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, ...

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 ...

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 ...

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 ...

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 ...

See our top data 8 visualization tools, including Tableau, Power BI and Google Looker, learn why we selected each and understand how to determine the best visualization tool. Data visualization tools ...

In today's fast-paced and ever-evolving landscape of clinical trials, the ability to efficiently analyze and visualize data has become paramount. The vast amounts of data generated from these trials ...

Quantitative image analysis is rapidly becoming the bottleneck in high-throughput experiments that seek to gain new insights from advanced 3D microscopic digital images collected using multiple ...

What Is Data Literacy, and Why Is It Important? Your email has been sent Data literacy, the ability to read, understand, analyze and communicate information, helps ...