This Power BI dashboard was created as part of the Microsoft Student Dataviz Contest to analyze college level data across tuition fees, academic performance (Magic Score), campus characteristics, and regional distribution.
The report focuses on identifying value for money colleges, examining whether higher tuition fees consistently lead to better academic outcomes, and understanding regional cost performance patterns using interactive visuals, slicers, and benchmark reference lines.
The dashboard includes an executive overview and a detailed performance analysis, designed with clean visual storytelling and decision oriented insights suitable for students, educators, and data enthusiasts.
Page 1 (Executive Overview) presents key metrics and distributions including overall college count, average tuition fee, average Magic Score, campus type distribution, and high level comparisons. This page is designed to give a quick, decision ready snapshot of the dataset.
Page 2 (Performance Analysis) explores deeper relationships between cost and academic outcomes using scatter analysis with benchmark reference lines, admission difficulty comparisons, and regional kingdom level cost versus performance insights. These visuals help identify value for money colleges and highlight cases where higher tuition does not necessarily translate into better academic performance.
Overall, the dashboard emphasizes clear visual storytelling, analytical validation, and actionable insights, making it useful for students, educators, and data enthusiasts evaluating institutional performance beyond surface level metrics.
