数据透视表在数据分析中的应用

Application of Pivot Table in Data Analysis

天钢实际生产数据分析中的铁水产量统计分析、质量数据统计分析、物料库存管理分析等场景的数据分析需求需要花费大量时间和精力来完成。运用数据透视表工具,通过简单的数据预处理和便捷的操作,即可围绕同一个数据源,在短时间内按需生成相应的数据透视表,并可轻松地解决工作中的一些难题,极大地提升了技术分析、管理和工作的效率。

It takes a lot of time and efort to complete the analysis of the actual production data of Tianjin Iron and Steel Co. Ltd. such as the statistical analysis of molten iron output, the statistical analysis of quality data, the analysis of material inventory management and other scenarios. With the help of pivot table tools and simple data preprocessing and convenient operation, the pivot table can be generated on demand in a short time around the same data source, and some difficult problems can be solved easily. It greatly improves the efficiency of technical analysis, management and work.