Individual Research Paper

You need to have the latest version of R Studio and be proficient with R code.

Following are the instructions for submission of the semester wide project in the form of a report:

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Single spaced, font size 12 and Times New Roman. Report must be a minimum of five pages with no maximum page limits.

1. Page 1 must include your name(s), name of course, semester and name of university. (I’ll take care of this)

2. Introduction and background of problem, source(s) of data set(s), how you collected the data, description of data set(s) and description of variables used to answer the problem statement. You may create a table with variable names and their description or include the variable names and description as bullet points. You are also expected to use some theoretical background or information systems research theory for the research questions (although not required but recommended). (minimum 1 page, no maximum limit).

3. Description of technique applied to the data set(s) to answer the questions / problems. You may use any of the technique(s) we covered in the class or may also use a data analytic technique(s) from outside the syllabus as long as you have proper understanding of the technique and can justify its usage to solving the problem (minimum 1 page, no maximum limit).

Techniques that can be used:

linear regression, logistic regression, k-means clustering, association rule mining, Naïve Bayes classification and classification tree.

 

4. Results and interpretation of results. You must include some graphs, figures, R outputs here. You are not required to include detailed R code in this section. You are expected to explain your results (whether they support the research question(s) or not), based on the chosen theory/theories. (minimum 1/2 page, no maximum limit).

5. Any limitations, challenges and summary of your work (minimum 1/2 page, no maximum limit).

6. Appendix (optional). You may include the detailed R code here, although not required (no page limit).

7. References including the web links, textbooks, articles, etc. you have used to carry out this project (no page limit).

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