Community Data Science Workshops (Fall 2014)/Day 3 lecture

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Material for the lecture

For the lecture, you will need two files. Download both of these to your computer by using right or control click on the link and then using Save as or Save link as. Keep track of where you put the files.

• http://mako.cc/teaching/2014/cdsw-autumn/build_hpwp_dataset.py
• http://nada.com.washington.edu/~mako/hp_wiki.csv

Overview of the day

• Lecture
  • Our philosophy around data visualization
  • Introduce some new programming tools!
  • We're going to walk through some analysis of edits to Harry Potter in Wikipedia, start to finish
  • We'll focus on manipulating data in Python
  • Visualizing things in Google Docs
• Lunch (vegetarian Greek!)
• Project based work
  • Project and challenge based continuition of the work in here focusing on Google Docs
  • Matplotlib!
  • Room for you to to work on your projects!
• Wrap-up!

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 def foo(argument):
• Walk-through of get_hpwp_dataset.py
• Look at dataset with more 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