Analysis and Visualization of Educational Institution Data

The rapid expansion of educational institutions and the growing availability of academic data necessitate effective data analysis and visualization techniques. Understanding institutional distribution, course popularity, student intake, and geographical trends is crucial for educational planning and decision-making. This research paper explores a large dataset comprising 15,000 to 20,000+ rows, employing MySQL for data storage, Power BI for visualization, and Python for analytical processing. Various graphical representations, including bar charts, pie charts, and geographic maps, are used to extract meaningful insights. The findings from this study provide valuable information to educational policymakers, administrators, and stakeholders, facilitating data-driven decision-making and strategic planning.