Metadata-Version: 2.4
Name: sme-dataprep
Version: 0.1.0
Summary: Educational data preprocessing utilities for SME coursework.
Author: Aimar Barrena Pol
License-Expression: MIT
Project-URL: Homepage, https://github.com/abarrenap/sme-dataprep-python
Project-URL: Repository, https://github.com/abarrenap/sme-dataprep-python
Project-URL: Issues, https://github.com/abarrenap/sme-dataprep-python/issues
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Education
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.24
Requires-Dist: pandas>=2.0
Requires-Dist: matplotlib>=3.7
Provides-Extra: dev
Requires-Dist: jupyter>=1.0; extra == "dev"
Dynamic: license-file

# sme-dataprep

Educational data-preprocessing utilities for the Software Matemático y
Estadístico coursework. The package includes dataset management, missing-value
handling, normalization, standardization, discretization, association metrics,
AUC/ROC helpers, and visualizations.

## Installation

Install the package from PyPI:

```bash
python -m pip install sme-dataprep
```

In a Jupyter notebook, you can run:

```python
%pip install sme-dataprep
```

## Quick start

The distribution is named `sme-dataprep`; import its API from `dataprepkit`:

```python
import pandas as pd

from dataprepkit import dataset_summary, normalize_variable

data = pd.DataFrame({"score": [10, 20, 30], "group": ["a", "a", "b"]})

print(dataset_summary(data))
scaled_score = normalize_variable(data["score"])
```

The project source and additional examples are available in the
[GitHub repository](https://github.com/abarrenap/sme-dataprep-python).
