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Practice Questions
Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is the purpose of Exploratory Data Analysis?
💡 Hint: Think about how understanding your data helps in making decisions.
Question 2
Easy
List two tools commonly used in EDA.
💡 Hint: Consider tools that assist in data manipulation and visualization.
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 aim to achieve?
- Model building
- Data summarization
- Both
💡 Hint: Consider what you do before creating models.
Question 2
True or False: Pandas is a visualization tool for data.
- True
- False
💡 Hint: Think about what Pandas allows you to do with data.
Solve and get performance evaluation
Challenge Problems
Push your limits with challenges.
Question 1
Given a dataset of customer purchases, outline the steps you would take to conduct EDA. Include at least five distinct steps.
💡 Hint: What steps involve both numerical summarization and visual representation?
Question 2
You found two variables that seem correlated in your dataset. How would you confirm if this relationship is significant? Discuss potential methods.
💡 Hint: What statistical methods are typically used to analyze relationships between two variables?
Challenge and get performance evaluation