Exploratory data analysis isn’t open-ended
Hello fellow datanistas!
What the real purpose of exploratory data analysis (EDA) is? Is it just about using tools like pandas, matplotlib, seaborn, and finding correlations or is there more to it?
In this blog post, I delve into the misconceptions around EDA and explain how it should be directed and purposeful, not undirected and purposeless. I share some key principles that have guided my approach to coaching others on EDA, including the importance of falsifying our assumptions, having a clear end purpose, and the role of iteration when our purposes are invalidated. I also discuss the importance of practice and domain expertise in developing the necessary judgment for effective EDA.
Here is the link to the blog post. I encourage you to read it and share it with others who you think may benefit from it. Looking forward to hearing your thoughts and continuing this important conversation. Happy reading!
Cheers,
Eric