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

Test your understanding with targeted questions related to the topic.

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.

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 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.

Solve 1 more question and get performance evaluation

Challenge Problems

Push your limits with challenges.

Question 1

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.

Question 2

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.

Challenge and get performance evaluation