ToolJovia
Data

Explicit Category Indicator Matrix

Add stable zero/one CSV indicators from your own categorical domains while retaining unknown and missing counts.

✓ Browser-local processing
Processed in this tab. Up to 100,000 characters unless this tool states a smaller limit.

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How to use Explicit Category Indicator Matrix

Prepare a reproducible categorical feature matrix with a visible mapping from source values to output columns. Unknown and missing values follow separate policies, and the original source columns remain available for review.

  1. Enter input, domain definitions json, exact missing tokens json.
  2. Choose the settings for explicit category indicator matrix, then run the tool.
  3. Review the result and any limitations before copying or downloading it.

Good to know

  • 5,000 records, 10 source columns, 100 total new indicator columns, 100 characters per supplied domain value and 350,000 output cell characters.
  • Exact case-sensitive strings only. Domains are supplied rather than learned; missing tokens must not be domain values. A zero vector can represent an allowed unknown or missing cell, and counts disclose both.
  • Processing is local. Output is limited to 1,000,000 text characters unless a stricter file limit is stated.

Common questions

Does this decide which category should be a statistical reference level?

No. It emits one indicator for every supplied value and makes no model, independence or reference-level choice. Select or drop features deliberately in the destination analysis.

Is this input sent to a server?

No. The application processes this input inside your browser tab and does not save it to persistent storage.

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