Four metrics for adding neighborhood-level data to go hyper-local
Posted By a Luxury Daily columnist On In Columns,Featured,Opinion | No Comments{"ct":"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","iv":"c6ff896da84c9fdd4c41963360cb11fc","s":"f8194ba52724ce1c"}