The Multidimensional Visual Analyser (MVA)Golob, Ožbej (Avtor) Smrdel, Aleš (Mentor) Andrews, Keith (Komentor) web applicationanalysis toolvisual analyserinformation visualizationmultidimensional datasetsscatterplot matrixscatterplotsimilarity mapparallel coordinateslabelled partitionsNodeJavaScriptTypeScriptSvelteFlowbiteD3Three.jsThe Multidimensional Visual Analyser (MVA) is an open-source web application for visually exploring and analyzing multidimensional datasets. MVA combines the best features from the reviewed multidimensional visual analysis software and implements them as both a web and desktop application. It provides four synchronized visualizations: scatterplot matrix, scatterplot, similarity map, and parallel coordinates, together with labeled partitions (classes) and a table view. In particular, the parallel coordinates implementation is highly interactive and also displays categorical dimensions. The application is built with Node, TypeScript, Svelte, Flowbite, D3, and Three.js. By rendering records withWebGL, MVA maintains its performance even when handling rather large datasets. MVA can be built and deployed as a web application, and can also be built as a desktop application through Tauri. This thesis first reviews popular multidimensional visual analysis approaches and existing software tools. It then surveys modern web technologies, before describing MVA in detail. Two appendices provide a User Guide and Developer Guide.20242024-09-26 12:00:02Magistrsko delo/naloga162710sl