rescaling methods

Rescaling methods are techniques used to adjust data so it fits within a specific range or scale, making comparisons and analysis more meaningful. For example, if different measurements have vastly different units or ranges, rescaling ensures they are comparable. Common methods include min-max scaling, which adjusts data to fit between 0 and 1, and standardization, which transforms data to have a mean of zero and a standard deviation of one. These techniques help prevent certain variables from dominating analysis due to their size, leading to more balanced and accurate insights in data processing.