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U.S Real Estate And Property Data Sample

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Snowflake2024-03-25 更新2024-05-01 收录
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https://app.snowflake.com/marketplace/listing/GZT1Z18TQJR
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资源简介:
ABOUT THE DATASET: Our US Property Dataset streamlines the process of accessing and analyzing property records and sales transactions for over 140 million US properties, property records, sales transactions and rental listing data and benchmarks and loads target datasets to your Snowflake warehouse ready for analysis. No need for complex data pipelines or manual data gathering processes! PURPOSE: In the contemporary data-driven real estate sector, organizations frequently encounter difficulties in efficiently accessing and analyzing current property data. Numerous real estate professionals rely on manual data collection, cumbersome web scraping techniques, or costly subscriptions to data feeds. However, these methods are either highly inefficient or prohibitively expensive and difficult to establish. Fortunately, with advancements in technology and the availability of innovative solutions, these challenges no longer need to persist. EXAMPLE USE CASES Property Value Estimation: Estimate property values based on property features, market trends, and comparable listings. Ownership Details Retrieval: Retrieve owner details, sales history, and tax assessment information for specific properties. Market Analysis: Analyze real estate market trends, including property values, rental rates, and listing composition statistics. Comparative Market Analysis: Conduct comparative market analyzes to identify similar properties, assess their values, and determine competitive listing prices. EXAMPLE TABLES Property Records (US_PROPERTY_DATA_API) EXAMPLE FIELDS: Address Property Type Bedrooms Bathrooms Square Footage Last Sale Price Last Sale Date For additional information and assistance, visit us at https://getourdata.stoplight.io/docs/getourdata/branches/main/xo0la5byii4li-us-property-data
提供机构:
GetOurData
创建时间:
2024-03-05
搜集汇总
数据集介绍
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背景与挑战
背景概述
该数据集涵盖超过1.4亿美国房产的交易记录、产权信息和租赁数据,可直接导入Snowflake数据仓库进行分析,支持房产估值、产权追溯和市场趋势研究等应用场景。数据集包含地址、房型、交易价格等核心字段,解决了传统房产数据获取效率低、成本高的问题。
以上内容由遇见数据集搜集并总结生成
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