Overview: Learning the proper data visualization tools helps turn complex data into actionable insights.Business intelligence ...

Real-World Outcomes in Patients With Metastatic Renal Cell Carcinoma Treated With First-Line Nivolumab Plus Ipilimumab in the United States LFSPROShiny implements two models that have been validated ...

Learn how to make everything from basic line graphs to racing bar charts — all interactive and easily animated — with the echarts4r R package. While I’m mostly settled on ggplot2 for static plots, I’m ...

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 propose a rudimentary taxonomy of interactive data visualization based on a triad of data analytic tasks: finding Gestalt, posing queries, and making comparisons. These tasks are supported by three ...

There has been much discussion about the “black box” problem of neural networks. Sophisticated models can perform well on predictive workloads, but when it comes to backtracking how the system came to ...

It’s time to add another treasure to our folder of enlightening scientific visualizations, which has grown thick over the past few years thanks in large part to researchers attempting to understand ...

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 ...