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 ...

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 ...

Benefits of VR and AR in Data Visualization. Modern datasets are multivariate. In order to have humans effectively analyze the complexity of data today without VR and AR, they have to manually ...

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 ...

Data Analysis versus Data Visualization. Data analysis is an exploratory process that often starts with specific questions. It requires curiosity, the desire to find answers and a good level of ...

The new version has greatly improved performance and is optimized for even better usability, security and reliability. The Unscrambler® X version 10.2 continues CAMO’s tradition of delivering powerful ...

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 ...