1. What is Min-Max Normalization? +
Min-Max Normalization is a data preprocessing technique used to scale numeric features into a specific range, usually 0 to 1, without changing the shape of the original distribution.
2. What is the formula for Min-Max Normalization? +
The standard formula is x' = (x - min) / (max - min). For a custom range [a, b], the formula is x' = ((x - min) / (max - min)) * (b - a) + a.
3. How do I normalize data between 0 and 1? +
Simply enter your data in the input box, leave the Target Minimum as 0 and Target Maximum as 1, then click "Normalize Data".
4. Can I normalize data to a custom range? +
Yes. You can change the "Target Minimum" and "Target Maximum" inputs to any valid numbers, for example, -1 to 1, or 0 to 100.
5. What happens when all values are identical? +
If all input values are the same, the standard formula involves division by zero. This calculator handles it gracefully by mapping all values to the midpoint of your target range (a + b) / 2 to prevent errors.
6. What is the difference between Min-Max Normalization and Standardization? +
Min-Max scales data to a fixed range (e.g., 0-1) bounding the outliers. Standardization (Z-score) scales data to have a mean of 0 and standard deviation of 1, not bounding it to a specific range.
7. Is my data uploaded to a server? +
No. All calculations are performed entirely locally in your web browser. Your data is never uploaded to any server or cloud database.
8. Can I export normalized data to CSV? +
Yes, you can copy the values directly, copy them as CSV, or download a fully formatted CSV file using the export buttons provided in the results section.