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A5: Asmt#5: Data science project data
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4. Data science project data
This assignment continues the data science proposal.
5. Requirements
Find one or more data sources for your project idea.
Document the sources in terms of links, textual description, etc.
Include a description as to how you will do the following.
Acquire the data (web scraping, download, etc.)
Transform the data.
Store the data representation needed.
Include at most 10 rows in your document of data that would be useful for analysis. For now, the rows can be constructed manually, but some automated method would eventually be used.
6. Submission
Submit a document in docx format (Open XML Document).
The document should be from 2 to 3 pages - which can include some data examples, links, and/or images.
7. Style guidelines
The main title should be at the top in H1 style.
Section titles should be in H2 style.
Subsections titles should be in H3 style.
All program or command or command output text should be in a fixed font such as "Courier New".
All text should be in a serif font such as "Times New Roman".
If you use LibreOffice or OpenOffice instead of Microsoft Office you need to export your document file to the type docx and not the native format. Use the appropriate "Save As" command.
8. Scoring rubric
CS 496 - A5 : Asmt#5: Data science project data
Your grade: _ / 30
[LATE] Late or redo penalty: _ / -30
[STYLE] Style: _ / -5
[INTRO] Introduction: _ / 5
[DATASOURCES] Data sources: _ / 5
[DATAREFS] Data references: _ / 5
[DATAEXAMPLES] Data examples: _ / 5
[CONCLUSION] Conclusion: _ / 5
[REFS] References: _ / 5
[CREDIT] Extra credit: _ / +6
Comments:
9. Scoring rubric
CS 496 - A5 : Asmt#5: Data science project data
Your grade: _ / 30
[LATE] Late or redo penalty: _ / -30
[SUBMIT] Not submitted properly: _ / -30
[CREDIT] Extra credit: _ / +6
Comments:
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