a discussion of purpose formatted in Markdown for easy reading
requirements links to setup that leverages other files and discussions in the repository
a .SQL file
Python wrapper that calls the .SQL file
pipe-delimited flat file output
visualization of the data
This notebook should have 2 parts:
An initial script that produces the above on a single run
A second section that shows how the use of functions can enhance utility. This use of functions should begin the introduction to a function library specific to the HMDA dataset.
Using a Jupyter notebook provide:
This notebook should have 2 parts: