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

# Sample

Sample n rows from the data frame (Sample N Rows) or sample n fraction of rows from the data frame (Sample Fraction)

## How to Access This Feature

![](/files/-M4oMybAya6nOrelRU0h)

### Sample (N Rows)

* Click "+" button and select "Others ..." -> "Sample ..." -> N Rows

### Sample (Fraction)

* Click "+" button and select "Others ..." -> "Sample ..." -> Fraction

## Sample (N Rows)

![](/files/-M4oMybGP0upyRxK_Kj9)

1. Enter Sample Number - Number of rows you want to sample the data. (e.g. 10000)
2. Select `Weight Colulmn` (Optional) - Sampling weight. The ratio of probability the row should be chosen. This should be non-negative numeric vector whose size is the number of rows. It's normalized so that the sum of the probability will be 1.
3. Replace Sampled Rows (Options) - The default is FALSE. If it's TRUE, replacement will be executed when sampling.
4. Click "Run" to Sample data frame.

## Sample (Fraction)

![](/files/-M4oMybIBYdCaf0rPrJi)

1. Enter Sample Fraction ratio. It should be a numeric value between 0 and 1. (e.g. 0.4)
2. Select `Weight Colulmn` (Optional) - Sampling weight. The ratio of probability the row should be chosen. This should be non-negative numeric vector whose size is the number of rows. It's normalized so that the sum of the probability will be 1.
3. Replace Sampled Rows (Options) - The default is FALSE. If it's TRUE, replacement will be executed when sampling.
4. Click "Run" to Sample data frame.