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, ...

Content has come a long way since the beginning of the web. Along with the Internet, it too has evolved. In the early days content consisted of words and a few images. Eventually infographics began ...

Time may seem scarcer than ever, but fortunately technological advancements have presented auditors with many tools to improve the effectiveness and efficiency of audits. One such tool is data ...

The Air Force Cost Analysis Agency (AFCAA) offers multiple examples of data visualization tools being actively used for cost analysis, including the Air Force Total Ownership Cost (AFTOC) program ...

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 ...

Data visualization is emerging as the best way to understand the massive data streams and the events in our lives that shape who we are, where we live and the communities that define our interactions.

The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in. The package names in the table are clickable if ...

Colors are an effective medium for communicating meaning. Some have certain implicit psychological associations. Red, for example, is often associated with power, love, and anger. Blue might convey ...