> ## Documentation Index
> Fetch the complete documentation index at: https://parabola.io/docs/llms.txt
> Use this file to discover all available pages before exploring further.
# Cleaning data
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.
***
Before combining your data sets, clean up the sales data — keeping only what you need and removing orders that shouldn't be in the report. Copy and paste this prompt into Parabola:
```text wrap theme={null}
I want to clean my sales data. Keep only "SKU#", "Product Title", "Line Item Price", "Units", and "Status" from the sales data set. Also rename "SKU#" to "SKU" and remove any rows where "Status" is "Cancelled" or "Refunded".
```
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.
