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Last week we discussed the Zillow Home Value Prediction (Zestimate) competition. Come join us this week to hear one of our members, Ursula Kaczmarek, talk about an interesting data science project that helps answer the question: Where do New York Capital Region homeowners spend their housing dollars?
Ursula will discuss her recent project examining the relationship between capital region housing costs and location/transportation variables. The project featured multivariate regression on data from the EPA's smart location database and the Center for Neighborhood Technology's H+T index. A Shiny app of the results is viewable at:
Topics: data science, regression analysis, multivariate regression, R code and packages
Agenda: Introductions, Project Overview, Group Discussion, Meetup Planning
Target audience: everyone
Ursula organized the Open Data Day Hackathon for the Albany / Troy / Tech Valley region in March and some members from our meetup participated. After last week's Zillow competition discussion she started a GitHub repo with an EDA on missing data. Have a look and participate in the discussion/coding.
The Smart Location Database is a nationwide geographic data resource for measuring location efficiency. It includes more than 90 attributes summarizing characteristics such as housing density, diversity of land use, neighborhood design, destination accessibility, transit service, employment, and demographics. Most attributes are available for every census block group in the United States.
The Housing and Transportation (H+T®) Affordability Index provides a comprehensive view of affordability that includes both the cost of housing and the cost of transportation at the neighborhood level.
We thank Matthew Lean and OneHudson Ventures for letting us use the Estuari coworking space.