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, ...

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 ...

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 ...

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 ...

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 ...

Data visualisation has always been a vital weapon in the arsenal of an effective analyst, enabling complex data sets to be represented efficiently and complex ideas to be communicated with clarity and ...

Now more than ever, visuals are used to relay facts and figures in business, politics and socioeconomics. Data visualizations, such as graphs, charts and tables, are commonplace in presentations. When ...