Home work questions
- Questions:
- What is the value of Security Plans, Policies, Procedures, and Models? (What is the purpose or
- values of each and how do they relate to each other?) (in terms of data context)
- Share any experience involving “dirty data” from your personal or working environment. (If you cannot identify one, provide a hypothetical situation.) Give a reasonable explanation for it and how it could have been prevented. Discuss how data pre-processing would address this issue. Be sure to relate your discussion with the textbook readings in order to get full credit.
- What is discretization?
- Provide a one-paragraph discussion for each of equalinterval, equal frequency, k-means clustering discretization.
- Compare and contrast the discretization methods above providing at least one example of when you would use each one.
- Discussion of when and why variables should be removed from a dataset.
- Why is it important to handle missing values in your dataset prior to beginning your primary data analysis? Provide a one-paragraph, masters-level response in your own words.
- Describe at least one alternative approach for handling missing values other than replacing the values with the attribute mean. Provide a one-paragraph, masters-level response in your own words.
- Discus where you provide at least two reasons why data should be sorted.
- Discus in a one-paragraph, masters-level interpretation of what the plot function shows.
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