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Co-authored-by: jose-donato <zmcdonato@gmail.com>
Co-authored-by: jose-donato <43375532+jose-donato@users.noreply.github.com>
Co-authored-by: andrewkenreich <andrew.kenreich@gmail.com>
2023-10-30 21:01:29 +00:00

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---
title: skew
description: The 'skew' documentation page explains how this concept can be utilized
to measure asymmetry or distortion of a symmetric distribution, also describing
usage and parameters in Python. It provides insights into how skewness measures
deviation from a normal distribution, depicting either a right or left shift. Comprehensive
visual aids are also given for clarification of the skewness concept.
keywords:
- skew
- asymmetry measurement
- distortion
- symmetric distribution
- normal distribution
- skewness
- random variable distribution
- distribution deviation
- right-skewed
- left-skew
---
import HeadTitle from '@site/src/components/General/HeadTitle.tsx';
<HeadTitle title="crypto/qa/skew - Reference | OpenBB Terminal Docs" />
Skewness is a measure of asymmetry or distortion of symmetric distribution. It measures the deviation of the given distribution of a random variable from a symmetric distribution, such as normal distribution. A normal distribution is without any skewness, as it is symmetrical on both sides. Hence, a curve is regarded as skewed if it is shifted towards the right or the left.
### Usage
```python
skew [-w N_WINDOW]
```
---
## Parameters
| Name | Description | Default | Optional | Choices |
| ---- | ----------- | ------- | -------- | ------- |
| n_window | window length | 14 | True | range(5, 100) |
![skew](https://user-images.githubusercontent.com/46355364/154308298-7528be2a-05f5-44b8-a479-d4716b2a6c6e.png)
---