1. This includes your teams’ final analysis of the problem and the resolution.

Note: The paper and data sheet (this is the raw data that will be imported into the tool) must be turned in before the end of the day on Saturday.