% Day 26: Open Data Talk by Lisa Green % Raymond Yee % April 24, 2014 (http://is.gd/wwod1426)
I will be advertising the Open House for the course at the end of this week. Please provide me a title and a short blurb (minimally, 75 words and not more 150 words) describing your project that I can use to advertise your work by Friday, April 25, 2014 at noon PDT. Include a URL that points to where people will be able to find your completed IPython notebook. Please get your notebooks in (more or less) final presentable form by Monday May 5, 2014 noon. (You can start with a placeholder notebook with your abstract.)
Place your project abstract at Abstracts.
It might be helpful for me to write down what I have said in class about my expectations for the projects.
In your presentation, I would like to see the following:
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a clear articulation of what problem you are solving with your project
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a clear description of what you proposed to do and what you ended up doing, describing what led you to go from what you proposed to what you ended up doing
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a description of what is behind-the-scenes: what sources of data are you drawing from and how you are analyzing your data
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if you were to continue your project beyond the course, what would you do
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(optionally) a quick demo of your project
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We will have 10 minutes total/project -- 5 minutes of presentation + 5 minutes of Q&A/discussion.
- List any questions you have about the project.
- List a couple of aspects about the project that were done particularly well.
- Provide one or two suggestions about possible improvements or next steps for the project.
Your final IPython notebook is due at the beginning of class on Day 29 (May 6, 2014). I would like both a digital and paper copy of your notebook.
In your report please include the following:
- a clear articulation of what problem you are solving with your project
- a clear description of what you proposed to do and what you ended up doing, describing what led you to go from what you proposed to what you ended up doing
- a thorough description of what is behind-the-scenes: what sources of data are you drawing from and how, how you are analyzing your data as well as the code to analyze your data.
- a clear description of your results and how to reproduce your results.
- if you were to continue your project beyond the course, what would you do
- a paragraph that outlines how you split the work among group members and which describes your individual contributions to the work.
On the last day, we will host an open house on May 6, 2014 from 2:10 to 3:30 pm in 202 South Hall. It's an open house. I'll be inviting people from the I School and the larger community. Feel free to invite your friends to attend. Light refreshments will be served.
Today, Lisa Green, Director of CommonCrawl and Former Chief of Staff at Creative Commons. She has also been a key participant in Open Data Bay Area (San Francisco, CA) - Meetup.
About CommonCrawl:
Common Crawl Foundation is a California 501(c)(3) registered non-profit founded by Gil Elbaz with the goal of democratizing access to web information by producing and maintaining an open repository of web crawl data that is universally accessible and analyzable.