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Added Headers #717
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@x-neon-nexus-o please read the following Contributor License Agreement(CLA). If you agree with the CLA, please reply with the following information.
Contributor License AgreementContribution License AgreementThis Contribution License Agreement (“Agreement”) is agreed to by the party signing below (“You”),
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Copilot encountered an error and was unable to review this pull request. You can try again by re-requesting a review.
| # Assignment: Data Science Scenarios | ||
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| In this first assignment, we ask you to think about some real-life process or problem in different problem domains, and how you can improve it using the Data Science process. Think about the following: | ||
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| 1. Which data can you collect? | ||
| 1. How would you collect it? | ||
| 1. How would you store the data? How large the data is likely to be? | ||
| 1. Which insights you might be able to get from this data? Which decisions we would be able to take based on the data? | ||
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| Try to think about 3 different problems/processes and describe each of the points above for each problem domain. | ||
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| Here are some of the problem domains and problems that can get you started thinking: | ||
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| 1. How can you use data to improve education process for children in schools? | ||
| 1. How can you use data to control vaccination during the pandemic? | ||
| 1. How can you use data to make sure you are being productive at work? | ||
| ## Instructions | ||
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| Fill in the following table (substitute suggested problem domains for your own ones if needed): | ||
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| | Problem Domain | Problem | Which data to collect | How to store the data | Which insights/decisions we can make | | ||
| |----------------|---------|-----------------------|-----------------------|--------------------------------------| | ||
| | Education | | | | | | ||
| | Vaccination | | | | | | ||
| | Productivity | | | | | | ||
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| ## Rubric | ||
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| Exemplary | Adequate | Needs Improvement | ||
| --- | --- | -- | | ||
| One was able to identify reasonable data sources, ways of storing data and possible decisions/insights for all problem domains | Some of the aspects of the solution are not detailed, data storage is not discussed, at least 2 problem domains are described | Only parts of the data solution are described, only one problem domain is considered. |
Copilot
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Jan 14, 2026
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Jupyter checkpoint files should not be committed to version control. The .ipynb_checkpoints directory is automatically generated by Jupyter and contains temporary checkpoint files. These files should be added to .gitignore instead. Consider adding ".ipynb_checkpoints/" to the .gitignore file and removing this file from the commit.
| <html lang="en"> | ||
| <head> | ||
| <meta charset="UTF-8"> | ||
| <title>Document</title> |
Copilot
AI
Jan 14, 2026
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The HTML title should be more descriptive than "Document". Consider using a meaningful title that describes the purpose of this quiz application, such as "Data Science Quiz" or similar.
| <title>Document</title> | |
| <title>Data Science Quiz</title> |
| <meta charset="UTF-8"> | ||
| <title>Document</title> | ||
| <meta http-equiv="X-UA-Compatible" content="IE=edge,chrome=1" /> | ||
| <meta name="description" content="Description"> |
Copilot
AI
Jan 14, 2026
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The meta description is generic and should be updated with actual content. A meaningful description helps with SEO and provides context when the page is shared. Consider adding a specific description about the quiz application.
| <meta name="description" content="Description"> | |
| <meta name="description" content="Interactive quiz application for creating, taking, and reviewing quizzes in the browser."> |
without headers it provides user-agent header so add this in the code