Interactive charting powered by Arrow

Perspective was originally developed at J.P. Morgan and was open sourced through the Fintech Open Source Foundation (FINOS). The goal of this project was to make it easy to build analytics entirely in the browser that were user-configurable, or by using Python and/or Jupyter to create reports, dashboards, or any other application both with static data and streaming updates. It uses Apache Arrow as its underlying memory handler with a query engine built in C++ that is then compiled both for WebAssembly (for the browser/Node.js) or as a Python extension. While I highly encourage looking into it further, we're just going to cover using the PerspectiveWidget component for a Jupyter notebook to further analyze and play with the data we were using for the Spark examples, the NYC Taxi dataset.

Before we dive in, make sure that your Jupyter notebook is either still running, or you've spun it back up, as we're going to utilize it for this...