Exploratory Data Analysis Explained for Beginners-Python Implementation

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In this video, we are going to explain what is Exploratory Data Analysis or EDA, why it is important, its steps, and in the end how to implement it.

🕕 (0:00:05) Introduction
🕕 (0:02:20) EDA Explanation
🕕 (0:03:00) Steps and Implementation

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[koudjojean-louisadjei]

I followed this video with interest on EDA. Thank you for popularizing knowledge in Data Science. Thank you for all these extensive explanations.

However I find that there are a few areas of shadow missing, you do not explain to us for example, why we remove certain columns, on what conditions are we based to do so.

Also, on the removal of missing values: NA values, I find that the explanation is not thorough. When should they be removed, when should they be replaced by mediums or modes? Like what.