Data Characterization

So, while I reserve the right to monkey with this dataset before I start doing any real analysis, this seems like a good time to describe whose puzzles I have, some of their properties, and the number I ended up getting in my initial download.

Source/Publication	Days of the week available	Latest Date	Earliest Date	Number Downloaded
Boston Globe	SUNDAY	2012-02-19	2008-04-20	200
Chronicle of Higher Education	FRIDAY	2012-02-17	2011-08-12	24
Ink Well	FRIDAY	2012-02-17	2010-01-01	111
I Swear	FRIDAY	2012-02-17	2010-01-01	112
Jonesin'	THURSDAY	2012-02-16	2010-01-07	111
Thomas Joseph	MONDAY - SATURDAY	2012-02-22	2007-06-14	1470
Los Angeles Times	DAILY	2012-02-22	2012-01-26	28
Newsday	DAILY	2012-02-22	2005-05-01	2485
New York Times	DAILY	2012-02-22	2004-01-01	2974
Onion AV Club	WEDNESDAY	2012-02-22	2006-10-04	282
Philadelphia Inquirer	SUNDAY	2012-02-19	2004-01-04	425
Premier	MONDAY - SATURDAY	2012-02-19	2004-11-14	380
Sheffer	MONDAY - SATURDAY	2012-02-22	2007-06-14	1470
Thinks.com	DAILY
Universal	DAILY	2012-02-22	2004-01-01	2780
USA Today	MONDAY - SATURDAY	2012-02-22	2008-06-10	1044
Washington Post	DAILY	2012-02-22	2011-04-05	324
Washington Post Puzzler	SUNDAY	2012-02-19	2004-01-04	425
Wall Street Journal	FRIDAY	2012-02-17	2004-01-02	425

I'm pretty conflicted about this, while it's nice to have over 15,000 puzzles, the distribution between sources is all over the charts: I only have 28 LATs, 282 Onion AVs, and 2974 NYTs, that's going to make drawing some kinds of conclusions difficult and statistically suspect, but I guess we'll cross that moat when we come to it.