In this post, we’ll highlight a few of our favorite visuals from 2025 and walk through how we made them and what makes them ...

R is an open-source programming language and environment with powerful and extensive features for data analysis, data visualization, and statistical computing. Although R first appeared in the 1990s, ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

We can all collect masses of data, but it only becomes genuinely useful when we use it to make a clear point. This is where data visualization comes in. Showing data in context and using creativity to ...

Colors are an effective medium for communicating meaning. Some have certain implicit psychological associations. Red, for example, is often associated with power, love, and anger. Blue might convey ...

Choosing the right way to visualize your data makes the difference between telling a clear, compelling story or creating cognitive overload. Here's how to pick. Data is best understood when presented ...

Decades ago, when structural biology was still in its infancy, structures were rare and structural biologists often dedicated years of their life to studying just one structure at atomic detail. The ...

Quantitative image analysis is rapidly becoming the bottleneck in high-throughput experiments that seek to gain new insights from advanced 3D microscopic digital images collected using multiple ...