Member-only story
How to Conduct an Effective Exploratory Data Analysis (EDA)
The Ultimate Guide
If you are not a member, read here.
Hello there, back with a hot topic in the data science world — Exploratory Data Analysis (EDA). Think of EDA as your preliminary detective work; it’s the part that can make or break your subsequent data modeling. I will try to explain EDA through my understanding in this article. So, let’s get started!
Why EDA?
Imagine you’re an archaeologist. Would you dig randomly? — No, you’d survey the land first, right?
Similarly, EDA helps you know where to dig for insights. It’s about preventing flawed models and wrong conclusions by understanding your data’s existing structure and variables. (features)
A little Update (Dated: August 2, 2024)
As this article is liked and loved by many. Recently, I authored an eBook called “EDA Simplified.”
Perfect for aspiring data scientists, analysts, and curious minds alike.
