Interactive visual analytics tool for multidimensional quantitative and categorical data analysis

Abstract

With the advances in science and technology, a rapid growth of multidimensional (multivariate) datasets is observed in different fields. Projection and visualization of such data to a lower dimensional space without losing the data structure is a challenging task. We propose an interactive visual analytics tool that is applied for the combined analysis of multidimensional numerical and categorical data. The tool helps the analyst not only to find the clusters of similar objects but also to identify the important features specific to these clusters. The efficacy of the various functionalities of the tool is examined analyzing epidemiological data to understand the pathogenesis of obstructive sleep apnea. Our approach helps the user to visually analyze the data and get a better understanding of the data. The tool would be a valuable resource for analysts working on numerical and categorical data.

Explainable Mixed Data Representation and Lossless Visualization Toolkit for Knowledge Discovery

“…For instance, [33] focuses on existing lossy methods like 2-D projections and limited Star coordinates with visualizing only end points of the graphs making this visualization lossy relative to n-D data. In general, research on the lossless visualization of mixed nominal, ordinal, and numerical attributes and its contribution to the explainable machine learning is in the nascent stage.…”