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, ...

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 ...

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 ...

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 ...

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 ...

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 ...

Understanding data visualization technologies is critical to recognizing and responding to enrollment trends and patterns — particularly for community colleges facing precipitous decline. As a ...

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, ...

When Stephen Goldsmith was deputy mayor of New York City in 2010 and 2011, the city was working on processes to make data available to the public. “We have now gone from fulfilling that transparency ...