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Research project about sci-fi reader preferences in cooperation with local public library
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SCIENCE FICTION COLLECTION SURVEY This repository contains data files for a survey being conducted by Creative Minority Productions (http://creativeminorityproductions.com) as a community service project in conjunction with a local public library branch. Unless otherwise noted all files are released under a Creative Commons Attribution-Noncommercial license (see file LICENSE for details). The survey has two main fpurposes: 1) To discover the relative importance of various factors in patrons' selection of speculative fiction materials. 2) To segment the speculative fiction using population so that the needs of each segment can be more adequately met. Analysis is currently ongoing; this repository currently contains mostly raw data or data in a very early stage of analysis. I will post the actual report as soon as I have a good first draft. Kevin A. Straight 7 June 2018 FILES code_data.py Python 2.x script used to code the raw dump from Google Forms into a numeric format usable for analysis (GPL 2.0 License) finalSurveyDump.csv Raw data dump from Google Forms finalDumpClean,csv Raw data after procressing with code_data.py. Variables coded numerically, empty records removed. Invalid and foreign zip codes deleted within records. LICENSE Full text of the CC-BY-NC license README This file survey_facimile.pdf Print-out of the actual survey survey_data.odt k-means cluster analysis (Open Office spreadsheet) survey_data.por Survey data as a PSPP files (should open in SPSS or import into other stat packages, but I haven't tried yet) survey_data.xls k-means cluster analysis saved as an Excel spreadsheet (native format is .ods) T-test.odt Output of PSPP for unpaired-T tests for various splits of the data, included for people who can't run PSPP or SPSS for some reason. T-test.pdf " zip_code_database.csv List of valid us zip codes. Used by code_data.py. This comes from USPS so I believe it is in the Public Domain under the Federal Documents rule. If I'm wrong, someone please correct me.