关于派克服批发意向分析数据

通过收集和分析批发商对派克服类产品相关数据,了解批发商的采购水平和意向度，从而了解该产品是否畅销，从而为本行业的所有企业制定生产策略，更好地为批发商提供个性化的产品和服务1、数据处理：对采集到的数据进行降噪、清洗、脱敏、聚集、分析。 2.数据加工:重复率评分=满分上限100-(ROUND(重复批发排名/总记录数（3116）*100,2)；单笔评分=满分上限100-(ROUND(单笔批发最大金额排名/总记录数（3116）*100,2)；平均分=（RFM评分+重复率评分+单笔评分）/3；综合得分=ROUND(SQRT(((RFM评分-平均分)^2+(重复率评分-平均分)^2+(单笔评分-平均分)^2)/3),2)；得到的综合评分：0-10分标记为“高意向度批发商”，10-25分区间内标记为“中意向度批发商”，25分以上标记为“低意向度批发商”。

By collecting and analyzing relevant data of parka products from wholesalers, this dataset aims to understand the procurement level and purchase intention of wholesalers, so as to evaluate whether the product is a bestseller, and formulate production strategies for all enterprises in the industry to better provide personalized products and services for wholesalers.
1. Data Processing: Denoise, clean, anonymize, aggregate and analyze the collected data.
2. Data Scoring:
- Repeated Rate Score = 100 (full score) - ROUND( (Ranked count of repeated wholesale transactions / Total records (3116)) * 100, 2 )
- Single Transaction Score = 100 (full score) - ROUND( (Ranked maximum single wholesale transaction amount / Total records (3116)) * 100, 2 )
- Average Score = (RFM Score + Repeated Rate Score + Single Transaction Score) / 3
- Comprehensive Score = ROUND( SQRT( ((RFM Score - Average Score)^2 + (Repeated Rate Score - Average Score)^2 + (Single Transaction Score - Average Score)^2) / 3 ), 2 )
Wholesalers are classified based on their comprehensive scores:
- "High-intention Wholesalers": comprehensive score of 0-10
- "Medium-intention Wholesalers": comprehensive score of 10-25
- "Low-intention Wholesalers": comprehensive score above 25

搜集汇总

数据集介绍

特点

该数据集包含3116条派克服批发商数据，通过RFM评分、重复率评分和单笔评分等指标综合评估批发商的意向度，用于了解批发商的采购水平和意向度，为企业制定生产策略提供支持。