---
title: quantile
description: The page explores the concept of 'quantile' in statistical analysis,
  focusing especially on its calculations, usage, parameters, and relation to 'median'
  and distribution. A valuable resource for those interested in understanding and
  applying observational data for better decision making.
keywords:
- quantile
- distribution
- median
- observations
- window length
- descriptive statistics
- quantile calculation
- data analysis
---

import HeadTitle from '@site/src/components/General/HeadTitle.tsx';

<HeadTitle title="forex/qa/quantile - Reference | OpenBB Terminal Docs" />

The quantiles are values which divide the distribution such that there is a given proportion of observations below the quantile. For example, the median is a quantile. The median is the central value of the distribution, such that half the points are less than or equal to it and half are greater than or equal to it. By default, q is set at 0.5, which effectively is median. Change q to get the desired quantile (0q1).

### Usage

```python
quantile [-w N_WINDOW] [-q N_QUANTILE]
```

---

## Parameters

| Name | Description | Default | Optional | Choices |
| ---- | ----------- | ------- | -------- | ------- |
| n_window | window length | 14 | True | range(5, 100) |
| f_quantile | quantile | 0.5 | True | 0.0, 0.01, 0.02, 0.03, 0.04, 0.05, 0.06, 0.07, 0.08, 0.09, 0.1, 0.11, 0.12, 0.13, 0.14, 0.15, 0.16, 0.17, 0.18, 0.19, 0.2, 0.21, 0.22, 0.23, 0.24, 0.25, 0.26, 0.27, 0.28, 0.29, 0.3, 0.31, 0.32, 0.33, 0.34, 0.35000000000000003, 0.36, 0.37, 0.38, 0.39, 0.4, 0.41000000000000003, 0.42, 0.43, 0.44, 0.45, 0.46, 0.47000000000000003, 0.48, 0.49, 0.5, 0.51, 0.52, 0.53, 0.54, 0.55, 0.56, 0.5700000000000001, 0.58, 0.59, 0.6, 0.61, 0.62, 0.63, 0.64, 0.65, 0.66, 0.67, 0.68, 0.6900000000000001, 0.7000000000000001, 0.71, 0.72, 0.73, 0.74, 0.75, 0.76, 0.77, 0.78, 0.79, 0.8, 0.81, 0.8200000000000001, 0.8300000000000001, 0.84, 0.85, 0.86, 0.87, 0.88, 0.89, 0.9, 0.91, 0.92, 0.93, 0.9400000000000001, 0.9500000000000001, 0.96, 0.97, 0.98, 0.99 |

![quantile](https://user-images.githubusercontent.com/46355364/154307976-868e98e1-5a30-43c7-92fc-f221d09c5bd2.png)

---