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[SAMPLE] Think Data Group |Commercial Real Estate Data|Realeflow Data|120MM+ Property ...

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https://marketplace.databricks.com/details/1158c902-30bf-4172-a2a0-150b2a92be32/Think-Data-Group_SAMPLE-Think-Data-Group-Commercial-Real-Estate-DataRealeflow-Data120MM+-Property-
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资源简介:
Realeflow's Database of Commercial Real Estate Data is based on a wealth of real estate data including Sellability scores of the following: The Sellability score is 0-1,000. Anything above 500 has a higher propensity to sell as the following: 1. Wholesale – Propensity to sell at a discount, listed in next 90 days 2. Rentals – Propensity to sell to an investor 3. Retail – Propensity to sell in next 90 days The underlying Commercial Real Estate Data is as follows: 1. 120MM+ property records, equating to 136B+ individual data points and 40 years of property history 2. Deeds & Mortgages: 521MM rows (181 data fields) 3. Assessor: 135MM rows (289 data fields) 4. Pre-Foreclosure: 22MM rows (89 data fields) 5. AVM: Automated Valuation Model which is a mathematical calculation of a property’s value at a specific point in time by analyzing values of comparable properties
提供机构:
Think Data Group
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集提供商业地产信息,涵盖超过1.2亿条房产记录,并包含可售性评分以预测房产销售倾向。数据内容包括交易、评估、预止赎记录以及自动估值模型,用于分析房产价值。
以上内容由遇见数据集搜集并总结生成
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