Abstract A Multivariate Statistical Data Pre-screening/Data Pre-processing Toolbox (Pre-Screen) has been designed and developed for use by practising process engineers and researchers who wish to pre-process process data prior to multivariate data analysis, process data modelling or building predictive and inferential models. Many commercial data analysis packages do not fully address the initial data cleaning and data conditioning tasks which can consume up to 80% of the modelling time. The software toolkit has been developed specifically with the aim of focusing on the industrial needs for the initial data pre-screening of large industrial data sets. The core feature of Pre-Screen is that it has been specifically developed to make the analysis of large data sets as fast and visual as possible, and accessible for both process and control engineers, analytical scientists and academic R&D without taking away the need for engineering science understanding. The toolbox builds on top of the MATLAB numerical computing environment, with powerful user interface procedures providing user friendly, mouse/menu driven software. The toolbox has been complied to allow use by those whom do not have access to MATLAB.

中文翻译：

---

用于数据预处理和多元统计过程控制的 MATLAB 工具箱

摘要 多元统计数据预筛选/数据预处理工具箱 (Pre-Screen) 已被设计和开发，供希望在多元数据分析、流程数据建模或流程数据建模之前对流程数据进行预处理的实践流程工程师和研究人员使用。建立预测和推理模型。许多商业数据分析包并没有完全解决初始数据清理和数据调节任务，这可能会占用多达 80% 的建模时间。该软件工具包是专门开发的，旨在关注大型工业数据集的初始数据预筛选的工业需求。Pre-Screen 的核心功能是专门开发的，使大数据集的分析尽可能快速和可视化，过程和控制工程师、分析科学家和学术研发人员都可以访问，而无需消除对工程科学理解的需求。该工具箱建立在 MATLAB 数值计算环境之上，具有强大的用户界面程序，提供用户友好的鼠标/菜单驱动软件。该工具箱已被编译为允许那些无权访问 MATLAB 的人使用。