Empowering Autism Diagnosis Analysis with Power BI Visualizations

This study explores the transformative potential of Power BI in analysing autism diagnosis data. Utilising a robust dataset, we demonstrate how Power BI's advanced visualisation capabilities can uncover critical insights and patterns that may be obscured in traditional data analysis methods. By creating interactive and dynamic dashboards, we provide a comprehensive overview of autism diagnosis trends, demographic distributions, and potential correlations with various factors. This approach not only enhances the accessibility and interpretability of complex data but also empowers healthcare professionals, researchers, and policymakers with actionable insights. The findings underscore the importance of leveraging modern data visualisation tools to facilitate a deeper understanding of autism spectrum disorder (ASD), ultimately contributing to more informed decision-making and improved outcomes for individuals affected by autism.