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Discussion Post: Fundamentals of Data Science
Using the same dataset or a different one, select two qualitative variables and two quantitative variables. Explain why you selected these variables.
I. Analysis:
1. For your qualitative variables, create a contingency table and calculate the association between them. 2. For your quantitative variables, calculate the correlation between them. Include scatter plot to visually represent this relationship.
II. Interpretation: Explain your findings. What does the association or correlation say about the relationship between your variables? Is the relationship strong, weak, positive, negative, or nonexistent?
III. Reflection: Reflect on the importance of understanding associations and correlations in data analysis and how they can guide further data investigation.
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