I used the data from CollegeScore4yr - College Scorecard four year which mainly focused on 4 year colleges in the United States of America.
I propse the following 10 questions:
I will explore the questions further more in details below:
## Name State ID Main
## 1 Alabama A & M University AL 100654 1
## 2 University of Alabama at Birmingham AL 100663 1
## 3 Amridge University AL 100690 1
## 4 University of Alabama in Huntsville AL 100706 1
## 5 Alabama State University AL 100724 1
## 6 The University of Alabama AL 100751 1
## Accred
## 1 Southern Association of Colleges and Schools Commission on Colleges
## 2 Southern Association of Colleges and Schools Commission on Colleges
## 3 Southern Association of Colleges and Schools Commission on Colleges
## 4 Southern Association of Colleges and Schools Commission on Colleges
## 5 Southern Association of Colleges and Schools Commission on Colleges
## 6 Southern Association of Colleges and Schools Commission on Colleges
## MainDegree HighDegree Control Region Locale Latitude Longitude AdmitRate
## 1 3 4 Public Southeast City 34.78337 -86.56850 0.9027
## 2 3 4 Public Southeast City 33.50570 -86.79935 0.9181
## 3 3 4 Private Southeast City 32.36261 -86.17401 NA
## 4 3 4 Public Southeast City 34.72456 -86.64045 0.8123
## 5 3 4 Public Southeast City 32.36432 -86.29568 0.9787
## 6 3 4 Public Southeast City 33.21187 -87.54598 0.5330
## MidACT AvgSAT Online Enrollment White Black Hispanic Asian Other PartTime
## 1 18 929 0 4824 2.5 90.7 0.9 0.2 5.6 6.6
## 2 25 1195 0 12866 57.8 25.9 3.3 5.9 7.1 25.2
## 3 NA NA 1 322 7.1 14.3 0.6 0.3 77.6 54.4
## 4 28 1322 0 6917 74.2 10.7 4.6 4.0 6.5 15.0
## 5 18 935 0 4189 1.5 93.8 1.0 0.3 3.5 7.7
## 6 28 1278 0 32387 78.5 10.1 4.7 1.2 5.6 7.9
## NetPrice Cost TuitionIn TuitonOut TuitionFTE InstructFTE FacSalary
## 1 15184 22886 9857 18236 9227 7298 6983
## 2 17535 24129 8328 19032 11612 17235 10640
## 3 9649 15080 6900 6900 14738 5265 3866
## 4 19986 22108 10280 21480 8727 9748 9391
## 5 12874 19413 11068 19396 9003 7983 7399
## 6 21973 28836 10780 28100 13574 10894 10016
## FullTimeFac Pell CompRate Debt Female FirstGen MedIncome
## 1 71.3 71.0 23.96 1068 56.4 36.6 23.6
## 2 89.9 35.3 52.92 3755 63.9 34.1 34.5
## 3 100.0 74.2 18.18 109 64.9 51.3 15.0
## 4 64.6 27.7 48.62 1347 47.6 31.0 44.8
## 5 54.2 73.8 27.69 1294 61.3 34.3 22.1
## 6 74.0 18.0 67.87 6430 61.5 22.6 66.7
## [1] 4484.831
This shows that from the data used, the average undergraduate enrollment across schools in the data set is 4484.831 persons per school.
## [1] 0.69505
This shows that from the data used, the median admission rate among the schools in the data set is 0.69505
## [1] 123100321
The variance in instructional spending per Full Time Enrolled student is 123100321.
## [1] 2563.004
The standard deviation of faculty salaries across the schools in the data set is 2563.004.
## [1] -0.4221255
With a correlation of -0.4221, this means there is a moderate negative relationship between admission rate and average SAT scores: as admission rates increase, average SAT scores tend to decrease.
This boxploy shows the distribution of the prices of schools from the
data set. It also shows there are outliners from the drops above.
This shows the breakdown of schools by region from the data set
provided.
This shows the percentage of schools offer only online programs.
## [1] 16.46559
This shows that 16.46559 is the average percentage of part-time students across all schools in the data set.
This project explored various aspects of college data from the College Scorecard dataset, focusing on key metrics such as enrollment, admission rates, faculty salaries, tuition fees, and student demographics. I computed summary statistics such as mean, median, variance, and standard deviation, and also analyzed correlations between variables like admission rate and SAT scores. Visualizations, including histograms, boxplots, barplots, and pie charts, were used to better understand the distribution of key factors like tuition fees, school regions, and the percentage of schools offering online programs. The findings provide valuable insights into trends and variations across schools in the dataset.