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CSV upload is Summand’s no-setup entry point. There’s no wizard, no schema review, no target column to pick. Drag, drop, name it, done.
1

Open the Upload dialog

From the dashboard, click Upload. Drag the CSV onto the drop zone, or click Browse.
2

Confirm the dataset name

Defaults to the filename minus extension. Rename now or later — it’s just a display name.
3

Submit

The file streams directly to S3 via a presigned URL. As soon as the upload finishes, Summand kicks off the baseline analysis (column stats, types, missingness, distributions). Files under 100 MB land within a minute.That’s the entire upload flow. No target, no schema review.

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What you get out of the box

Once the dataset shows Ready, the Overview tab on the dataset detail page shows:
  • Row and column counts, types, missingness per column.
  • Distributions for numeric columns, top values for categoricals.
  • Last sync time and freshness pill.
That’s all baseline — produced by the column stats component, which runs automatically on first ingest.

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What to do next

You have three primary paths:

Chat with Summand

Pin the dataset to a conversation. Ask anything in plain English.

Create a view

Save a SQL transformation — visual, code, or Summand-drafted.

Set up an experiment

Schedule predictors, surprise finding, and other components.

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Re-uploading

To analyze a new version of the same file, use Upload a new version on the dataset page. The upload writes a new snapshot of the same dataset. Earlier snapshots stay queryable for at least 30 days by default. The dataset’s context, sharing grants, and any experiments you’ve set up are preserved across re-uploads, so you don’t redo configuration.

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Common gotchas

There’s no per-column type override. Clean the file and upload a new version, or cast the column in a view.
Set up an experiment with the Predictors component, supplying the target column as a typed input. See Set up an experiment.
Large files upload in parts. If an upload fails, start it again. If it still fails, open the file in a text editor or spreadsheet to confirm it’s well-formed.
Most often this is non-numeric content in the column — currency symbols, units, commas as thousands separators. Either clean the file and upload a new version, or cast the column in a view.