Data Normalization Calculator
Normalize a dataset using min–max scaling between 0 and 1.
Normalized Values:
—
Formula: (x − min) / (max − min)
Example
Data: 10, 20, 30
Min = 10, Max = 30
Result: 0, 0.5, 1
Min = 10, Max = 30
Result: 0, 0.5, 1
What does data normalization do?
Normalization rescales values to a common range, usually between 0 and 1, making datasets comparable and easier to analyze.
Why normalize data?
Data normalization is widely used in statistics, machine learning, data preprocessing, and analytics to prevent scale bias.
Frequently Asked Questions
What if all values are the same?
If all values are equal, normalization is not possible because the range is zero.
Does this use z-score normalization?
No. This calculator uses min–max normalization. For z-score scaling, use the Z-Score calculator.
Are negative values supported?
Yes. Negative numbers work normally.