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Several Big Data Visualization tools have been evaluated in this weeks paper. While the focus was primarily on R and Python with GUI tools, new tools are being introduced every day. Compare and contrast the use of R vs Python and identify the pros and cons of each. Provide an example of both programming languages with coding examples as well as your experience in using one or both programming languages in professional or personal work. If you have no experience with either language, please discuss how you foresee using either/both of these languages in visualizing data when analyzing big data.
A substantive post will do at least two of the following:
Ask an interesting, thoughtful question pertaining to the topic
Answer a question (in detail) posted by another student or the instructor
Provide extensive additional information on the topic
Explain, define, or analyze the topic in detail
Share an applicable personal experience.
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What is the expected value of the sampling distribution model for the proportion of 480 freshmen that will return to the same school for their sophomore year?
IQ test scores of students are normally distributed with mean µ=100 and standard deviation s=10.
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