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Test your understanding with targeted questions related to the topic.
Question 1
Easy
What is high-dimensional data?
π‘ Hint: Think of datasets with several features.
Question 2
Easy
Why is it important to spot anomalies in data?
π‘ Hint: Consider what outliers might suggest in your analysis.
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 is the primary purpose of advanced data visualization?
π‘ Hint: Think about how data visualization is used in practice.
Question 2
True or False: Anomalies in data are never useful for analysis.
π‘ Hint: Consider the impact of outliers in your analyses.
Solve 1 more question and get performance evaluation
Push your limits with challenges.
Question 1
Analyze a provided dataset and create an advanced visualization that highlights correlations and anomalies. Discuss your findings.
π‘ Hint: Consider which variables to compare for meaningful insights.
Question 2
Describe a project where you utilized advanced data visualization techniques. What challenges did you face and how did they impact your final results?
π‘ Hint: Reflect on both the technical and analytical challenges encountered.
Challenge and get performance evaluation