A User-Friendly 'shiny' Application for Exploring Associations and Visual Patterns R package AssociationExplorer2 version 0.1.5 A user-friendly 'shiny' application to explore statistical associations and visual patterns in multivariate datasets. The app provides interactive correlation networks, bivariate plots, and summary tables for different types of variables (numeric and categorical). It also supports optional survey weights and range-based filters on association strengths, making it suitable for the exploration of survey and public data by non-technical users, journalists, educators, and researchers. For background and methodological details, see Soetewey et al. (2025) <doi:10.1016/j.softx.2025.102483>. Software Depends: R (>= 4.1.0) Imports: shiny Suggests: visNetwork, ggplot2, plotly, dplyr, tidyr, readr, readxl, stringr, purrr, tibble, forcats, reactable, scales, igraph, knitr, rmarkdown, testthat (>= 3.0.0) Antoine Soetewey <antoine.soetewey@uclouvain.be> Comprehensive R Archive Network (CRAN) Antoine Soetewey [aut, cre] (ORCID: <https://orcid.org/0000-0001-8159-0804>), Cédric Heuchenne [aut] (0000-0002-3150-3044), Arnaud Claes [aut] (0000-0003-0716-0798), Antonin Descampe [aut] (0000-0002-0943-4126) MIT + file LICENSE (https://CRAN.R-project.org/package=AssociationExplorer2/LICENSE) 2026-01-13 application/tgz https://CRAN.R-project.org/package=AssociationExplorer2 doi:10.32614/CRAN.package.AssociationExplorer2