New York City (NYC) has been a cornerstone and a perfect example at the same time for everything good that a city can have. NYC has stood up strong and has even emerged better to the changes that Time and History have had. This emergence after every change has led to NYC being not just a baseline but has made it a milestone city in every aspect.
Stating that, history and time rarely cease to be a force of change, and this force of change when it comes to the new trend of “gentrification” has taken this city by storm. Since NYC is so ever accommodating to these changes, this wave of change has also sealed its rightful place in this city. To delve into this change and to see exactly how this change has bettered the city, this group has chosen to quantitatively analyze “gentrification” in a section of New York City and has chosen to go with the biggest change in recent times to NYC’s landscape field. The New York City, High Line - located in the earlier meat-packing industry of Chelsea, has contributed to various changes in and around Chelsea - Real Estate, Business, Restaurants, Crime and many other observations that can be seen around the High Line today. Just knowing this is not enough for a Data Science group, quantitatively analyzing these changes and proving just how much they have contributed to the betterment of the surroundings is what this report aims to achieve. This project aims to analyze and quantify the changes seen around the High Line Park - this analysis is open-ended and can be positive as well as negative, it is mainly a qualitative and quantitative analysis. It was started initially with the hope of all and every aspect of the analysis will be positive, yet as the project nears its completion, the group has seen changes in aspects that turn out to be either negative or no change at all, which is considered a change nonetheless.An observed change - positive, negative or even neutral does give this project a clear understanding of exactly how “gentrification” occurs in a city whose life and everyday structural working, changes without the slightest notification. To analyze this change and to address it as one of the three observations stated above is still a big step towards pinpointing analytically how areas are affected by change.