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september 2017 by nhaliday
SDA: Survey Documentation and Analysis
preliminary summary of how to use:

Archive -> cumulative datafile
'Tables' = see frequencies by crosstab
'Means' = see means by crosstab
'Regression' = multivar regression

to subset on range: var(x-y), for more detail, http://sda.berkeley.edu/sdaweb/helpfiles/helpan.htm#filter
recoding: http://sda.berkeley.edu/sdaweb/helpfiles/helpan.htm#recode
computing new variables using arithmetic expressions: http://sda.berkeley.edu/sdaweb/helpfiles/helpnewv.htm#compute

when variables are behaving funkily, can be useful to check out availability by year in the Chicago data explorer: https://gssdataexplorer.norc.org/variables/

IAP = "inapplicable" (not asked that year, or N/A)

how to do line plots: http://www.ssric.org/node/601
use 'bar chart' instead of 'stacked bar chart' to get histogram

Razib: http://blogs.discovermagazine.com/gnxp/2011/08/how-to-use-the-general-social-survey/
general-survey  database  crosstab  data  org:data  org:edu  sociology  let-me-see  poll  usa  culture  society  values  ideology  elections  coalitions  demographics  tools  2016-election  dynamic  todo  dataset  social-science  multi  documentation  howto  gnxp  scitariat 
may 2017 by nhaliday
Welcome to wbdata’s documentation! — wbdata 0.2.7 documentation
Wbdata is a simple python interface to find and request information from the World Bank’s various databases, either as a dictionary containing full metadata or as a pandas DataFrame. Currently, wbdata wraps most of the World Bank API, and also adds some convenience functions for searching and retrieving information.
data  metrics  econ-metrics  objektbuch  libraries  python  documentation  yak-shaving  api  hmm  world  developing-world  sleuthin  maps  programming  reference 
february 2017 by nhaliday

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