--- title: skew description: Learn about the concept of skewness as a measure of asymmetry, its relevance in symmetric distribution and normal distribution, and the 'skew' command along with its parameters and usage. keywords: - skewness - symmetric distribution - asymmetry - normal distribution - distortion - skew command - command parameters --- import HeadTitle from '@site/src/components/General/HeadTitle.tsx'; 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) ---