  Sales of Electric Vehicles (EVs) in the United States have grown fast in the
past decade. We analyze the Electric Vehicle Drive Clean Rebate data from the
New York State Energy Research and Development Authority (NYSERDA) to
understand consumer behavior in EV purchasing and their potential environmental
impact. Based on completed rebate applications since 2017, this dataset
features the make and model of the EV that consumers purchased, the geographic
location of EV consumers, transaction type to obtain the EV, projected
environmental impact, and tax incentive issued. This analysis consists of a
mapped and calculated statistical data analysis over an established period.
Using the SAP Analytics Cloud (SAC), we first import and clean the data to
generate statistical snapshots for some primary attributes. Next, different EV
options were evaluated based on environmental carbon footprints and rebate
amounts. Finally, visualization, geo, and time-series analysis presented
further insights and recommendations. This analysis helps the reader to
understand consumers' EV buying behavior, such as the change of most popular
maker and model over time, acceptance of EVs in different regions in New York
State, and funds required to support clean air initiatives. Conclusions from
the current study will facilitate the use of renewable energy, reduce reliance
on fossil fuels, and accelerate economic growth sustainably, in addition to
analyzing the trend of rebate funding size over the years and predicting future
funding.
