AssociationExplorer2 helps you explore associations between variables with an interactive Shiny interface. This short tutorial covers a typical first workflow.
In the app, either:
For CSV files, use comma separators and dot decimals.
Select the variables you want to explore and, if needed, a survey-weight variable. The app automatically adapts visualizations to variable types (numeric or categorical).
Use the minimum and maximum association thresholds to focus on weak, moderate, or strong relationships depending on your objective.
Use the network view to identify the strongest links, then inspect bivariate plots and summary tables to interpret the relationships in more detail.
Open the function reference for full details on launching the app:
run_associationexplorer() in the Reference tabIf you would like additional background, you can consult: