R Link Explorer New [top] Jun 2026

Let’s move from theory to practice. Below is a tutorial on creating a state-of-the-art link explorer using the latest versions of visNetwork and tidygraph .

<script> // ------------------------------- // R RESOURCE DATABASE (expandable) // ------------------------------- const rLinks = [ title: "R for Data Science (2e)", desc: "The classic online book by Wickham, Çetinkaya-Rundel & Grolemund. Learn tidyverse, data wrangling, viz.", category: "learning", url: "https://r4ds.hadley.nz/", tags: ["book", "tidyverse"] , title: "posit.co (formerly RStudio)", desc: "IDE, shiny, professional tools for R and Python.", category: "tool", url: "https://posit.co/", tags: ["ide", "tools"] , title: "CRAN Task Views", desc: "Curated lists of packages for machine learning, time series, spatial, etc.", category: "reference", url: "https://cran.r-project.org/web/views/", tags: ["packages", "guide"] , title: "RWeekly.org", desc: "Weekly news, tutorials, and community highlights about R.", category: "blog", url: "https://rweekly.org/", tags: ["news", "community"] , title: "ggplot2 extensions", desc: "Gallery + 100+ community packages extending ggplot2.", category: "packages", url: "https://exts.ggplot2.tidyverse.org/", tags: ["viz", "ggplot"] , title: "Shiny for Python & R", desc: "Interactive web apps with Shiny. Official docs with examples.", category: "tool", url: "https://shiny.posit.co/", tags: ["apps", "dashboard"] , title: "tidymodels", desc: "A unified framework for modeling and machine learning using tidyverse principles.", category: "packages", url: "https://www.tidymodels.org/", tags: ["ml", "modeling"] , title: "R Bloggers", desc: "Aggregator of R blogs from hundreds of sources.", category: "blog", url: "https://www.r-bloggers.com/", tags: ["articles", "tutorials"] , title: "Awesome R (GitHub)", desc: "A curated list of awesome R packages and frameworks.", category: "reference", url: "https://github.com/qinwf/awesome-R", tags: ["list", "curated"] , title: "RMarkdown Guide", desc: "Dynamic documents with R, knitr, and pandoc.", category: "learning", url: "https://rmarkdown.rstudio.com/", tags: ["reporting", "docs"] , title: "The R Graph Gallery", desc: "Hundreds of charts with reproducible R code.", category: "viz", url: "https://r-graph-gallery.com/", tags: ["ggplot", "visuals"] , title: "RStudio Cheatsheets", desc: "PDF cheatsheets for dplyr, ggplot2, shiny, purrr, and more.", category: "reference", url: "https://posit.co/resources/cheatsheets/", tags: ["cheatsheet", "quickref"] ]; r link explorer new