> For the complete documentation index, see [llms.txt](https://docs.cascade.io/cascade/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.cascade.io/cascade/tools/cleaning/sample.md).

# Sample

Sample offers the ability to view and use a subset of your dataset. You can select this subset of your data using any of the options below. 

### Input/Output

| Inputs                                                                                                                                                                                                                                                          | Outputs                                                                                                                                    |
| --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------ |
| <p><strong>Select Rules</strong> - rules to choose from for sample</p><p><strong>Value, N</strong> - N value in rules descriptions (number)</p><p><strong>Group By (optional) -</strong> column(s) to group by in table. N rows are returned for each group</p> | Table with a subset of the data from your original input dataset.  You can select this subset of your data using any of the options below. |

### Options

| Option            | Description                                                                 |
| ----------------- | --------------------------------------------------------------------------- |
| First N rows      | Returns every row in the data from the beginning of the data through row N. |
| Last N rows       | Returns the last N rows of the data.                                        |
| Skip first N rows | Returns all rows in the data starting after row N.                          |
| 1 every N rows    | Returns the first row of every group of N rows.                             |
| First N% rows     | Returns N percent of rows.                                                  |

You also have the option to use a groupby that will apply the above rules to each group or rows in the groupby.&#x20;

### Example

Let's say we have a list of baseball players that we want to use a sample of:

{% embed url="<https://datawrapper.dwcdn.net/6N2lX/1/>" %}

We only want to see the first 5 players in the list. So we use the `First N rows` and set `N = 5`We get the following result:

{% embed url="<https://datawrapper.dwcdn.net/eO2Ph/1/>" %}

### Example 2

Now we want to only use the first 20% emails in the list. So we use the `First N% rows` and set `N = 20`We get the following result:

{% embed url="<https://datawrapper.dwcdn.net/bRuH5/1/>" %}


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