Steps

Put CY2014.csv and drug_table_jun2015b.csv (or symlinks) into ./original-data.

Do the following once:

cat ./original-data/sample-raw-data.csv  | cut -d, -f 1,8,10,12,13 > ./original-data/minimal-dataset.csv

Parse file and grab drug codes of interest into a pickle object:

python build-drug-code-set.py

create list of at-risk patients, grab a collection of all provider ids to be used later for subsetting, and bundle our data of interest into a pickle of PatientRecord objects

pass a --max_records arg to limit or for testing

python process-data.py --max_records=100000

select a random subset of providers:

python subset-providers.py --providers=1000

build the network:

python build-network.py

calculate the stats:

python calculate-stats.py