CSV Ordered Window Features
Append source-order lag, lead or fixed trailing numeric frames within exact groups and preserve every original row.
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How to use CSV Ordered Window Features
Prepare reproducible sequence features directly from ordered records. String offsets retain source provenance; exact numeric frames expose partial and missing-value policies instead of quietly sorting records or shrinking a row-based window.
- Enter input, exact group columns json, value column, offset or trailing row count, export decimal places (0–12), new value column.
- Choose the settings for csv ordered window features, then run the tool.
- Review the result and any limitations before copying or downloading it.
Good to know
- 2,000 rows and 200,000 CSV characters (50,000 per cell, 100 columns); frame/offset 1–1,000, exact decimal arithmetic and 0–12 export places. New columns must not collide. Source order defines group order; no implicit sort.
- lag/lead preserve exact strings including blanks and ignore numeric missing/full-frame options. Numeric omit keeps frame positions fixed; empty frames output blank. This adds declared features, not forecasting, causal inference or statistical model validation. Formula-like source cells are neutralized in CSV.
- Processing is local. Output is limited to 1,000,000 text characters unless a stricter file limit is stated.
Common questions
Does omitting a blank extend a rolling window further back?
No. The frame always contains at most the declared number of source rows within that group. Blank values can be omitted from the numeric sum/count while their row positions still occupy the frame.
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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