---
metadata:
  - name: generator
    content: Diplodoc Platform v5.48.2
alternate:
  - https://yandex.com.tr/dev/metrika/en/stat/sampling.md
  - https://yandex.com.tr/dev/metrika/ru/stat/sampling.md
---
> **Documentation Index:** Fetch the complete configuration index at https://yandex.com.tr/dev/metrika/en/llms.txt

# Sampling

When a tag has collected a large amount of statistical data, Yandex Metrica can use only a subset of it. For example, it can process 1/10 of all sessions (and then multiply the results by 10 as needed). 

This process of creating a data subset is called sampling. Sampling provides a balance between the speed of obtaining results and their accuracy.

Due to sampling, reports may exclude data from low-traffic URLs or very rare keywords.

If you want to always use a complete dataset without sampling for your analytics, subscribe to [Yandex Metrica Pro](https://yandex.ru/support/metrica/pro/intro.html?lang=en).

You can control sampling using the `accuracy` request parameter governing the sample size for calculations.

This parameter can accept several values:

- `low`: Returns a fast result based on a limited data sample.
- `medium`: Returns the result based on a sample that combines speed and data accuracy.
- `high`: Returns the most precise value by using the largest data sample. This mode may require more time to process your data request.
- `full`: Returns all data.

This parameter can also take a numerical value from the (0,1] interval:

- `1`: No sampling (corresponds to the `full` value).
- `0.1` or `0.01`: The share of returned data (10%, 1%). Any value (for example, 0.42) will be rounded to the nearest power of 10.

By default, the `accuracy` parameter is set to `medium`.

In the returned results, the applied sampling is described using the following parameters:

- `sampled`: Whether data sampling was performed (`true` if it was performed, `false` if not).
- `sample_share`: The share of data used for calculating the result (value from 0 to 1).
- `sample_size`: Number of rows in the data sample.
- `sample_space`: Total number of rows in the source data (without sampling).