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.Documentation Index
Fetch the complete documentation index at: https://docs.summand.com/llms.txt
Use this file to discover all available pages before exploring further.
Open the Upload dialog
From the dashboard, click Upload. Drag the CSV onto the drop zone, or click Browse.
Confirm the dataset name
Defaults to the filename minus extension. Rename now or later — it’s just a display name.
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.
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.
Re-uploading
To analyze a new version of the same file, click Replace data on the dataset page (under the Schedule tab) and upload again. Summand creates a new semantic-layer version pinned to the new file; previous versions remain accessible for comparison and for chat history. The dataset’s context, schema overrides, sharing grants, and any experiments you’ve set up are preserved across re-uploads — you don’t redo configuration.Common gotchas
Summand picked the wrong column types
Summand picked the wrong column types
Open Schema on the dataset page and override the inferred type. The next analysis run uses your override.
I want predictive features, not just column stats
I want predictive features, not just column stats
Set up an experiment with the Predictors component, supplying the target column as a typed input. See Set up an experiment.
Upload fails partway through
Upload fails partway through
Large uploads are resumable for several hours. Refresh the page; you’ll be prompted to resume rather than restart. If the upload still fails, try opening the file in a text editor or spreadsheet to confirm it’s well-formed.
Columns show up as "string" when they should be numeric
Columns show up as "string" when they should be numeric
Most often this is non-numeric content in the column — currency symbols, units, commas as thousands separators. Either clean the file before upload, or override the column type from the Schema tab.