Metadata-Version: 2.1
Name: python-eda
Version: 0.1.2
Summary: A CLI wrapper for sweetviz Python exploratory data analysis (EDA) tool.
Home-page: https://github.com/ThuwarakeshM/python-eda
License: MIT
Keywords: python,data-analytics,data-science,analytics,eda
Author: Thuwarakesh
Author-email: thuwarakesh@gmail.com
Requires-Python: >=3.8,<4.0
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: Implementation
Classifier: Programming Language :: Unix Shell
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Requires-Dist: pandas (>=1.3.2,<2.0.0)
Requires-Dist: sweetviz (>=2.1.3,<3.0.0)
Requires-Dist: typer[all] (>=0.4.0,<0.5.0)
Project-URL: Repository, https://github.com/ThuwarakeshM/python-eda
Description-Content-Type: text/markdown

# Python EDA in CLI -- Exploratory Data Analysis in Command Line Interface

This project wraps the python exploratory data analysis tool sweetviz in a commandline interface.

---
## Installation
You can install this package with pip. It supports Python versions 3.6+.

```shell
pip install python-eda
```

---
## Usage

### Generate report for a dataset

```
pyeda report <path-to-dataset>
```

### Generate report for a dataset with a target variable

```
pyeda target <path-to-dataset> <target-variable>
```

### Generate comparison report between two datasets

```
pyeda compare <path-to-dataset1> <path-to-dataset2>
```

### Generate comparison report between two datasets with a target variable

```
pyeda compare <path-to-dataset1> <path-to-dataset2> <target-variable>
```

---
## Python EDA Illustration
The creation of this EDA is explained in the Towards data science post [Python Exploratory Data Analysis](https://towardsdatascience.com/how-to-do-a-ton-of-analysis-in-the-blink-of-an-eye-16fa9affce06)

Packaging and distribution of this CLI EDA tool using Poetry, is explained in [You Are Not Still Using Virtualenv, Are You?](https://towardsdatascience.com/poetry-to-complement-virtualenv-44088cc78fd1)

For more interesting data science tactics please visit my [Medium profile](https://thuwarakesh.medium.com). 
