========================
 Social Science Surveys
========================

This chapter introduces the extension package *memisc*, which is
specifically designed to address several of the challenges that were
discussed in the previous chapter. It shows how a the system memory can
be saved by importing subsets of variables and observations; how
variables can be renamed so that results are more easy to interpret; how
certain metadata can be used, that are not provided for by a basic *R*
installation, such as value labels and user-defined missing values.  The
chapter also provides examples for more complex recodings of variables,
e.g. for the construction of Goldthorpe class categories for households
from ISCO-coded occupations of survey respondents and the creation of
codebooks.

Below is the supporting material for the
various sections of the chapter.

Importing survey data
=====================

.. nbgallery::

   05-social-science-surveys/importing-BES-data.ipynb
   05-social-science-surveys/importing-ANES-data.ipynb
   

Recoding and other transformations
==================================

.. nbgallery::

   05-social-science-surveys/recoding-BES.ipynb
   05-social-science-surveys/cases-GLES.ipynb