With the large amounts of data generated daily, effective data visualization helps visualize patterns and relationships, easily share information, and explore opportunities. This article lists the top ...

Data reproducibility can help you increase the credibility, transparency, and quality of your data visualization. R can help you with data reproducibility by providing several tools and packages ...

We’ve all heard that Big Data is the future. But according to Phil Simon’s new book The Visual Organization: Data Visualization, Big Data, and the Quest for Better Decisions, that may not be ...

This book is an update to our earlier R data visualization cookbook with 100 percent fresh content and covering all the cutting edge R data visualization tools. It is packed with practical recipes ...

The language's flexibility, extensive libraries, and active community make it a great choice for data visualization. Here’s why R is ideal for your data visualization projects: 1. Extensive ...

This repository holds the R Markdown source for the book "Fundamentals of Data Visualization" to be published with O’Reilly Media, Inc. A rendered version of the completed book chapters is available ...

Useful R packages in a handy searchable table. The table below shows my favorite go-to R packages for data import, wrangling, visualization and analysis — plus a few miscellaneous tasks tossed in.

Their tutorial on how to use R for data visualization, which specifically targets researchers who have little or no experience using R, is available via OSF at https://osf.io/bj83f/. 1 . Using R ...

In our digital sage, the practice of data visualization has gained even more importance. From scientific visualization to pop infographics, designers are increasingly tasked with incorporating ...