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 ...
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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 ...
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, ...
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 ...
Figure 1: Example of an IPCC figure and aspects that might limit accessibility to non-experts. How can scientific graphics about climate change be made more accessible, while retaining their ...
Example of visualization of exhaled air (aerosol particles) emitted from the mouth of a moving mannequin by a particle tracking velocimetry system. The mannequin is moving from the right side of 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 ...