租房数据集

以下是该 CSV 文件中各列的名称及其含义说明：
id：唯一标识每条房源记录的编号。
title：房源标题，通常简要描述房屋的主要卖点（如户型、装修、配套设施等）。
total_price：房屋总价（单位：万元）。
unit_price：房屋单价（单位：元/平方米）。
square：建筑面积（单位：平方米）。
size：户型结构（例如“2室2厅1厨1卫”表示两室两厅一厨一卫）。
floor：楼层信息（如“中楼层 (共11层)”表示位于中间楼层，共11层）。
direction：朝向（如“南 北”表示房屋南北通透）。
type：建筑类型（如“板楼”）。
district：所属区县（如“青州市”）。
nearby：房源所在的城市或地区范围（如“青州市”）。
community：小区名称。
decoration：装修情况（如“简装”“精装”“其他”）。
elevator：是否有电梯（“有”或“无”）。
elevatorNum：电梯配比信息（如“一梯三户”表示一部电梯服务三户人家）。
ownership：房屋产权类型（如“商品房”）。

This document outlines the names and corresponding explanatory meanings of each column in the provided CSV file:
id: Unique identifier for each housing listing record.
title: Housing listing title, which briefly describes the core selling points of the property, including apartment type, decoration, supporting facilities, etc.
total_price: Total price of the property (unit: ten thousand yuan).
unit_price: Unit price of the property (unit: yuan per square meter).
square: Construction area (unit: square meters).
size: Apartment layout (for example, "2 bedrooms, 2 living rooms, 1 kitchen, 1 bathroom" denotes a property with two bedrooms, two living rooms, one kitchen and one bathroom).
floor: Floor level information (such as "Mid floor (11 floors in total)" indicates the property is located on a middle floor with 11 total floors).
direction: Property orientation (such as "South & North" indicates south-north transparent ventilation).
type: Building type (such as "slab building").
district: The district or county where the property is located (such as "Qingzhou City").
nearby: Urban or regional scope where the housing listing is situated (such as "Qingzhou City").
community: Name of the residential community.
decoration: Decoration status (such as "lightly decorated", "well-decorated", "other").
elevator: Whether the property is equipped with elevators ("Yes" or "No").
elevatorNum: Elevator-to-household ratio (such as "1 elevator for 3 households" means one elevator serves three residential units).
ownership: Type of housing property right (such as "commercial housing").

搜集汇总

背景与挑战

背景概述

该数据集是一个包含租房房源信息的结构化数据集，涵盖了房源标识、标题、总价、单价、建筑面积、户型、楼层、朝向、建筑类型、区县、城市范围、小区名称、装修情况、电梯信息和产权类型等16个关键字段。数据以CSV格式提供，文件大小为4.23MB，发布于天池平台，适用于房价预测、市场分析或数据挖掘任务。