< Yunhe Cui, github handle: yunhecui, NYU ID: yc3420 >
Abstract ans Introduction:
Urban life has been a hot topic in modern lift since over 50% of the world’s population lives in urban areas (United Nations, 2014). Rent is always one of the most import factors when people try to do apartment hunting (generally, it is not the only one). What will influence the rent and how they will influence the rent becomes interesting questions. In this project, I will use noise, crime, retail, bus, and metro data to analysis and see which factor will have the largest impact on the rent by zip code. As the analysis result shows, the rent distribution is skewed to a large extent due to some factors and in this case, we found the noise complaints and metro entrance distribution are highly related to the rent change.
Data and Methodology:
Data Source: