Introduction

Building on Min-Max Scaling, Range Adjustment allows data to be rescaled to fit a specific range, rather than defaulting to 0–1.

This is useful for datasets with predefined bounds (established limits) or when standardised scaling is required to align with other metrics.

By maintaining relative proportions between data points, Range Adjustment ensures that the rescaled values remain interpretable within the new range.

For instance, rescaling player heights from inches to a range of 50–100 preserves their comparative differences while adapting to a bounded format.

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Relative preservation of values