Question

What is Exploratory Data Analysis (EDA) and why is it important in the data science workflow? What are the key components of the data science process?

07 Mar 2024
Answer :
Word Count : 481

Exploratory Data Analysis (EDA) is a crucial step in the data science workflow that involves analyzing and visualizing data to understand its underlying patterns, structures, and relationships. It is essentially a preliminary phase before applying any advanced analytics or machine learning techniques. EDA aims to uncover insights, identify anomalies, and formulate hypotheses that can guide further analysis.

There are several reasons why EDA is important in the data science workflow:

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