A new VS Code extension called Nogic visualizes codebases as interactive graphs and drew strong interest on Hacker News. Commenters praised the concept for understanding large or unfamiliar codebases, ...

Public trust in the media and in data has been undercut by information overload, relentless social media cycles, and targeted influence campaigns. Whether driven by politics, social movements, or ...

Autolane brings its technology to The Domain ® and Barton Creek Square TM in Austin, Texas, and Stanford Shopping Center ® and Great Mall ® in the San Francisco Bay Area. The system coordinates ...

Harrison Barnes used a visualization tool to help him improve. Illustration: Dan Goldfarb / The Athletic; Logan Riely / NBAE / Getty Images Editor’s note: This story is part of Peak, The Athletic’s ...

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 ...

ABSTRACT: This article explores the use of Support Vector Machines (SVM) for diagnosing diabetes based on fourteen medical and behavioral variables. Following a theoretical overview of diabetes and ...

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 to ...

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, ...

1 Faculty of Mathematics and Computer Science,, Felix Houphouët-Boigny University, Abidjan, Côte d’Ivoire. 2 Institute for Mathematical Research (IRMA), Abidjan, Côte d’Ivoire. 3 Higher Teacher ...

The word “Schlieren” is German, and translates roughly to “streaks”. What is streaky photography, and why might you want to use it in a project? And where did this funny term come from? Think of the ...

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 ...