A data processing rig for the World Values Survey. Currently tested only with WVS Wave 6 (2010-2014).

Have a Mac and need help getting the requirements installed? Read our guide!

• bash
• Python + pip
• PostgreSQL

Install project requirements (preferably in a virtualenv):

pip install -r requirements.txt

The data cannot be redistributed, so you'll have to go download it. Follow the WV6_Data_ascii_delimited_v_2015_04_18 (delimited with comma) link, unzip the file, and copy WV6_Data_ascii_v_2015_04_18.dat into this projects data folder.

To import the data and summarize it the way we do, run:

./process.sh

This will generate summary output for all the questions NPR analyzed in our reporting. The output will go in the output directory in CSV format.

First, run the importer:

./import.sh

Now, you can create summaries for individual questions by calling:

./summarize_questions.py <question_id>

So if you were interested in the responses per-country to question v52 ("A university education is more important for a boy than for a girl."), you would run:

./summarize_questions.py v52

The summary output will be in output/v52.csv.

You can pass multiple questions, just separate them with space:

./summarize_questions.py v52 v54 v60