Data: indicate the data you identified as available and suitable to answer the question and why that data is suitable to answer your question.  Include a description of the anticipated processing and transformations you plan to make on this data.
There is data available regarding buildings from PLUTO and Local Law 84.
The energy data is comprised of all energy and water usage and inputted in the Environmental Protection Agency’s (EPA), ENERGY STAR Portfolio Manager. This tool compares similar buildings typologies across the nation and is normalized for weather and usage to designate a score based on ranking within the percentile of the building population.
Analysis: what analytical tools and methodology you envision to use to answer the question
The analysis will look to compare peer building types to develop metrics to prioritize energy projects or quantify policy interventions across the city of New York.
References: include information about papers, reports, existing work or other references that are related to your project. 
Deliverable: what is the deliverable you expect to produce (a statistical conclusion, a graphical tool, an algorithm that can be used in the future e.g. by agencies, etc.)
extra credit assignment portal on NYU classes. Deliver proposal by submitting Authorea link.