Welcome to pd-explain Documentation
==================================

Unlock the power of data exploration and storytelling with **pd-explain**, your indispensable extension to the Pandas library. Built on the foundation of `ExplainED: Explanations for EDA Notebooks <https://github.com/analysis-bots/FEDEx_Generator>`_, **pd-explain** allows you effortlessly filter and analyze your data, gaining valuable insights that go beyond basic data manipulation.

**Key Features:**

- **Data Filtering**: Easily filter your DataFrame by values in specific columns.
- **Data Storytelling**: pd-explain provides insightful narratives comparing filtered data to the original dataset.
- **Data Visualization**: Visualize your data transformations on interactive graphs.
- **Group-By Analysis**: Extend your analysis to group-by DataFrames, uncovering trends and patterns within your data.

Empower your data analysis workflow and let pd-explain turn your data into compelling stories. Dive into our comprehensive documentation to unleash the full potential of your data exploration journey.


Contents
--------

.. toctree::

   Getting Started
   explain-function - Filter
   filter parameters
   explain-function - groupBy
   explain-function - outlier explainer
   explain-function - many to one explainer
   explain-function - MetaInsight explainer
   llm-integrations
   api
   apigroupby