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Conducting and Visualizing Set-Theoretic Social Research with Python
--client
pytexas
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pytexas2014
--room MSC_2300_A 8804 --force
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Marks
Author(s):
Claude Rubinson
Location
MSC 2300 A
Date
oct Sun 05
Days Raw Files
Start
16:00
First Raw Start
15:59
Duration
00:50:00
Offset
0:00:36
End
16:50
Last Raw End
16:49
Chapters
00:00
Total cuts_time
49 min.
http://www.pytexas.org/2014/talks/8/
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Description:
In this talk, I will discuss a suite of F/OSS programs (Python/Qt) that I have developed for conducting "qualitative comparative analysis," a social research technique for analyzing subset relationships. (For example, religious fundamentalists constitute a rough subset of political conservatives: most religious fundamentalists are politically conservative but most conservatives aren't religious fundamentalists.) The talk will review the process of developing the software, beginning with an R implementation that was ultimately discarded, and outline why I ended up choosing Python and review the consequences of that choice, both pro and con. I will also discuss my current work on developing new techniques for visualizing subset relationships, including different approaches to presenting Venn and Euler diagrams. More generally, I'll assess benefits and disadvantages of using Python for developing academic software.
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2014-10-05/15_59_24.dv
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