ballmapper: Applying Topological Data Analysis Ball Mapper in Stata

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Authors: Simon Rudkin, Wanling Rudkin
Cited by: 0

Abstract

Topological Data Analysis Ball Mapper (TDABM) offers a model-free visualization of multivariate data which does not necessitate the information loss associated with dimensionality reduction. TDABM Dlotko (2019) produces a cover of a multidimensional point cloud using equal size balls, the radius of the ball is the only parameter. A TDABM visualization retains the full structure of the data. The graphs produced by TDABM can convey coloration according to further variables, model residuals, or variables within the multivariate data. An expanding literature makes use of the power of TDABM across Finance, Economics, Geography, Medicine and Chemistry amongst others. We provide an introduction to TDABM and the \texttt{ballmapper} package for Stata.

Fields of Study & Subjects

Topological and Geometric Data Analysis Morphological variations and asymmetry Data Visualization and Analytics

Publication details

Journal / source
arXiv (Cornell University)
Publication date
1 January 2026
Document type
Preprint