Overview
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.
Sample Data
ACT composite score | SAT total score | parental level of education | parental income | high school gpa | college gpa | years to graduate |
---|---|---|---|---|---|---|
35 | 2370 | associate's degree | 97021 | 4.0 | 4.0 | 3 |
28 | 1902 | some high school | 49833 | 3.7 | 3.1 | 5 |
27 | 1925 | some college | 70980 | 3.5 | 3.1 | 5 |
30 | 2059 | associate's degree | 88629 | 3.8 | 3.6 | 4 |
29 | 2029 | some college | 70596 | 3.8 | 3.3 | 8 |
31 | 2166 | some high school | 37596 | 4.0 | 3.2 | 6 |
32 | 2223 | some college | 55806 | 4.0 | 3.2 | 9 |
25 | 1795 | some college | 68896 | 3.4 | 3.4 | 8 |
30 | 2004 | some high school | 64216 | 3.8 | 3.4 | 7 |
26 | 1857 | some high school | 34163 | 3.3 | 3.0 | 5 |
... |
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.
Download
Download 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.
Disclaimer
All data sets are fictional and should be used for educational purposes only.