Data and Code for: \"Universal Adaptive Normalization Scale (AMIS): Integration of Heterogeneous Metrics into a Unified System\"

Dataset 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.