Metadata-Version: 2.1
Name: scientistshiny
Version: 0.0.1
Summary: Python library to easily improve multivariate Exploratory Data Analysis graphs
Home-page: UNKNOWN
Author: Duverier DJIFACK ZEBAZE
Author-email: duverierdjifack@gmail.com
License: UNKNOWN
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE.txt
Requires-Dist: scientisttools (>=0.1.3)
Requires-Dist: numpy (>=1.26.2)
Requires-Dist: matplotlib (>=3.5.3)
Requires-Dist: scikit-learn (>=1.2.2)
Requires-Dist: pandas (>=1.5.3)
Requires-Dist: mapply (>=0.1.21)
Requires-Dist: plotnine (>=0.10.1)
Requires-Dist: plydata (>=0.4.3)
Requires-Dist: pingouin (>=0.5.3)
Requires-Dist: scientistmetrics (>=0.0.3)
Requires-Dist: ggcorrplot (>=0.0.2)

# scientistshiny : Python library for multidimensional analysis

## About scientistshiny

**scientistshiny** is a `Python` package to easily improve multivariate Exploratory Data Analysis graphs.

## Installation

### Dependencies

scientistshiny requires 

```
scientisttools>=0.1.3
numpy>=1.26.2
matplotlib>=3.5.3
scikit-learn>=1.2.2
pandas>=1.5.3
mapply>=0.1.21
plotnine>=0.10.1
plydata>=0.4.3
pingouin>=0.5.3
scientistmetrics>=0.0.3
ggcorrplot>=0.0.2
```

### User installation

You can install scientisttools using `pip` :

```
pip install scientistshiny
```

## Author

Duvérier DJIFACK ZEBAZE ([duverierdjifack@gmail.com](duverierdjifack@gmail.com))


