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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is Exploratory Data Analysis (EDA)?
π‘ Hint: Think of its purpose in understanding data.
Question 2
Easy
Which visualization is a good method for identifying outliers?
π‘ Hint: Consider the tool used to summarize data distributions.
Practice 4 more questions and get performance evaluation
Engage in quick quizzes to reinforce what you've learned and check your comprehension.
Question 1
What does EDA primarily focus on?
π‘ Hint: Consider the tools used in EDA.
Question 2
True or False: Box plots can help identify outliers in a dataset.
π‘ Hint: Think about what box plots visually represent.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Given a dataset of studentsβ grades, describe how you would perform EDA to present potential areas needing improvement in student scores.
π‘ 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?
π‘ Hint: Visual tools are helpful to represent missing data.
Challenge and get performance evaluation