# canfam
Scripts to make a rdf-conversion ready csv file from the "Canadian families" spps dataset and to create a vocabulary. Should be run in the following order
1. canfamconvert.r - read and clean spss file, convert to csv file
2. canfamvocab.r - make canadacodes.json from csv file
3. canfamvocab.py - canadacodes.json into rdf
4. canfamcsv2rdf.sh - shell file to make rdf out of csv
canadadefs.txt is a text file containing the definitions of the variables required for canfamvocab.r. They were taken from the pdf codebook available at the [website of the Canadian Family project](http://web.uvic.ca/hrd/cfp/data/index.html). The spss dataset can also be found there.
PyPI 官网下载 | cow_csvw-0.34.tar.gz
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2022-01-31
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cow_csvw-0.34.tar.gz （30个子文件） 
cow_csvw-0.34 
PKG-INFO 420B src old clio_converter qbcliodata.py 8KB clio_job.sh 400B update-queries auke_napp_enrolled.rq 455B canfamvocab_converter readme.md 674B canfamvocab.r 3KB
canadadefs.txt 6KB canadacodes.json 1.03MB canfamvocab.py 2KB canfamconvert.r 365B nappvocab_converter nappvocab.py 4KB nappcodebook.json 3.59MB ids_converter ids_hsn.py 4KB ids_sample.R 477B ids_sedd.py 2KB csv2qber-schema.py 719B csv2qb.py 2KB src pip-delete-this-directory.txt 185B __init__.py 0B converter __init__.py 19KB csvw.py 28KB util __init__.py 15KB namespaces.yaml 6KB mappings.py 2KB qberify.py 3KB config.py 112B csvw_tool.py 3KB setup.cfg 40B requirements.txt 877B setup.py 994B
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