An R package for interactive network visualization using the vis.js JavaScript library.
visNetwork is an R package that provides an interface to the vis.js JavaScript library for creating interactive network visualizations. It allows users to build, customize, and explore network graphs directly from R, making it easy to visualize relationships in data without switching to external tools.
R users, data scientists, and analysts who need to create interactive network visualizations for exploratory data analysis, research, or dashboard development within the R ecosystem.
Developers choose visNetwork because it combines the analytical power of R with the interactive capabilities of modern web visualization libraries, offering a seamless workflow for network analysis without requiring JavaScript expertise.
R package, using vis.js library for network visualization
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Seamlessly works with R data frames for nodes and edges, making it easy to integrate into existing R workflows, as demonstrated in the minimal example using data.frame objects.
Provides interactive features like zooming, dragging, and hover effects, with extensive customization options for node and edge styles through R functions, such as visNodes() and visEdges().
Can be embedded directly in Shiny applications for dynamic dashboards, with built-in examples provided in the package via shiny::runApp.
Offers direct access to the underlying JavaScript library's documentation via visDocumentation(), allowing users to leverage advanced features and troubleshoot effectively.
Visualizations require a JavaScript-enabled browser, making them unsuitable for server-side-only contexts like static reports without additional tools or workarounds.
While updates like those for visTree improve performance, handling very large datasets can be slow due to client-side rendering constraints, as hinted in the news about optimizations for large data.
Specifically designed for R users, so it cannot be used outside of R, limiting its applicability in mixed-language or non-R projects.