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 ...

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 ...

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 ...

At the core of digital transformation lies data democratization, the practice of making data accessible throughout all departments of a business, not simply the C-suite and IT team. Datasets are ...

For enterprises to compete in an increasingly crowded and distributed market, it’s critical they understand that modern applications require both operational processing of transactions and ...

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, ...

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 ...

When learning C++ data structures, have you ever felt dizzy from the complex jumps of pointers, the layers of recursion, or ...