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: An increase in any single underlying variable must proportionally shift or maintain the aggregated output value.

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Because raw data points often use entirely different units of measurement, normalization scales all inputs into a universal, standardized numerical range (typically [0, 1] ). This step ensures large-scale variables don't accidentally drown out smaller, equally vital indicators. 4. Computational Aggregation : An increase in any single underlying variable