企业云机房服务器缺陷管控数据

通过采集企业云IDC机房服务器的运行情况数据，结合服务器的基础铭牌数据（厂家、型号、投运时间）、服务器出现的异常情况数据，分析服务器缺陷趋势，为机房服务器采购提供数据依据。（1）数据采集：通过Agent探针采集和手动录入的方式，采集运行数据；通过手动录入和Excel打入的方式录入基础铭牌数据和异常情况数据；（2）数据处理：对探针采集到的数据进行数据清洗和过滤，去除空值、无效值；（3）数据分析：通过计算公式，占比=（总缺陷次数-同类缺陷次数）/总缺陷次数，结合服务器的基础铭牌数据，统计分析同个型号、同个厂家、同个时间投运的服务器出现问题的趋势；（4）数据应用：使用BI工具按照厂家、型号、投运时间使用柱状图和折线图，展现服务器的缺陷统计数据。

This dataset is built by collecting operational data of servers in enterprise cloud IDC computer rooms, integrating basic nameplate data (manufacturer, model, commissioning time) of servers and abnormal event data of servers, to analyze server defect trends and provide data basis for server procurement in computer rooms.

(1) Data Collection: Operational data is collected via Agent probes and manual entry; basic nameplate data and abnormal event data are entered via manual entry and manual input via Excel spreadsheets.

(2) Data Processing: Perform data cleaning and filtering on the data collected by probes, eliminating null and invalid values.

(3) Data Analysis: Calculate the defect proportion using the formula: Proportion = (Total defect counts - Same-type defect counts) / Total defect counts. Combined with the basic nameplate data of servers, statistically analyze the fault trends of servers with the same model, same manufacturer and same commissioning time.

(4) Data Application: Use BI tools to generate bar charts and line charts categorized by manufacturer, model and commissioning time, to visualize the server defect statistical data.

搜集汇总

数据集介绍

特点

该数据集包含企业云IDC机房服务器的运行情况、基础铭牌数据和异常情况数据，规模为11368条，用于分析服务器缺陷趋势，为机房服务器采购提供数据依据。