Data Normalization Calculator — Formula
## How to Normalize Data (Min-Max)
### Formula
**Normalized = (X - Min) / (Max - Min)**
Min-max normalization rescales data to the [0, 1] interval. The minimum maps to 0 and the maximum maps to 1. This is useful when features have different scales and you need them comparable, such as in machine learning preprocessing.
### Formula
**Normalized = (X - Min) / (Max - Min)**
Min-max normalization rescales data to the [0, 1] interval. The minimum maps to 0 and the maximum maps to 1. This is useful when features have different scales and you need them comparable, such as in machine learning preprocessing.
Exemplo Resolvido
Dataset ranges from 20 to 100. Normalize the value 75.
- Range = 100 - 20 = 80
- Normalized = (75 - 20) / 80 = 55 / 80 = 0.6875
- 75 is 68.75% of the way from min to max