How can these biases influence the interpretation of data

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Reference no: EM133514979

For this discussion, answer the following questions:

Question 1: What are some common errors and biases that can occur during data visualization?

Question 2: How can these biases influence the interpretation of data, specifically in the context of our case study on infectious disease trends in the US?

Question 3: What are your thoughts on strategies to detect and mitigate these errors and biases?

Question 4: What are some examples from this course in which you had to confront and address these issues?

Reference no: EM133514979

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