A LITTLE HELP FOR YOUR NEXT TASK

Numeric Scaling & Normalization

Fit numeric transforms and apply saved parameters without refitting.

Private by design

Your inputs stay on your device and are not sent to our servers. Optional usage analytics does not receive your files or tool inputs.

Private data workspaceCSV · TSV · JSON · up to 5 MB

Understand it. Make it useful.

Open your data or try the working sample.

CSV, TSV or JSON recordsOpen a local UTF-8 file · 5 MB total

Headers are inspected locally after you add data.

Original files stay unchanged. No workbook is created.

Preparing private data workspace…

How to use Numeric Scaling & Normalization

Open or paste your data, or load the working sample.
Choose columns and explicit processing rules. Review the proposed result and warnings.
Download the chosen result dataset, JSON artifact or report; save a draft to continue later.

Read the detailed guide →

What are the limits of Numeric Scaling & Normalization?

Standardization uses population standard deviation; robust scaling uses median and interpolated IQR. Constant columns use a denominator of one, so fitted values become zero. Missing and nonnumeric values are rejected. Export fitted parameters and apply them to a separate dataset; keep train/test separation. Inputs stay in browser memory. No workbook is created. Table limits: 5 MB total text, 25,000 rows, 64 columns and 200,000 cells; expensive operations have stricter limits. Processing can be cancelled.