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 ...

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 ...

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 ...

Speculative visualization is a branch of speculative design, which deals with the “rhetorical strategy” used in design to bring awareness to social and political agendas (Kim & DiSalvo, p. 1). This ...

Geoff McGhee is a journalist and data visualizer at Stanford University’s Bill Lane Center for the American West. Data Points is a new series where we explore the world of data visualization, ...

These days we have a ton of geospatial data coming off the increasing numbers of satellites circling in our atmosphere, but it takes some serious processing power and engineering prowess to turn that ...

Data can often feel overwhelming—rows upon rows of numbers, scattered information, and endless spreadsheets that seem to blur together. If you’ve ever stared at a dataset wondering how to make sense ...

Embedding analytics in applications is a smart way to expose insights and decision-making capabilities directly in employee workflow and customer-facing apps. Today, many organizations are developing ...