ZAPS DOCS
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   :alt: ZAPS logo
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Zaps: Pythonic Exploratory Data Analysis Framework
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ZAPS is a lightweight, low-code Python wrapper designed to simplify and accelerate the exploratory data analysis (EDA) process. Built on top of industry-standard libraries, it provides an intuitive and efficient framework for data inspection, visualization, and preparation. 

With ZAPS, you can quickly and easily perform a wide range of EDA tasks, without the need for complex code or extensive programming expertise; allowing you to focus on insights and decision-making rather than tedious data manipulation, all for unlocking deeper understanding and actionable insights from your data.

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Main Features
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- Combined capabilities of multiple modules in a concise single interface
- Highlighting potential underlying problems and summarizing input data
- Rich tabular reports and highly customizable interactive visualizations
- Statistical modeling with commonly used algorithms and metrics
- Flexible alternation between numeric and categorical data
- User friendly error handling and informative workflow 
- Easy integration with Scikit-learn Pipeline


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.. toctree::
   :maxdepth: 2
   :hidden:
   :caption: Getting Started

   installation
   quickstart
   
.. toctree::
   :maxdepth: 2
   :hidden:
   :caption: API Documentation
   
   uni_analysis
   dist
   outliers
   num_analysis
   cat_analysis