This repository provides the code to replicate the figures of the paper: Understanding Unemployment in the Era of Big Data: Policy Informed by Data-Driven Theory. The code is in the Python programming language and uses the Jupyter Notebooks for pedagogical purposes. If you want to run the code you need to install the Acaconda distribution of Python 2.7 in your computer. Then, download the notebook that you want to run. Finally, fire up the ipython-notebook from the Anaconda Launcher and laod the notebook that you just downloaded (it should have extension .ipynb).