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Community Data Science Workshops (Spring 2014)/Reflections
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=== Lecture === Because much of our analysis was going to take place outside of Python, the lecture focused on review and on new concept for data manipulation. The lecture began with a detailed walk-through of code [[User:Mako|Mako]] wrote to build a dataset of metadata for all revisions to articles about [https://en.wikipedia.org/wiki/Harry_Potter Harry Potter] on English Wikipedia. After this review, we focused on counting, binning, and grouping data in order to ask and answer simple questions like: * What proportion of edits to ''Harry Potter'' articles are minor? * What proportion of edits to ''Harry Potter'' articles are made by "anonymous" contributors? * What are the most edited ''Harry Potter'' articles? * Who are the most active editors on ''Harry Potter'' articles? Becuse it did not require installation of software and because it ran on every platform, we did sorting and visualization in [http://docs.google.com Google Docs].
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