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 ...

The coronavirus crisis has shown how easily a poorly drawn or chosen map, chart, or data visualization can be misinterpreted, with potentially grave consequences. In one recent example, researchers ...

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 ...

SMU Office of Research – It is predicted that by 2025, almost three quarters of the internet users in the world will be mobile-only users. While mobile devices provide ready access to data, there are ...

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

DESPITE THE relatively recent advent of data journalism and visualisation, the practice of analysing data is an old one. In 1786 William Playfair, a Scottish engineer and secret agent, invented the ...

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 ...

How would you deliver an impactful one-hour talk on data visualisation? I would say dress well, speak well, and talk relevantly. Start with what visualisation means and why it is essential to ...