In the first exercise of Basics module, we will work on College dataset that contains the data from 777 different universities and colleges in the US.
You can download the dataset here College dataset It is under the heading 'Practice, problems, data, code'
explanation for what each variable means (i got it from the pdf file of the practice problem)
- Private : Public/private indicator
- Apps : Number of applications received
- Accept : Number of applicants accepted
- Enroll : Number of new students enrolled
- Top10perc : New students from top 10 % of high school class
- Top25perc : New students from top 25 % of high school class
- F.Undergrad : Number of full-time undergraduates
- P.Undergrad : Number of part-time undergraduates
- Outstate : Out-of-state tuition
- Room.Board : Room and board costs
- Books : Estimated book costs
- Personal : Estimated personal spending
- PhD : Percent of faculty with Ph.D.’s
- Terminal : Percent of faculty with terminal degree
- S.F.Ratio : Student/faculty ratio
- perc.alumni : Percent of alumni who donate
- Expend : Instructional expenditure per student
- Grad.Rate : Graduation rate
The second exercise uses a dataset called Auto. The data (Auto.csv) is also readily available in the website for download
The last exercise uses Boston dataset that is contained in the MASS library