CSV files
Upload CSV Files to Wobby
CSV upload is a quick way to try out Wobby with your own data. This is great for demos, prototypes, or testing, but it is not meant as a long-term or production data source.
For live, trusted analysis, we strongly recommend connecting to your real data warehouse (e.g. Snowflake, BigQuery, etc.).
1. Prepare Your CSV File
Make sure your CSV file is clean, well-structured, and encoded in a way Wobby can understand.
✅ Format Requirements:
- File must end in `.csv`
- Encoding must be UTF-8
- Use commas as delimiters
- First row should contain column headers💡 Best Practices:
Use clear and consistent column names (avoid special characters)
Ensure consistent formats (e.g. dates, numbers)
Remove any blank rows or columns
Clean up missing values if needed
2. Upload the File in Wobby
Go to Wobby → Data Sources.
Click Upload CSV.
Drag and drop your
.csvfile(s).Click Upload files to confirm.
📂 You can upload up to 3 files at once, each up to 500MB in size.
3. Working with Multiple Files
If your data is relational (e.g. customers and orders), upload each table as a separate CSV. This makes it easier for Wobby to understand relationships between tables.
Example:
customers.csv– Customer infoorders.csv– Order detailsproducts.csv– Product catalog
4. Important Notes
❌ Do not upload Excel files (.xlsx or .xls). Always convert to CSV first.
❌ Avoid formatting, formulas, merged cells, or macros.
❌ Avoid special characters in column names or multiple header rows.
⚠️ Reminder: CSV upload is ideal for testing and exploration only. Wobby is designed for live connections to databases or warehouses. If you need to keep your data up to date, switch to a proper integration.
That’s It!
Your file is now ready to be used by Wobby’s AI agents. You'll be able to ask questions, explore patterns, and visualize data immediately.
Need help or seeing errors?
Check column formatting and encoding
Refer to the in-app error messages
Contact us at [email protected]
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