Chapter 8: Understanding EDA
By now, you have made significant progress in your journey to becoming proficient in data analysis. You have learned the basics of Python and are now comfortable manipulating data with NumPy and Pandas. You have also acquired the necessary skills to visualize your data using Matplotlib and Seaborn. However, the journey is far from over, and there is still much more to learn.
In this chapter, we will explore the art and science of Exploratory Data Analysis (EDA) in greater depth. This is where your collection of tools and techniques will come to life, and you will gain a greater understanding of how to extract insights from data. You will learn how to dive deep into datasets, identify patterns and trends, and create ...
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