#!/usr/bin/env python
# coding: utf-8

# # Computation and Transformation
# Now that we have obtained our data and cleaned it into a more useful form, we want to run some kind of analysis.
# This usually involves running some kind of algorithm on our data to reveal new connections or information.
# The algorithm can take many forms, from custom coding, to scripting libraries and toolkits, to services that
# you invoke over the web (web services).
# 
# This notebook should describe each data transformation or computation step, including the inputs, outputs and processing
# that was used. It is important to show the outputs of computation in a way that will make sense to students. These could be
# graphs (using Plotly usually), or the printing of raw data tables.

# In[ ]: