Replication Data for: Adaptive Multi-Interval Scale (AMIS): Graphical Visualization of a Unified Measurement Space

Le résumé fourni par la source

This dataset contains the empirical base and software tools used to verify the multi-plot method based on the Adaptive Multi-Interval Scale (AMIS), proposed in the article of the same name. The AMIS method solves the fundamental problem of comparing and jointly visualizing fundamentally heterogeneous quantities with incommensurable units of measurement and scales. Unlike classical approaches (radar charts, parallel coordinates), the AMIS multi-plot forms a unified dimensionless measurement space, where the X-axis displays the linear position of the parameter within the range boundaries (0–100%), and the Y-axis displays the unified AMIS scale (0–100 points). The transformation is based on the calculation of distribution reference nodes and piecewise linear interpolation. The dataset includes six contrasting heterogeneous parameters used to verify the method: education (% employment), age (years), weight (kg), average monthly temperature for January 2025 (°C), average history score in 11th grade (2–5), and GDP 2024 (billion USD). The parameters cover different types of distributions, units of measurement, and subject areas—from climatology and anthropometry to macroeconomics and education. The presented data and software code fully reproduce the results of the article, providing the opportunity for independent verification, further research, and practical application of the AMIS method in various subject areas. All materials are distributed under the CC BY 4.0 license. (2026-07-07)

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.