Examples¶
Learn Datasculpt by seeing inference in action on different dataset shapes.
How to Read These Examples¶
Each example shows: 1. The data — What the CSV looks like 2. The inference — What Datasculpt detects 3. The evidence — Why it made that choice 4. The output — The proposal and decision record
Dataset Shapes¶
| Example | Shape | Key Characteristic |
|---|---|---|
| Wide Observations | wide_observations |
Measures as columns |
| Long Indicators | long_indicators |
indicator/value pairs |
| Wide Time Columns | wide_time_columns |
Time periods in headers |
| Series Column | series_column |
Arrays in cells |
| Microdata | microdata |
Survey data with coded questions |
| Ambiguous Shape | Varies | Close-scoring hypotheses |
Other Scenarios¶
| Example | Focus |
|---|---|
| Grain Detection | Finding the unique key |