Metadata-Version: 1.1
Name: nyt-clerk
Version: 0.1.20
Summary: Python client for parsing SCOTUS data from multiple sources.
Home-page: https://github.com/newsdev/nyt-clerk
Author: Jeremy Bowers
Author-email: jeremy.bowers@nytimes.com
License: Apache License 2.0
Description: .. figure:: https://cloud.githubusercontent.com/assets/109988/9503675/7a4bdfee-4c06-11e5-8619-e8f85ccb49f2.png
           :alt: 
        
        Usage
        =====
        
        ::
        
            pip install -e git@github.com:newsdev/nyt-clerk.git#egg=clerk
            clerk justices
        
        Data
        ====
        
        -  ``clerk cases``: SCDB fields about decided merits
           cases, excluding the justice and vote details.
        -  ``clerk votes``: SCDB fields about a single justice's
           vote in a single case.
        -  ``clerk courts``: Data about the ideology for 
           each Court term.
        -  ``clerk justices``: Data about the ideology and
           qualifications for each Justice before they were confirmed.
        -  ``clerk justice_terms``: Data about the ideology of
           each individual Justice during each Court term.
        
        SCDB Data
        ---------
        
        SCDB data includes cases from 1791 term to the 2014 term. Many fields
        need to be mapped to their full values. The SCDB `maintains an online
        codebook <http://scdb.wustl.edu/documentation.php>`__ with these maps.
        
        
        Ideology / Qualification Scores
        -------------------------------
        
        Martin-Quinn scores measure the relative ideology of a Justice or a
        Supreme Court term to the median Justice. Andrew Martin and Kevin Quinn
        `wrote an excellent
        paper <http://mqscores.berkeley.edu/media/pa02.pdf>`__ about the method.
        
        Segal-Cover scores measure the ideology and qualification of an
        individual Justice *before* their appointment to the Court. Jeffrey
        Segal `wrote a
        summary <http://www.stonybrook.edu/commcms/polisci/jsegal/QualTable.pdf>`__
        and shows the raw data as a table (warning: PDF).
        
Keywords: SCOTUS data parsing scraping legal law court
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development :: Libraries :: Python Modules
