Data visualization is a process in data analytics where visual representation communicates the data and insights to facilitate good data-driven decisions.

Virtualitics, which is developing software for data analytics and visualization, has raised $37 million in a venture funding round.

Data centralization and visualization can support strategic decision making by making complex data from multiple sources clear and easy to interpret.

New Tibco updates aim to improve analysis and data visualization with enhanced scalability, data streaming and integrated AI.

Data visualization is the graphical representation of information and data via visual elements like charts, graphs, and maps. It allows decision-makers to understand and communicate complex ideas ...

A multidisciplinary team of pharmaceutics and computer-science researchers at the University at Buffalo, one of very few teams in the nation applying DNA microarray technology in studies of multiple ...

Data visualization is not just an art form but a crucial tool in the modern data analyst's arsenal, offering a compelling way to present, explore, and understand large datasets. In the context of ...

Courtesy of CombiMatrix The research community's rapid acceptance of microarrays notwithstanding, technical challenges remain. Biochip developers continue to grapple with these issues while upgrading ...

To experience the breadth of Excel’s data visualization offerings, let’s take a tour of some of the most useful charts, starting with the basic ones and moving to the more advanced. To follow along, ...

For such data aggregation and subsequent visualization of information on flashy dashboards that people like to flaunt, there are a few mainstream options, with among ‘smart home’ users options ...

Fused, a new startup from some Uber mapping veterans, is building a platform to make it easier to visualize data coming off of satellites.

Microarrays are wonderful tools for seeing global patterns of gene expression under different conditions. Plenty of software exists to make sense of the data, but what if you want to correlate ...