I have chosen a Student Performance Dataset to see what kind of factors can influence a
student's grade. Some of the factors are attendance, study habits, and extracurricular activities.
The goal is to see how the data affects their final grade. We can then build a predictive model
that can see what a student's performance will be.
1. There are ten records contained in the file.
2. There are nine fields per record.
3. There is one redundancy, and that is in the gender field. A student's gender doesn’t
affect the final grade as much as the other factors.
4. The redundancy could lead to skewed data because there could be a correlation
between the fields when there is no causation.
Design Statement
I started the assignment by going to Kaggle and looking for a data set that wasn’t too
complicated but wasn’t so simple that there were no redundancies. I found the Student
Performance Dataset and chose it because it can do everything I need it to do and be. I used
ChatGPT mainly to experiment with whether it could find the field and records for the data. After
verifying that the information the AI gave me was correct, I answered the questions.