ArgMin / Aggregation Layer
Find row indices of minimum values in specified columns, similar to numpy argmin() or pandas idxmin(). Returns integer indices that can be used for reference or filtering.
Common applications:
- Finding lowest price points
- Identifying minimum response times
- Locating system bottlenecks
- Detecting anomalous readings
- Finding earliest occurrences
Note: For ties, returns the index of first occurrence of the minimum value.
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Select
[column, ...]Columns to analyze for minimum values. Each selected column must be sortable (numeric, string, datetime, etc.). Returns the row index (0-based) where the minimum value occurs.