This guide details how to connect to a C3 cluster, search for data you want to use,
fetch that data, and convert it into a form that you can easily analyze.

Connecting to a C3 Cluster

TBD

Getting a representation of the internal Data Model

TODO:

Fetching Instances of Types

Data Fetching Documentations if you are:

1. Using Browser Developing Tools: https://developer.c3.ai/docs/7.12.0/guide/guide-c3aisuite-basic/di-monitoring-and-troubleshooting
2.  using Python Jupyter Notebook: https://developer.c3.ai/docs/7.12.0/topic/ds-jupyter-notebooks

A Code Example:

## fetching all "BlockInfo" c3 type entries with field "prop_urban"  >= 0.8 and field "med10_age" > 1990.
c3Grid(BlockInfo.fetch({filter: "prop_urban >=0.8 && med10_age > 1990"}))

Converting Fetch results to usable forms

TODO:

Executing Metrics on Time series data

TODO: