Practice What is EDA and Why is it Important? - 6.3 | Exploratory Data Analysis | Data Science Basic
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6.3 - What is EDA and Why is it Important?

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Learning

Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

Define Exploratory Data Analysis (EDA).

💡 Hint: Think about what EDA aims to achieve.

Question 2

Easy

List two primary functions of EDA.

💡 Hint: Consider what insights EDA provides.

Practice 4 more questions and get performance evaluation

Interactive Quizzes

Engage in quick quizzes to reinforce what you've learned and check your comprehension.

Question 1

What does EDA primarily help with?

  • Building models
  • Understanding data characteristics
  • Allocating resources

💡 Hint: Think about EDA's role before modeling.

Question 2

True or False: EDA is only concerned with visual methods of data analysis.

  • True
  • False

💡 Hint: Remember the varying approaches used in EDA.

Solve and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You are given a dataset without much context. Describe how you would proceed with EDA in a structured manner.

💡 Hint: Think about the steps you would take if you were a data analyst.

Question 2

A data analysis project shows relationships that may not be valid. How can EDA help to verify or challenge those relationships?

💡 Hint: Reflect on how visualization aids understanding in data analysis.

Challenge and get performance evaluation