================= The poster can be found here: https://clemson.box.com/s/xctxjf2001s57lusqfvjv7eg3c8e9nbl For the scripts used to obtain the employment data, please look at: https://github.com/AirtrafficAnalysisGroup/Economy ================= Dependencies: Python 3.5.2 NetworkX SQLite ================= The data can be queried from database/bfdatabase.db database/bfdatabase.db contains all the data (flight and econ combined) See readdbexample.py for example on how to do that ================= If you're confused about the names of the columns, run: c.execute('SELECT * FROM <your table>') print(list(map(lambda x: x[0], c.description))) ================= More documentation for SQLite can be found here: https://docs.python.org/3.5/library/sqlite3.html ================= Dataset and tools created by: Ruslan Shaydulin Ehsan Sadrfaridpour Clemson University, 2016 =================