Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain trends, and present findings clearly across business, finance, product, and ...

UC San Diego cognitive scientist Philip Guo created Python Tutor, a free tool that makes code “visible” step by step. The research behind it earned a Test of Time award, recog ...

Abstract: Degree centrality (DC) is a widely used metric that measures node importance in data space. A node–link diagram is a commonly used graph visualization to help viewers identify important ...

Overview: Seaborn plots assist analysts in uncovering patterns within complex datasets.Python visualization tools enhance the ...

📢 [2026/02] CTINexus was presented as a tutorial at the PRISM Workshop (Co-located with NDSS). 📦 [2025/10] CTINexus Python package released! Install with pip install ctinexus for seamless ...

The new capability lets scientists simulate and visually inspect automated experiments before robots run them.

In recent years, more and more researchers have reflected on the undervaluation of emotion in data visualization and highlighted the importance of considering human emotion in visualization design.