Anthropic is rolling out a new feature that lets Claude generate interactive charts, diagrams, and other visuals directly within its responses, helping users better understand complex topics and data.

Carbondale Area Junior/Senior High School Computer Club members recently participated in the second annual Data Science Day at the University of Scranton.

Abstract: The online data visualization system serves as a crucial component of the data acquisition (DAQ) system, providing swift, efficient, and comprehensive real-time monitoring of the readout ...

Every year, designers at Pew Research Center create hundreds of charts, maps and other data visualizations. We also help make a range of other digital products, from “scrollytelling” features to ...

WASHINGTON – The U.S. Army is advancing its personnel readiness capabilities with data-driven tools that provide leaders with real-time insight into the health and status of every military ...

Advanced data visualization and analytics have become central to enterprise IT strategies as organizations face rapid data growth from cloud services, software-as-a-service applications, edge devices, ...

Purdue University's online Master's in Data Science will mold the next generation of data science experts and data engineers to help meet unprecedented industry demand for skilled employees. The ...

Businesses have spent the past decade or more amassing vast amounts of data on customers, sales, and nearly everything else measurable. Yet everyday employees—and even C-suite leaders—often struggle ...

Data visualizations are some of the most powerful tools in a climate science communicator’s playbook. The most famous have taken on enormous symbolic value—like the “Hockey Stick” graph showing rising ...

What makes a data visualization truly memorable? Is it the sleek design, the clever use of color, or the ability to distill complex information into something instantly understandable? The truth is, ...

For decades, visualization was the final stop on the data journey. It was optional—"good to have" on top of data analytics. Analysts would gather numbers, then clean and process, and only at the end ...