Learn how to organize your analysis into projects and connect multiple datasets for querying.
In Supabind, an Analytics Project is a container for your work. It allows you to group related datasets together so you can run cross-table queries, build visualizations, and save your AI-powered insights in one place.
To start, click the New Project button in the Data Analytics dashboard.
A project can contain one or many files. You select these from your existing workspace files during the project creation or editing phase.
Multi-File Selection: Toggle the checkboxes next to files to add them to your analysis.
Selected Filter: Click the "Selected" tab to see only the files currently attached to the project.
Live Metadata: View the row count, file size, and upload date for every potential source.
Note: To ensure high performance, individual source files are currently optimized for datasets up to 100,000 rows.
You can modify your project configuration at any time without losing your saved SQL queries or chart settings.
Add or remove data sources from the project settings modal.
Remove the project container. This does not delete the source files from your workspace.
Pro Tip: When editing a project, use the Clear All button in the source selector to quickly reset your project data and start a fresh analysis.
If your files are exceeding 100MB or have millions of rows, contact our support team for an enterprise database connector.
Contact Analytics Support