Examples .. toctree:
:maxdepth: 2
classification_example
regression_example
cv_example
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