This visualization examines how study hours and previous exam scores affect pass/fail outcomes in a student performance dataset from Kaggle. The view displays the first record of the CSV as formatted JSON, showing the three variables: Study_Hours, Previous_Exam_Score, and Pass_Fail. The code uses a custom `main` function that writes the parsed data into an HTML `<pre>` element, with the dataset loaded and converted to numeric values using the `+` operator. The analysis questions focus on the independent and combined effects of these two predictors on the result.