This project explores The Programme for International Student Assessment (PISA) 2012 Dataset. PISA is a survey of students' skills and knowledge as they approach the end of compulsory education. It is not a conventional school test. Rather than examining how well students have learned the school curriculum, it looks at how well prepared they are for life beyond school.
- Subject scores have normal distribution
- Wealth distribution has a slight skew to the left with several outliers at the high side
- Mexico, Italy, and Spain provided the largest amount of students
- Families with no computer are rare
- It's popular to have more than 2 computers per family
- The number of students who use programming is far less than those who doesn't use it
- Successful students in common are successful in all subjects simultaneously
- Wealth index has a very low impact on academic performance
- Male students have slightly higher math and science scores on average
- Female students have slightly higher reading scores on average
- The Number of computers has a high correlation with academic performance and wealth index
- Male students like programming more than female students
- Singapore is a leader by number of outperforming students in every subject
- There is a small positive correlation between wealth index and programming rate
- Australia and Canada have higher number of wealthy students than the USA
