This is a fictional dataset and should only be used for data science training purposes.
This data set includes graduation rates from a four-year college with a variety of student factors.
|ACT composite score||SAT total score||parental level of education||parental income||high school gpa||college gpa||years to graduate|
|28||1904||some high school||67880||3.5||3.3||4|
|28||1975||some high school||36029||3.7||3.3||6|
|25||2021||some high school||22530||3.6||3.3||4|
|31||2054||some high school||24817||3.9||2.9||8|
Example Research Questions
- How effective are entrance requirements at predicting gpa and graduation rate?
- What would be the best way to improve graduation rates?
What patterns and interactions in the data can you find? Let me know in the comments section below.
DownloadDownload a Small Sample - Download a .csv file with 10 results as a sample set (n=10) Download a Medium Sample - Download a .csv file with 100 results as a sample set (n=100) Download a Large Sample - Download a .csv file with 1000 results as a sample set (n=1000)
All data sets are generated on-the-fly. So, you can increase your n by downloading a data set multiple times and combining the files.
All data sets are fictional and should be used for educational purposes only.