Assignment:
A key feature of this course is applying learning to a real-world dataset. The project takes you through all the steps of a typical data analysis project over the course of the semester. There are two deliverables for this assignment. This description refers to the second and final deliverable.
Modeling is an iterative exercise, and it is possible that you will learn some things during this assignment that will suggest further data processing. If you do take these steps, you should indicate the additional work you have undertaken in your write-up
The Final deliverable should be consist of three parts:
The document deliverable
R code
Data/sample data.
The document deliverable should consist of 3 to 5 pages of text, plus an Appendix that includes any R output to support your conclusions. The write-up should be in PDF/Word/slides format. The write-up should address the following questions, in this prescribed order:
What is the recommended action and how do you expect the action to affect business or organizational goals?
What are the conclusions of your data analysis that support your recommendation?
What is the basic concept of the methodology you selected for the analysis, and what are its strengths and weaknesses?
Attachment:- Tag list for input.rar