To fully visualise the intricate interactions among the mechanical, chemical and physical characteristics of materials sharing the same chemical formula, this project employs advanced data analytics in conjunction with a Power BI dashboard. Although these materials possess identical chemical compositions, variations in structural arrangements and manufacturing processes generate significant differences in their measurable properties. Such distinctions directly influence their functional performance and industrial applicability. This research systematically analyses variations in key attributes, including density, volume and band gap energy, through the application of advanced data mining algorithms. These computational methods are integrated into an interactive Power BI dashboard designed to facilitate intuitive and dynamic data exploration. By combining statistical modelling with visual analytics, the study establishes a structured comparative framework that reveals relationships between processing techniques, structural configurations and resulting performance outcomes. The findings indicate that even minor alterations in structural arrangement can produce substantial changes in
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