Why the Standard Data Processing should be changed

TL;DR

This paper argues that traditional statistical data processing methods are outdated and proposes a new approach that enhances the reliability of data analysis and visualization, supported by implementation and examples.

Contribution

It introduces a novel data representation method that addresses issues in standard processing, improving accuracy and reliability in data analysis.

Findings

The new method reduces errors in data representation.

Implementation in Consensus5 demonstrates improved data visualization.

Examples show significant reliability improvements over traditional methods.

Abstract

The basic statistical methods of data representation did not change since their emergence. Their simplicity was dictated by the intricacies of computations in the before computers epoch. It turns out that such approach is not uniquely possible in the presence of quick computers. The suggested here method improves significantly the reliability of data processing and their graphical representation. In this paper we show problems of the standard data processing which can bring to incorrect results. A method solving these problems is proposed. It is based on modification of data representation. The method was implemented in a computer program Consensus5. The program performances are illustrated through varied examples.