Multivariate 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 for several ...

The two terms data analysis and data visualization seem to have become synonymous in everyday language in the wider data community. Numerous job adverts focus on data visualization skills while not ...

With the development of next-generation sequencing (NGS) technologies and new sequencers, the exponential growth of biological information generated by the scientific community has brought benefits as ...

Area(s) of potential collaboration: Would like to collaborate with faculty who are interested in developing grant proposals that involve GIS and network analytics. Primary research focus: I study how ...

Reporters wrangle all sorts of data, from analyzing property tax valuations to mapping fatal accidents — and, here at Computerworld, for stories about and . In fact, tools used by data-crunching ...

The Air Force Cost Analysis Agency (AFCAA) offers multiple examples of data visualization tools being actively used for cost analysis, including the Air Force Total Ownership Cost (AFTOC) program ...

Editor’s note: This is the third article in a four-part series that is part of a larger initiative the AICPA Auditing Standards Board (ASB) has undertaken to understand and support technology use in ...

Here is a list of the best free statistical analysis software for Windows 11/10. If you have a large dataset of numerical data and want to evaluate and analyze it, this guide is for you. In this ...

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