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Compare scientific variables with units, ranges, and quality caveats.
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Basierend auf der SOC-Berufsklassifikation
Inspect dataset structure before analysis or visualization.
Evaluate data quality from observed structure and summary evidence.
Choose visual checks that match the inspected data.
Route dataset questions to structure, analysis, or visualization experts.
Choose a plot that confirms numeric conversion integrity.
Classify scientific dtype conversions by loss and safety risk.
| name | compare_variables |
| title | Compare Variables |
| description | Compare scientific variables with units, ranges, and quality caveats. |
Use this skill when comparing columns, datasets, arrays, or variables across scientific files. Preserve each variable name exactly and report units, shape, range, missingness, and suspicious outliers when available.
Separate comparable evidence from incompatible evidence. If variables differ in units, resolution, time range, or coordinate system, state that before drawing conclusions.
