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, ...

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 ...

Imagine tapping into a raw data feed from a distributed network of IoT devices in a logistics center. The center is full of robots, employee work stations, and shipping and receiving docks. The data ...

According to renowned AT&T Bell Telephone Laboratories statistician John Tukey, “data may not contain the answer. The coordination of some data and an aching desire for an answer will not ensure that ...

Data visualisation and computational methods have increasingly converged to address the challenges of interpreting complex, high‐dimensional datasets across diverse disciplines. By integrating ...

Data visualizations can affect whether and how people understand and interpret data. Researchers and writers using data visualizations face choices about which data to use or emphasize. Those ...

Count me among the believers that the present era of growing transparency and access to data is one of the most transformative trends of our time. But as always, the trend may not be as positive as it ...

Have you ever recognized someone but had trouble recalling their name? Or perhaps you've felt as if you had met someone before but couldn't place where? It turns out that this phenomenon is something ...