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README.md

Project 7 (P7): Drinking Water Accessibility

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Instructions:

This project will focus on utilizing lists and managing dictionaries. To start, download p7.ipynb, p7_test.py, and water_accessibility.csv.

Note: Please go through lab-p7 before you start the project. The lab contains some very important information that will be necessary for you to finish the project.

You will work on p7.ipynb and hand it in. You should follow the provided directions for each question. Questions have specific directions on what to do and what not to do.

After you've downloaded the file to your p7 directory, open a terminal window and use cd to navigate to that directory. To make sure you're in the correct directory in the terminal, type pwd. To make sure you've downloaded the notebook file, type ls to ensure that p7.ipynb, p7_test.py, and water_accessibility.csv are listed. Then run the command jupyter notebook to start Jupyter, and get started on the project!

IMPORTANT: You should NOT terminate/close the session where you run the above command. If you need to use any other Terminal/PowerShell commands, open a new window instead. Keep constantly saving your notebook file, by either clicking the "Save and Checkpoint" button (floppy disk) or using the appropriate keyboard shortcut.

IMPORTANT Submission instructions:

  • Review the Grading Rubric, to ensure that you don't lose points during code review.

  • You must save your notebook file before you run the cell containing export.

  • Login to Gradescope and upload the zip file into the p7 assignment.

  • If you completed the project with a partner, make sure to add their name by clicking "Add Group Member" in Gradescope when uploading the p6 zip file.

  • It is your responsibility to make sure that your project clears auto-grader tests on the Gradescope test system. Otter test results should be available in a few minutes after your submission. You should be able to see both PASS / FAIL results for the 20 test cases and your total score, which is accessible via Gradescope Dashboard (as in the image below):

  • If you feel you have been incorrectly graded on a particular question during manual review, then you can find more about the Regrade Request process here.