汽车维修类别统计分析数据集

1.数据采集：从汽车维修业务管理系统中采集全流程数据，覆盖维修业务核心环节，采集字段包括入厂时间、结算时间等业务时序数据，车牌号、车型等车辆标识数据，维修类别、接车员等服务属性数据，以及配件费、合计费用等财务数据，确保数据来源与业务实际操作同步。2.数据加工：将车牌信息脱敏，删除无效字段、维修类别结构化分类、费用数据校验，同时保留工单号唯一标识，为后续分析提供标准化数据基础。1. Data Collection: Collect end-to-end operational data from the Automotive Maintenance Business Management System, covering core links of the maintenance business. The collected fields include business temporal data such as vehicle entry time and settlement time, vehicle identification data such as license plate number and vehicle model, service attribute data such as maintenance category and service receptionist, and financial data such as parts cost and total cost, ensuring that the data source is synchronized with actual business operations. 2. Data Processing: Anonymize license plate information, delete invalid fields, perform structured classification of maintenance categories, validate expense data, and retain the unique work order identifier, providing a standardized data basis for subsequent analysis.

搜集汇总

背景与挑战

背景概述

该数据集由汽车销售公司自行产生，规模为70.8KB，每年更新，专注于汽车维修企业的运营管理，支持维修调度、库存规划等场景。数据来源于维修业务管理系统，经过脱敏和结构化处理，覆盖维修全流程环节，但数据结构详情暂未提供。