Practice Chapter Summary - 6.8 | Exploratory Data Analysis | Data Science Basic
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Practice Questions

Test your understanding with targeted questions related to the topic.

Question 1

Easy

What does EDA stand for?

πŸ’‘ Hint: Think about the first letters of the three words.

Question 2

Easy

Name one visualization tool commonly used in EDA.

πŸ’‘ Hint: Consider the Python libraries for visualizations.

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 is the main purpose of EDA?

  • To model data
  • To summarize datasets
  • To clean data

πŸ’‘ Hint: Think about what EDA stands for.

Question 2

True or False: Visualizations in EDA are unnecessary.

  • True
  • False

πŸ’‘ Hint: Remember the role of visuals in analysis.

Solve 2 more questions and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

You are given a dataset with several features relating to customer data in a retail store. Outline the steps you would take for EDA to uncover key insights and prepare for a predictive model.

πŸ’‘ Hint: Remember the key functions of exploratory analysis.

Question 2

Using a sample dataset, apply the Pandas Profiling tool. Discuss the key insights you discovered and how they can affect the data modeling process.

πŸ’‘ Hint: Consider how initial findings impact model choices.

Challenge and get performance evaluation