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The subtle Power of ggraph for Relational Database

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Announcing ggraph: A grammar of graphics for relational data I am absolutely thrilled to announce that  ggraph  has finally been released on CRAN.  ggraph  is my most ambitious package to date and its very early genesis has been described in a  prior post . If any mention of  ggraph  is completely new to you, then in short terms  ggraph  is an extension of the  ggplot2  API to support relational data such as networks and trees. I feel fairly confident in saying that  ggraph  is the most powerful way to create static network based visualizations in R. Leading up to the release, the three main concepts of  ggraph  has been described in detail in their own blog posts ( layouts ,  nodes , and  edges ) so this will not be reiterated here. Instead I’ll talk a bit about the philosophy behind the package as well as show of some of the features that do not fall into any of the three main concepts. The Philosophy There is no shortage of software for creating network visualizations and