2024/11/29 by Amit Chinwan, Chinwan, Amit, Catherine Hurley +1
Mathematics · #Computation (stat.CO) #FOS: Computer and information sciences #Statistical Methods and Applications
paper · pdf · doi:10.48550/arxiv.2411.19830
openalex publication_date 2024/11/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
We provide a pipeline for calculating, managing and visualising correlations and other pairwise association scores for numerical and categorical data. We present a uniform interface for calculating a plethora of pairwise scores and propose a tidy data structure for organising the results. We also provide new visualisations which simultaneously show multiple and/or grouped pairwise scores. The visualisations are far richer than a traditional heatmap of correlation scores, as they help identify relationships with categorical variables, numeric variable pairs with non-linear associations or those which exhibit Simpson's paradox. These methods are available in our R package bullseye.