Build visualizations

[Xoeseko]

• Build visualizations using either:
• jupyter notebooks
  Regarding Jupyter check out binding multiple notebooks with Binder
  Binder examples
  Also D3.js is powerful for interactivity and personalizability in terms of interactivity it is possible to use this
• portfolio visualization
• stock price evolution
• token generation time series
• When implementing d3 remember to load data using d3.json(url) or d3.request
• Let people find their own metrics by building complete interactive visualizations
  As a sidenote it could be interesting to get into a few statistics although it is not a priority right now...

[Xoeseko]

In python when importing the data use json_normalize from pandas.io.json:

df = json_normalize(data, sep = "_")

The separator is the string used to separate the data