Sample request
Retail sample: inspect structure before the full pack
Use this route to inspect field structure, naming and coverage before you request the full retail sales pack. Sample requests go through hello@datacriterion.com so the reply stays tied to the exact product route.
What this sample should let you inspect
- column naming and structure
- temporal coverage format
- series logic and dictionary style
- how the sample differs from the full pack
What to include in the request
- mention the retail flagship
- say whether the question is about fit, structure or packaging
- mention if the use case may need license clarification
What this sample contains and what the full pack adds
What this sample contains
- Representative rows from the retail schema so you can inspect field names and date structure.
- Example series naming and dictionary logic tied to the retail flagship.
- A preview of how the packaged dataset differs from raw Census release files.
What the full pack adds
- Full 2025 coverage across 8 series and 16 variants.
- Main CSV and Parquet files plus the series dictionary.
- Notebook, preview charts, validation summary and README.
This route is best for buyers who already know they need monthly U.S. retail sales data but want to inspect the packaged schema before moving further.
How to request this sample
- Review the retail flagship first.
- Request the sample through hello@ with the exact route name in the subject line.
- Use licences@ if the main question is about reuse rights.