Calculator Input
Paste a dataset, pick the delimiter, choose header handling, and calculate scaled values for every numeric column.
Example Data Table
This sample illustrates positive, negative, decimal, and text values in the same dataset.
| Feature_A | Feature_B | Feature_C | Segment |
|---|---|---|---|
| -15 | 120 | 0.30 | A |
| 8 | -90 | 0.75 | B |
| 22 | 150 | -0.10 | A |
| -30 | 60 | 1.20 | C |
| 12 | -45 | 0.55 | B |
Formula Used
Max Abs scaling divides each numeric value by the largest absolute value in the same column.
Scaled value = x / max(|x₁|, |x₂|, |x₃|, ..., |xₙ|)
If a numeric column contains only zeros, the scaled result stays zero for that column.
This method preserves zero, keeps negative signs, and avoids shifting data around the mean. It is useful when you want comparable feature magnitude without destroying sparsity patterns.
How to Use This Calculator
- Paste your table into the dataset box using one row per line.
- Choose the matching delimiter such as comma, tab, pipe, or semicolon.
- Keep the header option checked if the first row contains column names.
- Select the number of decimal places for scaled output.
- Press the calculate button to generate summaries, tables, and the chart.
- Download the transformed dataset as CSV or capture the results block as PDF.
Frequently Asked Questions
1. What does Max Abs scaling do?
It divides each numeric value by the largest absolute value in the same column. The scaled output usually falls between -1 and 1, while preserving the original sign of every nonzero value.
2. When is this method useful?
It works well when your data contains sparse features, signed values, or already meaningful zero points. It reduces magnitude differences without centering the data around the mean.
3. Does it handle negative numbers correctly?
Yes. Negative values stay negative after scaling. The method only divides by the largest absolute magnitude in the column, so direction and sign are preserved.
4. What happens to text columns?
Text values are left unchanged. This page scales only numeric columns, which helps preserve labels, categories, IDs, or segment names inside mixed datasets.
5. What if a column contains only zeros?
A zero-only numeric column has a maximum absolute value of zero. In that case, the calculator returns zero for the scaled values and marks the column accordingly.
6. Is this the same as standardization?
No. Standardization uses the mean and standard deviation. Max Abs scaling uses only the largest absolute value, so it does not center the column or change sparsity structure.
7. Can I use tab-separated or pipe-separated data?
Yes. The delimiter selector supports comma, semicolon, tab, and pipe formats. Choose the same delimiter your dataset uses before calculating.
8. Why compare original and scaled values in the chart?
The chart helps you inspect how feature magnitude changed after scaling. It is useful for checking sign retention, range compression, and whether the selected column behaved as expected.