A research team led by the University of Tsukuba has revolutionized the visualization of neuronal activity in the brain through a simplified mathematical analysis. Previous methods of visualizing ...

Visualization and artificial intelligence (AI) are well-applied approaches to data analysis. In complex data analysis scenarios, like epidemic traceability and city planning, humans need to understand ...

The social science data analysis and visualization minor introduces students to the fundamentals and current innovations of research and data analysis across social science disciplines. It equips ...

The OmicsSuite native innovation framework architecture and the integration of the Posit Shiny framework. The yellow arrows show logical steps, while the blue arrows indicate datasets inputs and ...

With the advent of the exascale supercomputing era, computational scientists can run simulations at higher resolutions, add more detailed physical phenomena, increase the size of the physical problems ...

Topological data analysis (TDA) is a methodology designed to study qualitative properties (shapes) of data using topological, statistical, and computational ideas. This topological framework has ...

Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of ...

ABB ROBOTICS released the modular OptiFact ™ software platform that streamlines data collection, visualization, and analysis in automated production facilities, so users can collect, manage, and ...

Have you ever wondered how much time you could save if the most tedious parts of data analysis were handled for you? Imagine a world where cleaning messy datasets, visualizing trends, or even ...