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QMSS-G5063-2022 / Group-E_Climate-Real-Estate

Interactive data visualization project on the real estate effects of major US disasters
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Submission of Group E Project Proposal #1

Open jtsai97 opened 2 years ago

jtsai97 commented 2 years ago

1c37260 @QMSS-G5063-2022/teaching_team

Abhimanyu210100 commented 2 years ago

The proposal sounds good. For the climate change data that does not confer to specific state boundaries, you could try using leaflet package along with addPloygons in r which allows you to build your own boundaries

JonathanReeve commented 2 years ago

One concern I might have would be in the measurability of what determines a "good deal," one of the key terms here. You could measure price per square meter, but then that ignores a lot of other factors which are important predictors of price: the quality of the floor, fixtures, windows, etc; the neighborhood's perceived value; distance to public transportation. Real estate is also a major bargaining chip for investment, as well—controversially, Manhattan real estate has often been the target of foreign investment, by investors who don't intend to live in their acquisitions. So in those cases, prices are artificially high, because they don't really correlate to the factors listed above.

tbrambor commented 2 years ago

Came across this large climate opinion survey which may be a nice addition to your project: https://climatecommunication.yale.edu/visualizations-data/ycom-us/

Others have used the same survey to show the disconnect between how people think climate will affect them vs. others: https://i.redd.it/yw4k0ls6uqr81.png