Metadata-Version: 2.1
Name: prossa
Version: 1.3.0
Summary: An open-source library for checking data preprocessing techniques applicable on a dataset.
Author-email: Fosberg Addai <fosberg1addai@gmail.com>
License: MIT License
        
        Copyright (c) [2024] [Procca Version 1.0.0]
        
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Project-URL: Homepage, https://github.com/yourusername/prossa
Keywords: data,analysis,preprocessing,Machine Learning
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.7
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: pandas
Requires-Dist: numpy
Requires-Dist: scipy
Provides-Extra: dev
Requires-Dist: pytest; extra == "dev"
Requires-Dist: pip-tools; extra == "dev"
Requires-Dist: bumpver; extra == "dev"
Provides-Extra: test
Requires-Dist: pytest; extra == "test"
Requires-Dist: pip-tools; extra == "test"
Requires-Dist: bumpver; extra == "test"
Provides-Extra: where
Requires-Dist: src; extra == "where"

# Prossa

Prossa is an open-source library for checking data preprocessing techniques applicable to a dataset.


## Installation

You can install Prossa using pip:

```
pip install prossa

<!-- or in jupyter notebooks -->

!pip install prossa
```

## Usage

Here's a quick example of how to use Prossa:

```python
import pandas as pd
from prossa import analyze_dataset
from prossa import check_outliers

# Load your dataset
df = pd.read_csv('your_dataset.csv')

# Analyze the dataset
analyze_dataset(df)
```
#### To enhance your data preprocessing flow with Prossa, please refer to the documentation.
[Docs](https://prossa.pages.dev/)

## Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

You can find the project repository on GitHub:
[GitHub Repository](https://github.com/Fosberg-codex/prossa)

## License

This project is licensed under the MIT License - see the LICENSE file for details.
