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Primary Discussion Response is due by Thursday (11:59pm EST), Peer Responses are due by Sunday (11:59pm EST).

Primary Task Response: Within the Discussion Board area, write 800 words that respond to the following questions with your thoughts, ideas, and comments. This will be the basis for future discussions by your classmates. Be substantive and clear and use examples to reinforce your ideas.

Discussion Question

Chapter 6 extends the formulation of data sets with symmetric binary, categorical, and continuous attributes. There are many applications that contain binary and nominal attributes. Figure 6.1: Internet survey data with categorical attributesshows symmetric binary attribute such as gender, a computer at home, chat online, shop online, and privacy concerns, and nominal attributes such as level of education and state. Also, Table 6.2: shows Internet survey data after binarizing categorical and symmetric attributes.

  1. Search online and identify a data set with a survey information from any company or industry.
  2. Use the identified dataset to develop a data set like a figure 6.1 data set for the symmetric binary attribute with different variables.
  3. Using the dataset developed in #2, transform it into a binary category like Table 6.2 in chapter 6.
  4. Describe the data set Table developed in #2 and #3 and explain the issues to consider when applying association analysis to the binarized data.

Responses to Other Students:

Respond to at least 2 of your fellow classmates with at least a 100-word reply about their Primary Task Response regarding items you found to be compelling and enlightening. To help you with your discussion, please consider the following questions:

  • What did you learn from your classmate’s posting?
  • What additional questions you have after reading your classmates posting?
  • What clarification do you need regarding your classmates’ posting?
  • What similarities and differences you identify between your posting and other classmates’ postings?

For assistance with your assignment, please use the course textbook, UC Library, Web resources, and all course materials.

23 mins ago

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