温州眼谷园区房屋资源分析数据

内部场景应用：该数据不仅用于园区内部房源管理，获取房源状态信息，处理租赁中、已退租、正常占用、空闲等状态数据，分析统计房源占用情况汇总表，通过开始时间、结束时间、房屋出租面积、出租状态、占用状态及一定时间内出租月数综合分析，计算出租资源收益指数，支撑园区管理决策，提高管理效率，加快资源周转。
外部场景应用：这些数据能够反映出园区周边的居住和商业活力。城市规划部门可以利用这些数据，了解该区域对房屋租赁的需求程度，辅助判断是否需要加强周边基础设施建设，如交通、教育、医疗等配套设施。帮助评估城市不同区域的产业吸引力。如果园区房屋租赁火爆，意味着该园区所在产业有吸引力，这可以为城市在产业布局调整和招商引资等工作中提供数据支撑。1.数据采集：根据房源编号，取出对应的房源数据，采集该房源出租月数、已收租金月数、出租面积、单价、累计收取租金等信息。
2.数据处理：通过字段“楼宇”、“房源”、“开始时间”、“结束时间”、“出租状态”进行数据透视。计算出房源的正常占用，空闲等占用状态，计算出租资源收益指数。出租资源收益指数=累计收取租金/（单价*出租面积）
3.数据应用：根据出租资源收益指数来分析研判，房屋资源点位的整体收益情况，从而为后续不同资源点位的分类管理提供决策依据，促进优化出租政策，提升房屋出租资源利用率。

Internal Scenario Application: This dataset is not only used for on-site property management of the park, including obtaining property status information, processing data of statuses such as under rental, vacated, normally occupied and vacant, compiling statistical summary tables of property occupancy status, conducting comprehensive analysis based on start time, end time, rental area, rental status, occupancy status and the number of rental months within a specific period, calculating the rental resource revenue index to support park management decision-making, improve management efficiency and accelerate resource turnover.
External Scenario Application: These data can reflect the residential and commercial vitality around the park. Urban planning departments can use these data to understand the regional demand for housing rental, and assist in judging whether it is necessary to strengthen supporting infrastructure such as transportation, education and medical care in the surrounding areas, helping evaluate the industrial attractiveness of different urban regions. If the property rental market in the park is booming, it indicates that the industry where the park is located is attractive, which can provide data support for the city's industrial layout adjustment and investment promotion work.
1. Data Collection: Extract corresponding property data based on the property number, including the number of rental months, the number of months for which rent has been collected, rental area, unit price, cumulative rent collected and other information.
2. Data Processing: Perform data pivoting using the fields of "building", "property", "start time", "end time" and "rental status". Calculate the occupancy statuses of properties such as normally occupied and vacant, and calculate the rental resource revenue index. The rental resource revenue index = cumulative rent collected / (unit price * rental area).
3. Data Application: Conduct analysis and evaluation based on the rental resource revenue index to assess the overall revenue of property resource locations, thereby providing decision-making basis for the classified management of different resource locations in the future, promoting the optimization of rental policies and improving the utilization rate of rental property resources.

搜集汇总

数据集介绍

特点

该数据集包含温州眼谷园区房屋资源的详细信息，如楼宇、房源、出租状态、占用状态和出租资源收益指数等，共508条数据，每月更新。主要用于园区内部房源管理和外部城市规划决策支持。