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Community Data Science Workshops (Spring 2015)/Day 3 lecture
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== Lecture outline == * My philosophy about data analysis: ''use the tools you have'' * Four things in Python I have to teach you: ** while loops *** infinite loops *** loops with a greater than or less than ** break / continue ** string.join() ** defining your own functions with <code>def foo(argument):</code> * Walk-through of <code>get_hpwp_dataset.py</code> * Look at dataset with <code>more</code> and/or in spreadsheet * Load data into Python ** review of opening files *** we can also open them for reading ** csv module and and csv.reader() function ** csv.DictReader() * Basic counting ** Answer question: ''What proportion of edits to Wikipedia Harry Potter articles are minor?'' *** Count the number of minor edits and calculate proportion * Looking at time series data ** "Bin" data by day to generate the trend line * Exporting and visualizing data ** Export dataset on edits over time ** Export dataset on articles over users ** Load data into Google Docs We mostly worked on these questions in the afternoon: * More advanced counting ** Answer question: ''What are the most edited articles on Harry Potter?'' *** Count the number of edits per articles ** Answer question: ''Who are the most active editors on articles in Harry Potter?'' *** Count the number of edits per user [[Category:Spring_2015_series]]
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