工业耗材及建材辅料采购综合清单数据集

1.数据清洗规则：对金额、数量等数值字段保留4位小数，避免浮点误差。单据编号、批号进行脱敏处理，后五位改成“*****”，删除完全空白的行或金额/数量均为0的无意义记录。 2.数据加工处理：根据“货品类别”和“品名”构建多级分类体系，支持按类别统计采购量。计算每笔采购占总成本的百分比，用于成本结构分析。 3.算法模型应用：基于历史采购数据预测未来需求，根据采购频次和金额划分物资等级，结合交货准时率、质量合格率等对供应商打分。 4.合规性与安全措施：确保“税额”字段符合当地税法计算规则，对供应商、品牌等字段泛化处理，确保单条记录无法关联到具体企业或个人。1. Data Cleaning Rules: For numerical fields such as amount and quantity, retain 4 decimal places to avoid floating-point errors. Desensitize document numbers and batch numbers by replacing their last five digits with "*****", and delete fully blank rows or meaningless records where both the amount and quantity are zero. 2. Data Processing: Construct a multi-level classification system based on "product category" and "product name" to support category-wise purchase volume statistics. Calculate the percentage of each purchase in the total cost for cost structure analysis. 3. Algorithmic Model Application: Predict future demand based on historical procurement data, classify materials into grades according to procurement frequency and amount, and score suppliers by integrating on-time delivery rate, quality pass rate and other relevant metrics. 4. Compliance and Security Measures: Ensure that the "tax amount" field complies with local tax law calculation rules, and generalize fields such as suppliers and brand names to prevent individual records from being linked to specific enterprises or individuals.

搜集汇总

背景与挑战

背景概述

该数据集是贵州九衡铝业有限公司自行产生的工业耗材及建材辅料采购综合清单，适用于工业制造、供应链管理和财务控制领域。数据规模为2011kb，无更新周期，包含详细的数据处理规则和算法应用。