Master Data Exploration in Data Science: Essential Tips & Techniques 📊

In this video, I explain everything you need to know about Data Exploration (Chapter 3) — one of the most important steps in data science. You’ll learn how to understand data using summary statistics, visualization techniques, and OLAP (Online Analytical Processing).

We’ll also explore the famous Iris Data Set and see how different visualization tools like histograms, box plots, scatter plots, and parallel coordinates help uncover hidden patterns in data.

📊 What you’ll learn in this video:

What is Data Exploration?

Techniques used in data exploration

Summary statistics (mean, median, variance, etc.)

Visualization methods in EDA

OLAP operations (slicing, dicing, roll-up, drill-down)

Real-world examples using the Iris dataset

💡 Perfect for students, beginners, and anyone learning Data Science or Machine Learning!

📘 Based on: Introduction to Data Science – Chapter 3: Data Exploration

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