Data and Code for: "Universal Adaptive Normalization Scale (AMIS): Integration of Heterogeneous Metrics into a Unified System"https://doi.org/10.7910/DVN/BISM0NKravtsov, GennadyHarvard Dataverse2025-11-122025-11-12T16:15:56ZDataset Title: Data and Code for: "Universal Adaptive Normalization Scale (AMIS): Integration of Heterogeneous Metrics into a Unified System" Description: This dataset contains source data and processing results for validating the Adaptive Multi-Interval Scale (AMIS) normalization method. Includes educational performance data (student grades), economic statistics (World Bank GDP), and Python implementation of the AMIS algorithm with graphical interface. Contents: - Source data: educational grades and GDP statistics - AMIS normalization results (3, 5, 9, 17-point models) - Comparative analysis with linear normalization - Ready-to-use Python code for data processing Applications: - Educational data normalization and analysis - Economic indicators comparison - Development of unified metric systems - Methodology research in data scaling Technical info: Python code with pandas, numpy, scipy, matplotlib dependencies. Data in Excel format.Computer and Information ScienceSocial Sciencesdata normalizationadaptive scalingeducational analyticsmetric integrationheterogeneous datastatistical distributionPython implementationeducational assessmentGDP analysisAMISКравцов, Г. (2025). НОРМАЛИЗАЦИЯ ШКАЛЫ ИНТЕНСИВНОСТИ УЧЕБНЫХ ЗАНЯТИЙ В АНАЛИТИЧЕСКОМ МЕТОДЕ КОНТРОЛЯ ОБРАЗОВАНИЯ (Version v1) [Data set]. НИЦ Прикладная статистика. https://doi.org/10.5281/zenodo.17374975, doi, https://doi.org/10.5281/zenodo.175880542025-11-12Kravtsov, Gennady2025-11-12CC0 1.0