Practice Exploratory Data Analysis (EDA) - 1.4.4 | Introduction to Data Science | Data Science Basic
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Exploratory Data Analysis (EDA)

1.4.4 - Exploratory Data Analysis (EDA)

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Learning

Practice Questions

Test your understanding with targeted questions

Question 1 Easy

What is Exploratory Data Analysis (EDA)?

💡 Hint: Think of its purpose in understanding data.

Question 2 Easy

Which visualization is a good method for identifying outliers?

💡 Hint: Consider the tool used to summarize data distributions.

4 more questions available

Interactive Quizzes

Quick quizzes to reinforce your learning

Question 1

What does EDA primarily focus on?

Data cleaning
Data visualization
Data modeling

💡 Hint: Consider the tools used in EDA.

Question 2

True or False: Box plots can help identify outliers in a dataset.

True
False

💡 Hint: Think about what box plots visually represent.

1 more question available

Challenge Problems

Push your limits with advanced challenges

Challenge 1 Hard

Given a dataset of students’ grades, describe how you would perform EDA to present potential areas needing improvement in student scores.

💡 Hint: Think about visualizations and comparisons with other variables.

Challenge 2 Hard

You find that your dataset has several missing values. What exploratory techniques can you use to visualize this issue?

💡 Hint: Visual tools are helpful to represent missing data.

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