# 📈 Streamlit ydata Profiling
[![GitHub][github_badge]][github_link] [![PyPI][pypi_badge]][pypi_link]
## Installation
```sh
pip install streamlit-ydata-profiling
```
## Getting started
Checkout this [example/main.py](example/main.py) code.
```python
import numpy as np
import pandas as pd
from ydata_profiling import ProfileReport
import streamlit as st
from streamlit_ydata_profiling import st_profile_report
df = pd.DataFrame(np.random.rand(100, 5), columns=["a", "b", "c", "d", "e"])
pr = ProfileReport(df, minimal=True, orange_mode=True, explorative=True)
st_profile_report(pr, navbar=True)
```
To view dashboard execute following command:
```bash
streamlit run example/main.py
```
## Demo
[![Open in Streamlit][share_badge]][share_link]
[][share_link]
[share_badge]: https://static.streamlit.io/badges/streamlit_badge_black_white.svg
[share_link]: https://share.streamlit.io/okld/streamlit-gallery/main?p=ydata-profiling
[share_img]: https://raw.githubusercontent.com/okld/streamlit-ydata-profiling/main/preview.png
[github_badge]: https://badgen.net/badge/icon/GitHub?icon=github&color=black&label
[github_link]: https://github.com/okld/streamlit-ydata-profiling
[pypi_badge]: https://badgen.net/pypi/v/streamlit-ydata-profiling?icon=pypi&color=black&label
[pypi_link]: https://pypi.org/project/streamlit-ydata-profiling
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