Metadata-Version: 2.4
Name: abc_exp_toolkit
Version: 0.0.2
Summary: This is a library for summarizing the results of ab tests
Project-URL: Homepage, https://github.com/wellbel123/abc_exp_toolkit
Author-email: Nadia Beliaikina <belyaikinan@gmail.com>
License-File: LICENSE
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.09.0
Requires-Dist: numpy>=1.23.0
Requires-Dist: pandas>=1.5.0
Requires-Dist: scipy>=1.9.0
Description-Content-Type: text/markdown

# ABC Exp Toolkit 

ABC Exp Toolkit is a Python library for building event funnels, calculating conversions and visualizing results.

## Installation


```bash
pip install abc_exp_toolkit

import  abc_exp_toolkit
```

## Features

- **FunnelBuilder** — step-by-step funnel construction. Support for multi-events per step.

Statistics:

- **compute_step_stats** - z-test (two-sided and one-sided hypotheses) and p-value with Bonferroni correction  


Synthetic Data:

- **generate_synthetic_funnel** - generate data for using the funner with different features 

## Quick Start 

You can find examples [here](https://github.com/wellbel123/abc_exp_toolkit/blob/main/examples.ipynb)