Untransformed data, such as the number of correct answers on an assessment, paired with the assigned letter or numerical ranking representing achievement, provides a foundational view of performance. For example, a student might have 85 correct answers out of 100, corresponding to a numerical grade of 85% or a letter grade of ‘B’. This initial pairing provides a clear, objective starting point for further analysis.
Access to both unevaluated data and categorized rankings offers valuable insights for educators, students, and administrators. This combination permits a granular understanding of strengths and weaknesses, facilitating targeted interventions and personalized learning strategies. Historically, the focus has often been solely on the final evaluation, obscuring the rich information contained within the initial data. However, increased emphasis on data-driven decision-making has highlighted the importance of accessing and analyzing both components for a comprehensive picture of performance.