> ## 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.
# Sending data
In this lesson, you'll learn the four categories of data exports in Parabola and see how to add send steps to your flow by prompting or searching the canvas.
***
Your reconciled inventory data is ready — now export it as a CSV and build a visualization to see how many SKUs have discrepancies at a glance.
```text wrap theme={null}
Export a CSV file at the end of the flow. Title the CSV file "Inventory Reconciliation Report".
```
* Search for the **Visualize** step and drag it onto the canvas below your **Generate CSV file** step
* Grab an arrow from your previous data transformation step and connect it to your **Visualize** step so data is flowing in
* Open the step and change the chart type to **Column chart**. Title the chart "SKUs by Discrepancy Status" and set the X-axis to **Discrepancy Status**
* To configure the Y-axis, click **Add Series** and set **SKU** as the Y-axis
* Keep the aggregation method as **Count**, and give both your X and Y axes a title
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.
