Submitted:
15 December 2025
Posted:
16 December 2025
You are already at the latest version
Abstract
In this field, several erroneous theories had long been accepted as fundamental laws and formulas. Recent corrections to these misconceptions were made possible through the application of Exploratory Data Analysis (EDA). This article outlines how EDA contributed to these breakthroughs and offers a brief guide for those wishing to begin using it themselves.
Keywords:
EDA
; R
; statistics
; data‐driven analysis
Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
