Examples
========

Real-world examples and tutorials showing how to use edaflow effectively.

.. toctree::
   :maxdepth: 2

   basic_eda_workflow
   advanced_visualization
   data_cleaning_pipeline

Overview
--------

This section contains practical examples demonstrating edaflow's capabilities:

**Basic EDA Workflow**
~~~~~~~~~~~~~~~~~~~~~~
Step-by-step walkthrough of a complete exploratory data analysis using all 14 edaflow functions.

**Advanced Visualization**
~~~~~~~~~~~~~~~~~~~~~~~~~~
Examples of creating publication-ready visualizations and interactive dashboards.

**Data Cleaning Pipeline**
~~~~~~~~~~~~~~~~~~~~~~~~~~
Comprehensive data cleaning and preprocessing workflows for different data types.

Example Datasets
-----------------

The examples use publicly available datasets including:

* Titanic dataset (classification example)
* Boston Housing (regression example)  
* Iris dataset (multiclass classification)
* Custom synthetic datasets (demonstrating specific features)

Running the Examples
--------------------

All examples are provided as Jupyter notebooks that you can download and run locally:

.. code-block:: bash

   # Install edaflow and Jupyter
   pip install edaflow jupyter
   
   # Clone the repository for example notebooks
   git clone https://github.com/evanlow/edaflow.git
   cd edaflow/examples
   
   # Start Jupyter
   jupyter notebook

Each example includes:

* Sample data loading
* Step-by-step analysis
* Interpretation of results
* Best practice recommendations
* Common pitfalls and solutions