Interactive data visualization in Python transforms static charts into dynamic tools for exploration. Using Matplotlib with ipympl in JupyterLab allows zooming, panning, and real-time updates.

Bioinformatician Viraj Muthye emphasizes the importance of visuals in translating scientific findings and engaging people ...

Python’s visualization ecosystem in 2026 combines mature libraries like Matplotlib 3.10, Seaborn, and Plotly 6 with AI-driven platforms that produce visuals from data or text. Services such as Canva ...

GeekWire chronicles the Pacific Northwest startup scene. Sign up for our weekly startup newsletter, and check out the GeekWire funding tracker and VC directory. by Todd Bishop on Apr 6, 2026 at 5:02 ...

Discover how Tableau Data Visualization, BI dashboards, and Tableau Prep work together as a powerful data visualization tool for interactive charts, cleaner data, and clearer data storytelling.

This article is not about ethics, privacy, security, ownership, or corporate governance — I am going to circumvent all of this here by using some made-up data relating to supermarket sales: Here, I ...

A software engineer and book author with many years of experience, I have dedicated my career to the art of automation. A software engineer and book author with many years of experience, I have ...

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 ...

Abstract: Although data visualization is powerful for revealing patterns and communicating insights, creating effective visualizations requires familiarity with authoring tools and often disrupts the ...