# Sample data

Aerospike Voyager includes pre-built sample datasets that you can load into your cluster with one click. Sample data lets you immediately browse records, try filters, and explore different Aerospike data types without writing any application code.

## Loading sample data

Right-click a namespace in the sidebar (or click its three-dot menu) and select **Load sample data**.

 ![Namespace actions context menu showing Open in new tab, Refresh, Add new record, Load sample data, and Delete sample data options](https://aerospike.com/docs/_astro/namespace_actions_menu.D9DxM-kV_1GTuWc.png)

Loading takes a few seconds. When it completes, 9 sample sets appear in the sidebar under the selected namespace.

 ![Voyager sidebar expanded to show the 9 sample sets under namespace test, with the Sets in namespace view listing record counts per set](https://aerospike.com/docs/_astro/sidebar_sets.DRnmjH_Y_Z1XWJbu.png)

## Available datasets

Voyager ships 600 records across 9 sets in three domains:

| Dataset | Domain | Records | Description |
| --- | --- | --- | --- |
| sample\_audience | Ad tech | 50 | Audience segments for ad targeting |
| sample\_campaign | Ad tech | 50 | Campaign configuration records |
| sample\_creative | Ad tech | 100 | Ad creative assets and metadata |
| sample\_lineitem | Ad tech | 100 | Line items linking campaigns to creatives |
| sample\_orders | E-commerce | 50 | Order records with line items and totals |
| sample\_products | E-commerce | 50 | Product catalog entries |
| sample\_segment | User data | 50 | User segment definitions |
| sample\_user\_profile | User data | 100 | Detailed user profiles with preferences |
| sample\_users | User data | 50 | Core user records |

## Exploring sample data

After loading, try these steps to get familiar with the data browser:

1.  **Browse a set**: Click **sample\_users** in the sidebar to see user records with string, integer, and list bins.
2.  **Expand nested data**: Open **sample\_user\_profile** and click the expand arrow on a list or map bin to drill into nested structures.
3.  **Try a filter**: In **sample\_products**, use the filter builder to filter by a numeric bin (such as price greater than a threshold).
4.  **Inspect metadata**: Each record card header shows its TTL, generation count, and digest.
5.  **Look at different data types**: Browse **sample\_orders** to see records with map bins representing order line items.

::: tip
Sample data is a good way to learn how Aerospike [expressions](https://aerospike.com/docs/database/tools/voyager/guides/filtering-records) work. Build a filter visually, then switch to the expression editor to see the equivalent expression string.
:::

## Deleting sample data

When you are done exploring, remove all sample data from the namespace:

1.  Right-click the namespace in the sidebar (or click its three-dot menu).
2.  Select **Delete sample data** and confirm.

This deletes all records in the 9 sample sets in the selected namespace. Other data in the cluster is unaffected.

::: note
Deletion runs asynchronously. Record counts in the sidebar and set views may briefly show stale values after the confirmation toast. Refresh the set to see the final count.
:::

## Next steps

-   [Browsing data](https://aerospike.com/docs/database/tools/voyager/guides/browsing-data)
-   [Filtering records](https://aerospike.com/docs/database/tools/voyager/guides/filtering-records)
-   [Editing records](https://aerospike.com/docs/database/tools/voyager/guides/editing-records)
-   [Quickstart](https://aerospike.com/docs/database/tools/voyager/quickstart)