Use the AutoPrep Snap to prepare data for analysis, reporting, and machine learning without writing expressions, SQL scripts, or Python code. When you open AutoPrep, it uses introspection on a sample of the input data and calculates the probable data type and valid null handling for each field. The Preview data table shows a sample of the data it will output.
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The following table describes AutoPrep error messages:
Error | Reason | Resolution |
|---|---|---|
Looks like we couldn’t find a connector here. Please add a connector before you use the AutoPrep experience. | An upstream Snap must provide the sample data for AutoPrep. | Add a valid Snap that outputs JSON before the AutoPrep Snap. |
We couldn’t find any preview data. Please try running the validation again before we can get to AutoPrepping. | The upstream Snap is not valid. | Make sure the data source is connected and that the upstream Snap is outputting JSON. |
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