Data visualizations can significantly affect how people understand and interpret data. But data visualizations can be biased and exclusionary, perpetuating inequity and harmful stereotypes.

https://www.jstor.org/stable/10.7312/schw19310.3 Raise your hand if your approach to creating a graph goes something like this: You analyze some data. Write up the ...

The startup Observable is trying to echo GitHub with a free tool and platform for creating, sharing, and tweaking data visualizations. Creating sophisticated data visualizations may not be for ...

The famous 19th century graph by Charles Joseph Minard showing Napoleon’s troops during the invasion of Russia is an intersection of data, illustration and storytelling. The graph depicts three ...

Most data are subject to uncertainty: the possibility that the true values may be different from our estimates. The unknown is especially difficult to escape in forecasts — of the weather, economic ...

This story contains interviews with data visualization professionals Moritz Stefaner, Scott Murray, Benjamin Wiederkehr, partner at design and technology studio Interactive Things, data visualization ...

Why do we visualize data? Do data visualizations aim to inform audiences effectively? Or do they simply aim to catch people’s eye, providing the just gist of the data? This is a question which has ...

Kylin is an avid user of Android products and has been writing on Android hardware and software for over 5 years. He enjoys helping others learn new things that can help them get the most out of their ...

Introduction -- Part One: Principles of data visualization. 1. Visual processing and perceptual rankings -- 2. Five guidelines for better data visualizations -- 3. Form and function : let your ...