# Samples

Some datasets include a 1% [data](https://docs.redivis.com/reference/datasets/data) sample, which supports faster exploratory queries for very large tables. Datasets can also have fewer [access](https://docs.redivis.com/reference/data-access) restrictions to the sample than the full dataset. 

## Methodology

Sampling is applied independently to each version of a dataset. Samples can either be a random sample applied to all tables in the dataset, or a sample created on a variable which will be applied to all tables in the dataset that contain that variable. 

## Usage

You can see if a sample exists on a dataset and how the sample was created in the right bar next to the list of tables. The tables list can also be filtered to see which tables have a sample. If you only have [sample access](https://docs.redivis.com/reference/data-access/access-levels) to this dataset you might see a **Sample** tag next to table names, which means you are looking at the sampled table of data. 

When adding a dataset to a [workflow](https://docs.redivis.com/reference/workflows), the dataset will always default to the sample if one exists. A dataset can be [switched](https://docs.redivis.com/reference/workflows/data-sources) between the sample and the full data at any time. 

*For editors:* [*How to create a sample*](https://docs.redivis.com/reference/datasets/create-and-edit-datasets/create-a-sample)