Editing Community Data Science Course (Spring 2023)
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For your final project, I expect you to build on the first two assignments to describe what they have done and what you have found. I'll expect every student to give both: | For your final project, I expect you to build on the first two assignments to describe what they have done and what you have found. I'll expect every student to give both: | ||
# A short presentation ( | # A short presentation (7 minutes) | ||
# A final report that is not more than 4500 words (~18 pages) | # A final report that is not more than 4500 words (~18 pages) | ||
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:'''Due Date:''' Thursday June 8 at 11:59 p.m. | :'''Due Date:''' Thursday June 8 at 11:59 p.m. | ||
:'''Turning in:''' Turn in a PDF of your paper to [https://canvas.uw.edu/courses/1633288/assignments/8231894 the Canvas dropbox]; | :'''Turning in:''' Turn in a PDF of your paper to [https://canvas.uw.edu/courses/1633288/assignments/8231894 the Canvas dropbox]; Details on how to turn in your code will be {{forthcoming}}. | ||
Your final project should include detailed information on: | Your final project should include detailed information on: | ||
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Keep in mind that most stories on Five Thirty Eight are under 1000 words and I'm giving up to 4,500 words to show me what you've learned. As a result, you should do ''more'' than FiveThirtyEight does in a single story. You can ask and answer more questions, you can provide more background, context, and justification, you can provide more details on your methods and data sources, you can show us more graphs, you can discuss the implications of your findings more. Use the space I've given you to show off what you've done and what you've learned! | Keep in mind that most stories on Five Thirty Eight are under 1000 words and I'm giving up to 4,500 words to show me what you've learned. As a result, you should do ''more'' than FiveThirtyEight does in a single story. You can ask and answer more questions, you can provide more background, context, and justification, you can provide more details on your methods and data sources, you can show us more graphs, you can discuss the implications of your findings more. Use the space I've given you to show off what you've done and what you've learned! | ||
Finally, you should also share with me the full Python source code you used to collect the data as well as the data set itself. Your code | Finally, you should also share with me the full Python source code you used to collect the data as well as the data set itself. Your code along will not form a large portion of your final grade. Rather, I will focus on the degree to which you have been successful at answering the ''substantive'' questions you have identified. | ||
Visualization is critical to storytelling, so 25% of your grade for this project will be determined by the visualizations and tables in your report. Good visualizations should "stand alone" and motivate the core results in your paper all by themselves. A good question to keep in mind is "could I tell this story with the visualizations and a tweet?" | Visualization is critical to storytelling, so 25% of your grade for this project will be determined by the visualizations and tables in your report. Good visualizations should "stand alone" and motivate the core results in your paper all by themselves. A good question to keep in mind is "could I tell this story with the visualizations and a tweet?" | ||
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== Grades == | == Grades == | ||
Assignments will accrue to your final grade in the following way: | Assignments will accrue to your final grade in the following way: | ||
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We'll be transitioning into a focus on the final projects and trying to build time into class to make real progress on the programming and data collection part of your final projects. | We'll be transitioning into a focus on the final projects and trying to build time into class to make real progress on the programming and data collection part of your final projects. | ||
'''Resources:''' | '''Resources:''' | ||
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Today we'll be talking about doing data visualization in a range of tools in Python. | Today we'll be talking about doing data visualization in a range of tools in Python. | ||
'''Class schedule:''' | '''Class schedule:''' | ||
* Project time—We'll | * Up to three new topics in parallel | ||
* Project time—We'll work through projects | |||
=== Week 10: May 29 (NO MEETING) === | === Week 10: May 29 (NO MEETING) === |