This dataset contains fictitious information about students' grades in the following subjects: math, reading, and writing. The data contains 1000 records and 8 characteristics (columns):
gender- character variablerace/ethnicity- character variableparental level of education- character variablelunch- character variabletest preparation course- character variablemath score- numerical variablereading score- numerical variablewriting score- numerical variable
Data reference: https://www.kaggle.com/datasets/whenamancodes/students-performance-in-exams
In this file I will explore the features of dataset, parse the parameters, it makes sense to see how the parameters are related. In addition, it is worth answering some questions, such as:
- How effective is the preparation for the exam
- What parameters have the impact on the results of the exams
- What parameters have the impact on the results of the lunch type of the students
- Whether there is a correlation between the results of the various examinations