­­Wiz: A Web-Based Tool for Interactive Visualisation of Big-Data

• DOI: 10.2139/ssrn.3624426
• Publication Date: 2020-06-12T12:46:03Z
• Authors: Christopher Balzer; Rama Octavian; Mohammad Zandi; David Fairen-Jimenez; Peyman Z. Moghadam
• Keywords: data visualisation for Industry 4.0; 0303 health sciences; web app; Descriptor; interactive plots; digitalization; principle component analysis; 004; QA76.75-76.765; 03 medical and health sciences; big data; data visualization; multi-dimensional data analytics; Computer software

In an age of information, visualising and discerning meaning from data is as important its collection. Interactive visualisation addresses both fronts by allowing researchers to explore beyond what static images can offer. Here, we present Wiz, a web-based application for handling visualizing large amounts data. Wiz does not require programming or downloadable software use allows scientists non-scientists unravel the complexity splitting their relationships through 5 dimensional (5D) visual analytics, performing multivariate analysis such principal component linear discriminant analyses, all in vivid, publication-ready Figures. With explosion high-throughput practices materials discovery, information streaming capabilities emphasis on industrial digitalization, artificial intelligence, expect serve invaluable tool have broad impact our world big-data.