Use this file to discover all available pages before exploring further.
In this lesson, you’ll learn the three main types of data cleanup — columns, rows, and values — and get prompting tips to get the best results when cleaning data in Parabola.
Building challenge
Before combining your data sets, clean both files so each one only contains the columns you need.
1
Copy and paste this prompt into Parabola to clean your Shopify inventory data
I want to clean my Shopify inventory data. Keep only these columns and rename them:- "Product: Title" → "Product Title"- "Variants: Title" → "Variant Title"- "Variants: Sku" → "SKU"- "Variants: Inventory Quantity" → "Shopify Quantity"
2
Copy and paste this prompt into Parabola to clean your NetSuite inventory data
I want to clean my NetSuite inventory data.Keep only the following columns:- "SKU"- "In-Stock"Rename "In-Stock" to "NetSuite Quantity".Then remove the "R-" prefix from all values in the "SKU" column.
Check your work
The steps added to your canvas and their exact documentation may differ from what you see below — every AI response is unique. The important thing is that your resulting data set matches what you see here.
