行业企业活跃度指数数据集
收藏贵州省数据知识产权登记平台2025-12-23 更新2025-12-24 收录
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https://gzdipp.gzsis.cn:12020/noticeDetail?id=2052&type=1
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资源简介:
"1.数据采集:从企业电子卖场平台提取已归集的企业行业定位、成立日期、最新年检时间;
2.数据处理:1)按成立日期计算企业年龄并做归一化处理,消除不同行业企业年龄跨度差异的影响;按年检日期计算年检延迟天数,对延迟天数进行分级赋权(按延迟时长梯度赋予差异化权重);2)在行业维度聚合企业年龄归一化值与年检延迟赋权值,得到加权平均活跃度得分;3)通过Bootstrap抽样法输出活跃度得分的置信区间(按统计分析通用标准设置),最终形成“行业-活跃度得分-置信区间”结构化关联数据集;
3.数据应用:生成行业活跃度排行榜,清晰呈现各行业企业活跃程度与年检合规性。供金融机构快速筛选高活跃、低年检延迟的优质行业客群,优化信贷投放策略;也为产业研究机构分析行业经营活力提供量化指标,辅助产业资源倾斜决策。"
1. Data Collection: Extract pre-aggregated enterprise industry positioning, establishment dates, and latest annual inspection records from enterprise e-marketplace platforms;
2. Data Processing: 1) Calculate the age of each enterprise based on its establishment date and perform normalization processing to eliminate the impact of differences in enterprise age spans across industries; calculate the number of delayed days for annual inspections based on the annual inspection date, and assign graded weights to the delayed days (assign differentiated weights according to the delay duration gradient); 2) Aggregate the normalized enterprise age values and the weighted annual inspection delay values at the industry level to obtain the weighted average activity score; 3) Use the Bootstrap sampling method to generate the confidence interval of the activity score (set according to general statistical analysis standards), and finally form a structurally correlated dataset structured as "industry - activity score - confidence interval";
3. Data Application: Generate an industry activity ranking list to clearly present the enterprise activity level and annual inspection compliance of each industry. This enables financial institutions to quickly screen high-activity, low-delay high-quality industry customer groups to optimize credit allocation strategies; it also provides quantitative indicators for industrial research institutions to analyze industrial operational vitality, assisting in making decisions on targeted industrial resource allocation.
提供机构:
贵州梵云大数据集团有限公司创建时间:
2025-12-19
搜集汇总
数据集介绍

背景与挑战
背景概述
该数据集是一个基于公共数据授权的行业企业活跃度指数数据集,包含6000条数据,每年更新一次。它通过计算企业年龄归一化和年检延迟赋权等算法,生成行业活跃度得分和置信区间,主要用于金融机构优化信贷投放策略和产业研究机构分析行业经营活力与趋势。
以上内容由遇见数据集搜集并总结生成



