📊 Exploratory Data Analysis (EDA) — Guides & Guidebooks

This section contains in-depth resources for conducting, interpreting, and communicating EDA results.

From general workflows to advanced statistical and visual interpretation techniques, these guides are designed to help analysts uncover insights, validate hypotheses, and prepare datasets for modeling.

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📂 Available Resources

📘 Guidebooks

• 📘 General EDA Guidebook — A foundational guide for conducting structured exploratory analysis.
• 📘 Advanced EDA Guidebook — Extended methods for deeper and more complex data exploration.

📊 Interpretation Guides

• 📊 Visual EDA Interpretation Guide — Practical methods for interpreting patterns and trends in visual data outputs.
• 📊 Advanced EDA Visual Interpretation Guide — High-level approaches for extracting nuanced insights from visualizations.
• 📊 EDA Statistical Interpretation Guide — Statistical perspectives for validating and deepening exploratory findings.