Metadata-Version: 2.1
Name: geeda
Version: 0.1.0
Summary: General EDA Framework for Pandas DataFrames
License: LICENSE
Author: Jason Zhang
Author-email: jasonjzhang17@gmail.com
Requires-Python: >=3.8,<3.12
Classifier: License :: OSI Approved :: MIT License
Classifier: License :: Other/Proprietary License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3
Requires-Dist: ipykernel (>=6.15.2,<7.0.0)
Requires-Dist: pandas (>=1.4.3,<2.0.0)
Requires-Dist: pre-commit (>=2.20.0,<3.0.0)
Requires-Dist: scipy (>=1.9.1,<2.0.0)
Requires-Dist: tabulate (>=0.8.10,<0.9.0)
Description-Content-Type: text/markdown

# geeda
Pronounced ghee-dah or jee-dee-aye \
Gee.D.A, GEneral EDA: General EDA (Exploratory Data Analysis) Framework for Pandas DataFrames

## Where to get it
The source code is currently hosted on GitHub at:
https://github.com/jjz17/geeda

Binary installers for the latest released version are available at the [Python
Package Index (PyPI)](https://pypi.org/project/geeda/).

```bash
# PyPI
pip install geeda
```

## EDA Workflow using Geeda
1. Create the `Geeda()` object by passing in the dataframe you wish to explore/analyze
2. Call the `apply()` function with the desired arguments (EDA functions that you wish to apply)
3. Enjoy an organized and simple output of the EDA results


# Technologies Used
* Python3
* Poetry (dependency management, publishing library)
* Docker (containerization of services and tests)
* Git/GitHub (version control, CI/CD)
* Pre-commit (hooks for improved code quality)
* Black (code formatting)

