---
title: norm
description: This page provides a detailed guide for testing normality in data series
using Python with a graphical representation of normal distribution. It also explains
how to export data and use external axes for plotting.
keywords:
- Econometrics
- OpenBB-finance
- Data normality test
- Timeseries
- Histogram
- Data exporting
- Data plotting
- Data Science
- Statistics
- Normal distribution
---
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import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';
The distribution of returns and generate statistics on the relation to the normal curve.
Source Code: [[link](https://github.com/OpenBB-finance/OpenBBTerminal/tree/main/openbb_terminal/econometrics/econometrics_model.py#L113)]
```python
openbb.econometrics.norm(data: pd.Series)
```
---
## Parameters
| Name | Type | Description | Default | Optional |
| ---- | ---- | ----------- | ------- | -------- |
| data | pd.Series | A series or column of a DataFrame to test normality for | None | False |
---
## Returns
| Type | Description |
| ---- | ----------- |
| pd.DataFrame | Dataframe containing statistics of normality |
---
Determine the normality of a timeseries.
Source Code: [[link](https://github.com/OpenBB-finance/OpenBBTerminal/tree/main/openbb_terminal/econometrics/econometrics_view.py#L129)]
```python
openbb.econometrics.norm_chart(data: pd.Series, dataset: str = "", column: str = "", plot: bool = True, export: str = "", external_axes: Optional[List[axes]] = None)
```
---
## Parameters
| Name | Type | Description | Default | Optional |
| ---- | ---- | ----------- | ------- | -------- |
| data | pd.Series | Series of custom data | None | False |
| dataset | str | Dataset name | | True |
| column | str | Column for y data | | True |
| plot | bool | Whether you wish to plot a histogram | True | True |
| export | str | Format to export data. | | True |
| external_axes | Optional[List[plt.axes]] | External axes to plot on | None | True |
---
## Returns
This function does not return anything
---