Grapes are a widely available fruit crop and extensive sources of bioactive compounds. Taiwan has emerged as a grape-producing country and has developed a new commercial grape variety referred as Kyoho (Vitis labruscana) (Sridhar & Charles, 2019). Grape skins, seeds, flesh, and stalks are potential sources for the extraction of bioactive compounds, providing the highest impact on grape economy (Sridhar & Charles, 2020). Generally, application of statistics in modern science have received great attention to prove scientific evidence based on selected hypotheses. Analysis of variance (ANOVA) is a statistical tool for researchers to address the effect of controlled factors (the independent variables) and interactions on a single response (the dependent variable). Therefore, the scientific community widely used statistical tools for addressing the key factors in research of bioactive compounds. For example, research by José Jara-Palacios et al. (2018) and Shiraishi et al. (2018) used ANOVA for processing data of antioxidant activities of grape extracts. Nonetheless,ANOVA failed to provide detailed information on more than one variable in a study. For many decades, research in food science and technology has focused on the reductionist approach (e.g., one variable at times) and thus stated this approach as "unreal world view" (Roberts & Cozzolino, 2016). This is the main challenge