Community Data Science Workshops (Spring 2014)/Saturday May 31st projects: Difference between revisions

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There will be three options:
There will be three options:


* '''Option 1:''' Data munging and visualization using Python and Google Docs — This talk will continue directly from lecture and we will use the same dataset of the metadata from all the Wikipedia articles about Harry Potter.
* '''Option 1:'''
* '''Option 2:''' [[Community_Data_Science_Workshops/Saturday_May_31st_Matplotlib_Session|Data visualization with Matplotlib]], with examples from analysis using the gender of subjects of 180,000 biography articles on Wikipedia
* '''Option 2:''' [[Community_Data_Science_Workshops/Saturday_May_31st_Matplotlib_Session|Data visualization with Matplotlib]] — In this session we will focus on making beautiful and nuanced plots using a powerful graphing library within Python. We'll be using a dataset with examples from analysis using the gender of subjects of 180,000 biography articles on Wikipedia
* '''Option 3:''' Self-directed project room. If you have an idea for a project to build or analyze a dataset and you think you can work 70-80% indepedently on it, this is the room for you. Mentors will be around to help you as you get stuck and to give you advice!
* '''Option 3:''' ''Self-directed project room:'' If you have an idea for a project to build or analyze a dataset and you think you can work 70-80% indepedently on it, this is the room for you. Mentors will be around to help you as you get stuck and to give you advice!

Revision as of 13:10, 31 May 2014

There will be three options:

  • Option 1: Data munging and visualization using Python and Google Docs — This talk will continue directly from lecture and we will use the same dataset of the metadata from all the Wikipedia articles about Harry Potter.
  • Option 2: Data visualization with Matplotlib — In this session we will focus on making beautiful and nuanced plots using a powerful graphing library within Python. We'll be using a dataset with examples from analysis using the gender of subjects of 180,000 biography articles on Wikipedia
  • Option 3: Self-directed project room: If you have an idea for a project to build or analyze a dataset and you think you can work 70-80% indepedently on it, this is the room for you. Mentors will be around to help you as you get stuck and to give you advice!