Practice Learning Objectives (6.2) - Exploratory Data Analysis

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6 sample questions

Question 1.
What is the purpose of Exploratory Data Analysis?
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Think about how understanding your data helps in making decisions.
Question 2.
List two tools commonly used in EDA.
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Consider tools that assist in data manipulation and visualization.
3Question 3.
What does EDA primarily aim to achieve?
- Model building
- Data summarization
- Both
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Consider what you do before creating models.
4Question 4.
True or False: Pandas is a visualization tool for data.
- True
- False
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Think about what Pandas allows you to do with data.
Question 5.
Given a dataset of customer purchases, outline the steps you would take to conduct EDA. Include at least five distinct steps.
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What steps involve both numerical summarization and visual representation?
Question 6.
You found two variables that seem correlated in your dataset. How would you confirm if this relationship is significant? Discuss potential methods.
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What statistical methods are typically used to analyze relationships between two variables?

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