I Need 7-8 Pages Of Word Report Excluding R Code In Appendix

I Need 7 8 Pages Of Word Report Exclude R Code In Appendix Cover Page

As the final assignment in this course, I want you all to be more creative, take some risks, and share a project. Therefore, please use at least one of the methods (i.e., Regression Analysis, Hypothesis Test, Regularization, Data, Classification/Data Mining, and Time Series Analysis) we have learned from the first five modules to analyze a real-world data of interest to you with a goal of solving a problem you pose. Please come up with some research questions based on the data you chose and apply the analytical methods you have learned in this course, covered in Modules 1-5.

Please prepare a written report and presentation based on your findings. The written report should include the following sections:

  • Cover page with all the student names in your group, course/section, institution, instructor's name, the assignment title, and the date.
  • Research questions
  • Data set(s) chosen
  • Method(s) chosen
  • Results & findings
  • Conclusions
  • References (if any)
  • Appendix: your R script or your analyses document in any other format (Excel, Tableau, Python, etc.)

The presentation should include similar information but be shorter, between 5-10 minutes. Do not focus on mathematical or statistical details; instead, highlight data storytelling and visualization. The presentation order includes:

  • Research question
  • Description of the data
  • Summary of results
  • Conclusions and limitations

Your project should follow APA format, but page limitations are not strict. Approach this as an opportunity to investigate something of personal interest. Include images, graphs, figures, charts, and tables as necessary. The written report should be thorough, approximately 7-8 pages, excluding R code in the appendix, cover page, and references. The report should be around 1000 words, with at least 10 credible references cited within the text. The report is due by Wednesday, June 26 at 11:59 pm. Work on this assignment early to maximize success. Group work should include no more than three students, and contributions of each member must be listed in both the presentation and the report. If you have questions, contact the instructor promptly, not at the last minute. The project encourages exploration and creativity, with potential analyses including regression, classification, clustering, or time series forecasting, based on datasets such as wine quality, house prices, Titanic survival, credit card clustering, or Bitcoin prices.

Related Assignments