--- title: norm description: This page provides guidelines on using the 'norm' function to test whether particular data is normally distributed. It covers functionality and parameter description, and also includes histogram examples for a clear understanding. keywords: - data normalization - data distribution - histogram - plot - dataset - data testing --- import HeadTitle from '@site/src/components/General/HeadTitle.tsx'; Test whether the used data is normally distributed. ### Usage ```python norm -v {} [-p] ``` --- ## Parameters | Name | Description | Default | Optional | Choices | | ---- | ----------- | ------- | -------- | ------- | | column | The dataset.column you want to test normality for | None | False | None | | plot | Whether you wish to plot a histogram to visually depict normality | False | True | None | ![histogram_adj_close_tsla](https://user-images.githubusercontent.com/46355364/155514663-90cb210a-002a-49fe-b7d3-29d9f2aeb5ac.png) ![histogram_returns_msft](https://user-images.githubusercontent.com/46355364/155514702-f46da473-b340-4d68-b31e-f96606c4ed00.png) ---