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Shunyan Luo

The George Washington University



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Xiang Shen

The George Washington University



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Mingze Zhang

The George Washington University



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28 – SPEED: Data Challenge Part 1

House Quality Index Construction and Rent Prediction in New York City With Interactive Visualization and Product Design

Sponsor: Government Statistics Section
Keywords: 2019 Data Expo, Index Construction, Spatial Temporal Regression, Data Visualization

Shunyan Luo

The George Washington University

Xiang Shen

The George Washington University

Mingze Zhang

The George Washington University

Housing is of primary importance for immigrants in New York City. The study analyzed the house conditions and price changes of residents in New York City from NYCHVS survey during the past 30 years. Firstly, a house condition index is summarized by dimension reduction approach. In addition, we established a two-stage predictive model on the rent with spatial temporal information as well as house condition. Data visualization is utilized to show immigrant's preference and provide information for new residents to settle down in the city.

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