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

6.8 - Chapter Summary

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Learning

Practice Questions

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Question 1 Easy

What does EDA stand for?

💡 Hint: Think about the first letters of the three words.

Question 2 Easy

Name one visualization tool commonly used in EDA.

💡 Hint: Consider the Python libraries for visualizations.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What is the main purpose of EDA?

To model data
To summarize datasets
To clean data

💡 Hint: Think about what EDA stands for.

Question 2

True or False: Visualizations in EDA are unnecessary.

True
False

💡 Hint: Remember the role of visuals in analysis.

2 more questions available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

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.

💡 Hint: Remember the key functions of exploratory analysis.

Challenge 2 Hard

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

💡 Hint: Consider how initial findings impact model choices.

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