High-throughput studies of biological systems are rapidly accumulating a wealth of 'omics'-scale data. Visualization is a key aspect of both the analysis and understanding of these data, and users ...

Developments in the multivariate analysis of compositional data were led by the work of Aitchison (Aitchison, 1983, 1999, 2003; Aitchison and Greenacre, 2002), but remained mostly ignored in ...

The terms data analysis and data visualization have become synonymous in everyday language in the wider data community, but the two are quite different. Data analysis is an exploratory process ...

Mona, the maker of an AI monitoring platform, has introduced a new automated exploratory data analysis tool to identify the root cause of anomalies in multivariate datasets. Multivariate data analysis ...

New release empowers manufacturers to improve quality and make smarter, data-led decisions on the shop floorTampa, Florida, June 24, 2025 (GLOBE NEWSWIRE) -- Advantive, a mission-critical software ...

The updated software enables data organization and decision making supported by multivariate models for single and multiblock analysis. The new software’s functionality features include usability ...

Research methods suitable for the analysis of big datasets containing many variables. The fundamentals of data visualisation, customer segmentation, factor analysis and latent class analysis with ...

Course TopicsMultivariate analysis in statistics is a set of useful methods for analyzing data when there are more than one variables under consideration. Multivariate analysis techniques may be used ...

lattice: Useful for creating multivariate data visualizations. Dedicated Visualization Tools. Gephi: An open source network analysis and visualization software package written in Java, perfect for ...