This paper presents an innovative digital instrument, that uses the novel “Trichotomous Exploratory Data Analysis” [or “Tri–EDA”] as an alternative or supportive research model for traditional confirmatory and probability-based Bayesian statistical analyses. This research adds to the publication entitled, “Introducing Tri–Factor Analysis: A Model and Statistical Test of Performance, Efficacy, and Content for Electronics and Digital Learning Ecosystems” published in i-manager’s Journal on Electronics Engineering. This narrative provides an epistemological rational for the use of “Exploratory Data Analysis” statistical analytical models for the in–depth analysis of the transformative process of qualitative data into quantitative outcomes through the Tri–Squared Test first introduced in i-manager’s Journal on Mathematics, and further detailed in i-manager’s Journal on Educational Technology, Journal on School Educational Technology, and in Journal on Educational Psychology. Tri–Exploratory Data Analysis (Tri–EDA) is a series of graphical and visual statistical models that are a part of the Tri–Squared Calculator © created, designed, and developed by the author to report Tri–Squared Test outcomes and check the validity and reliability of Tri–Squared Test results. This is a novel approach to advanced statistical Tri–Squared reporting, adds considerable merit and value to the mixed methods approach of the trichotomous research design (that intrinsically involves the holistic combination and comparison of qualitative and quantitative data outcomes).