星澜大厦办公用房出租价格预测数据

办公用房的出租价格是有众多不同的特征组成。由于各个特征的数量和组合方式不同，使的办公用房的出租价格产生差异。如能将办公用房的出租价格影响因素分解，求出各影响因素所隐含的价格，在特征数量固定不变时，就能将办公用房的出租价格变动的品质因素拆离，以反映纯粹价格的变化。通过特征价格法可以预测天安金融大厦办公用房办公用房的出租价格。此计算方法并为办公出租房行业内出租价格预测提供数据支持。1、采集于历年企业办公用房的出租数据，经过降噪、清洗后建立模型。 2、将处理后的数据通过加权平均法：每平方日租金价格预测（元）=0.8*成本+0.05*楼层+0.05*朝向+0.1*装修 ，计算得出每平方日租金价格的预测值。 楼层：总楼层的下1/3收取10元；中间1/3层收取15元；上1/3收取20元。 朝向：东4元、南4.6元、西3.8元、北3元. 装修：简装：1.3元，豪华1.9元The rental price of office spaces is determined by a variety of distinct characteristics. Variations in the quantity and combination of these characteristics lead to differences in the rental prices of office spaces. If the influencing factors of office space rental prices can be decomposed and the implicit prices of each influencing factor can be calculated, the quality factors driving changes in office rental prices can be isolated when the number of characteristics is fixed, thereby reflecting changes in pure prices. The rental prices of office spaces in Tian'an Financial Building can be predicted using the hedonic price method. This calculation method also provides data support for rental price prediction within the office rental industry. 1. A model is established using corporate office space rental data collected over multiple years, after noise reduction and data cleaning. 2. The predicted daily rental price per square meter is calculated using the processed data via the weighted average method: Predicted Daily Rental Price per Square Meter (CNY) = 0.8 * Cost + 0.05 * Floor + 0.05 * Orientation + 0.1 * Decoration. Floor: CNY 10 for the lower 1/3 of the total floors; CNY 15 for the middle 1/3 of the floors; CNY 20 for the upper 1/3 of the floors. Orientation: CNY 4 for east-facing; CNY 4.6 for south-facing; CNY 3.8 for west-facing; CNY 3 for north-facing. Decoration: CNY 1.3 for lightly decorated; CNY 1.9 for luxuriously decorated.

搜集汇总

数据集介绍

特点

该数据集是一个用于预测星澜大厦办公用房出租价格的数据集，包含531条记录，每季度更新一次。数据集通过特征价格法预测出租价格，并提供详细的算法规则说明。