Over 20 years of working with data, I have found that there are five simple rules to keep in mind when developing effective data visualizations that will help ensure that you meet these goals.

Data visualization has emerged as a powerful tool for enabling data-driven decision-making across diverse domains, including business, medicine, and scientific research. However, no comprehensive ...

Microsoft Visio is a user-friendly design tool that turns complex data and ideas into simple, appealing visuals, and a lifetime subscription just went on sale for $14.97 (reg. $249). Whether you ...

IVAAP is an HTML5 data visualization and collaborative platform for large Geoscience and petrophysical data sets in the cloud that empowers product owners, developers, and architects to accelerate ...

Since being established in 2014, the 3D Visualization Center has enabled UW to develop a community of innovative visualization users seeking to enhance their teaching, research, and entrepreneurial ...

This article from Tableau Software's Andy Cotgreave examines the core purpose of a data visualization: Is the goal to communicate an idea to an audience, or to foster engagement with the ...

Databot is an experimental alternative to querychat that works with R or Python. And it’s now available as an add-on for the ...

This year, my pitch on 5 data visualizations in R in 5 minutes, all in 5 lines of code or less was one of the winning proposals. Here is a version of that talk I recorded in advance.