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* Author: Zack Galbreath * Software used: Mac OS 10.6, Python 2.6.1, SQLite 3.6.12, PycURL 7.19.0, BeautifulSoap 3.2.0, Pipermail 0.09 (Mailman edition). * Project home: git://github.com/zackgalbreath/MailingListData.git * MD5 checksum of the "official" database file is: c17555700f3c9f0a019be6a537f83bc6 == Contents == README: The document you're currently reading MailingListData.{db,csv,xlsx}: My dataset, in SQLite, comma-separated-values, and Microsoft Excel 2007-2008 format collectData.py: Generates the dataset and stores it in an SQLite database convertSQLiteToCSV.py: Converts the SQLite database to CSV format == Usage notes == * Running collectData.py will overwrite an existing MailingListData.db If you modify the database and wish to keep your changes, you should rename it or save it somewhere else. * Similarly, convertSQLiteToCSV.py overwrites MailingListData.csv. == Details about the columns == * When recording Message_Subject, any tab character was converted to a single space. * A Received_Reply of "self only" means that the original author was the only person to reply to the message. * Time_of_Day is recorded in EDT using a 24 hour clock. * Message_Length is the number of characters in the HTML source of Archive_URL. * Any_Attachments is set to "yes" when we detect a "non-text" attachment that is not a "pgp-signature". Note that Pipermail considers C++ source code (MIME-type text/x-c++src) to be a "non-text" attachment. * You should be able to read each original email in its entirety at its Archive_URL. This list of URLs was taken from: http://www.itk.org/pipermail/insight-users/2011-August/thread.html
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data science project fall 2011
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