Examples

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

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:

# 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