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R source code for data-driven research I've done for Abundant Housing LA's blog.
This project forked from anthonydedousis/abundanthousingla
R source code for data-driven research I've done for Abundant Housing LA's blog.
Datasets: ACS - American Community Survey neighborhood-level data on population, number of households, race, rent/income ratio, income, unemployed, rent-burdened (more info here: https://www.census.gov/data/developers/data-sets/acs-5year.html) Housing Supply by Neighborhood - number of multifamily and single-family homes by neighborhood in LA - original source is the LA County Assessor's Office (http://maps.assessor.lacounty.gov/GVH_2_2/Index.html?configBase=http://maps.assessor.lacounty.gov/Geocortex/Essentials/REST/sites/PAIS/viewers/PAIS_hv/virtualdirectory/Resources/Config/Default). I'd take the multifamily number with a BIG grain of salt - filtering the original dataset was hard and I'm pretty sure my teammate excluded apartments in mixed-use buildings Zillow - ZRI (Zillow Rent Index) estimating monthly inflation-adjusted rents by neighborhood (https://www.zillow.com/research/data/) Scripts: 1. abundanthousingla/Scripts/HousingSupply_Merge_v2.R - The purpose of this script is to merge ACS, Zillow, and Housing Supply data for Los Angeles. See the parent directory\'s README for more information. - First version of script was for a local copy of the data and testing.w - Input: - The 3 datasets above. - Output - SupplyZillowACS_merged.csv
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