For this study, an analysis of a dataset from a company in the retail food sector that sells products from 5 major categories: wines, rare meat products, exotic fruits, specially prepared fish and sweet products will be conducted. The customers can order and acquire products through 3 sales channels: physical stores, catalogs and company’s website. Then a predictive model will be built to support direct marketing initiatives and improve the company’s revenue.

The purpose of this map is to show the shifting levels of green space in New York City from 1985 to 2020. Using data from Landsat 5 for the 1985 imagery as well as Landsat 8 for modern data, I will use the Normalized Difference Vegetation Index (NDVI) Layers to showcase the shifting levels of greenspace in select New York City neighborhoods, and assess its relationship to median income of the selected neighborhoods.