Applying topological data analysis ball mapper in Stata

Simon Rudkin and Wanling Rudkin
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Wanling Rudkin: University of Exeter

UK Stata Conference 2026 from Stata Users Group

Abstract: Multivariate datasets are mappable to a multidimensional space in which the coordinate of a data point in each dimension corresponds to the value of a given variable observed for that data point. In two dimensions, with two variables, the result is a scatterplot. Extending the number of variables creates a visualization challenge. This presentation introduces the ballmapper package for implementing topological data analysis ball mapper (TDABM) in Stata. TDABM creates an abstract, topologically faithful, two-dimensional visualization of a dataset without requiring dimensionality reduction or information loss. The value of TDABM is being realized by a growing corpus of applications papers in the humanities and natural sciences. First, the need for TDABM is introduced. Second, the TDABM algorithm is briefly explained through illustrations from the Stata package. Finally, an example implementation is shown such that users can understand how to visualize their own data in Stata.

Date: 2026-09-05
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Persistent link: https://EconPapers.repec.org/RePEc:boc:lsug26:09

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