区块链供应生产系统用户活跃度数据

本数据集的应用场景如下：1.产品改进决策：通过了解区块链供应生产系统的用户活跃度数据，有助于指导产品团队对系统进行改进。2.营销效果评估：本数据的用户活跃度是长期积累的，可用于公司评估区块链供应生产系统的市场营销效果。3.行业分析：行业分析者可参考本数据来分析区块链行业的用户行为和市场趋势，为整个行业提供宏观的视角。4.投资决策：本数据可为投资者评估区块链技术应用的市场受欢迎情况提供参考，从而做出明智的投资决策。5.政策制定：对于政府部门而言，用户活跃度数据可以其作为了解区块链行业市场运行状况的一个指标，帮助制定相关政策和监管措施。1.数据采集和预处理：（1）从公司运营的区块链供应生产系统的日志中，收集日期、当日访问次数A、当日访问人数B、当日节点监控功能使用次数C、当日资产管理功能使用次数D、当日封装进度跟踪功能使用次数E、当日生产排期自动化功能使用次数F等数据。（2）对收集的数据进行清洗，检查并去除异常数据点。
2.设置事件权重：（1）将原始数据字段划分为2个组别，A-B为一组，记为X组，C-F为一组，记为Y组。（2）X组、Y组的权重值均设置为100。（3）X组中，A与B的权重值均设置为50。（3）Y组中，C、D、E、F的权重值分别设置为30、26、24、20；权重值综合考虑功能的使用频率和重要性确定。
3.计算当日用户活跃度：当日用户活跃度=[（A*50+B*50）+（E*30+D*26+F*24+C*20）]/200。

First, the application scenarios of this dataset are as follows:
1. Product improvement decision-making: By obtaining the user activity data of the blockchain supply and production system, it can help guide the product team to make improvements to the system.
2. Marketing effect evaluation: The user activity data in this dataset is accumulated over a long period of time, which can be used by the company to evaluate the marketing effect of the blockchain supply and production system.
3. Industry analysis: Industry analysts can refer to this dataset to analyze user behaviors and market trends in the blockchain industry, providing a macro perspective for the entire industry.
4. Investment decision-making: This dataset can provide references for investors to evaluate the market popularity of blockchain technology applications, so as to make informed investment decisions.
5. Policy formulation: For government departments, user activity data can serve as an indicator to understand the market operation status of the blockchain industry, helping to formulate relevant policies and regulatory measures.

1. Data collection and preprocessing:
(1) Collect data including date, daily access count A, daily unique visitors B, daily usage times of the node monitoring function C, daily usage times of the asset management function D, daily usage times of the packaging progress tracking function E, and daily usage times of the production scheduling automation function F from the logs of the blockchain supply and production system operated by the company.
(2) Clean the collected data, check and remove abnormal data points.
2. Event weight setting:
(1) Divide the original data fields into two groups: Group X consists of A and B, while Group Y consists of C, D, E and F.
(2) Set the weight value of both Group X and Group Y to 100.
(3) In Group X, set the weight values of A and B to 50 respectively.
(4) In Group Y, set the weight values of C, D, E and F to 30, 26, 24 and 20 respectively; the weight values are determined by comprehensively considering the usage frequency and importance of the corresponding functions.
3. Calculate daily user activity: Daily user activity = [(A*50 + B*50) + (E*30 + D*26 + F*24 + C*20)] / 200.

搜集汇总

背景与挑战

背景概述

区块链供应生产系统用户活跃度数据是由杭州字节方舟科技有限公司提供的企业数据，记录了用户活跃度的详细指标，并通过特定算法计算当日用户活跃度。数据集每日更新，适用于产品改进、营销评估、行业分析等多种应用场景。