Intelligentsia’s aim is to provide residential real estate investors with a home value appreciation forecast for neighborhoods within New York City. Our solution ranks NYC census tracts by likelihood of gentrification. A plethora of data were acquired and analyzed to create the Intelligentsia model. Among those data sets are ACS/Census data, Google Search Trends, Yelp ratings, NYC TLC taxicab trips, NYC Subway network and stations, residents’ travel time to work and various datasets from NYC Open Data.

This app was recognized with an honorable mention on the 2019 Shiny Contest.

Identifying real estate investment opportunities

by Philipp Reiner

Intelligentsia’s aim is to provide residential real estate investors with a home value appreciation forecast for neighborhoods within New York City. Our solution ranks NYC census tracts by likelihood of gentrification. A plethora of data were acquired and analyzed to create the Intelligentsia model. Among those data sets are ACS/Census data, Google Search Trends, Yelp ratings, NYC TLC taxicab trips, NYC Subway network and stations, residents’ travel time to work and various datasets from NYC Open Data.

This app was recognized with an honorable mention on the 2019 Shiny Contest.

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map, real estate