Quick Start
Operations
| Operation | Description | Example prompt |
|---|---|---|
| Create table | Build new tables from descriptions or code | ”Create a table of the 50 US states with population and capital” |
| Add column | Add new columns with optional computed values | ”Add a profit_margin column calculated as (revenue - cost) / revenue” |
| Remove column | Drop columns from a table | ”Remove the internal_notes column” |
| Rename column | Change column names | ”Rename ‘amt’ to ‘amount‘“ |
| Change type | Convert column data types | ”Change the date column to datetime” |
| Insert rows | Add new rows of data | ”Add a row for product XYZ with price $49.99” |
| Delete rows | Remove rows matching criteria | ”Delete all rows where status is ‘cancelled‘“ |
| Update rows | Modify existing values | ”Set status to ‘archived’ for all orders before 2023” |
| Find & replace | Replace values across a column | ”Replace all ‘N/A’ with null” |
| Computed columns | Apply formulas or expressions | ”Add a column that calculates price * quantity” |
| Merge tables | Join, combine, or merge multiple tables | ”Merge sales and inventory on product_id” |
| Copy data | Copy data between tables | ”Copy the first 100 rows to a new table” |
Merging Tables
For merge, join, and combine operations, a single Table Workshop task handles everything. If you don’t specify which tables to merge, Table Workshop lists available tables and asks you to choose:Streaming
Python
Streaming Events
| Event | Description |
|---|---|
table | Preview of the new or modified table data |
ai_chunk | Description of what was changed |
ai_complete | Final response with operation summary |
When to Use Table Workshop vs Other Tools
| Want to… | Use |
|---|---|
| Query or filter existing data | Database Queries |
| Add/remove columns, merge, edit rows | Table Workshop |
| Run statistical analysis or simulations | Code Runner |
| Generate a table from computations and save it | Code Runner |