Exploring Factors Influencing PCOS: Analysis using Data Visualization Techniques

Polycystic Ovary Syndrome (PCOS) is a prevalent endocrine disorder worldwide, presenting challenges such as miscarriage and fertility issues. Utilizing Data Visualization (DV) tools like bar graphs, scatter plots, and unique charts, this analysis aids in comprehending PCOS demographics, variations, and correlations, contributing to enhanced understanding of the syndrome. Bubble charts depict connections between age, weight, and PCOS, while a Sankey diagram clarifies dataset interconnections, simplifying PCOS comprehension. Stressing the importance of follicle counts as a diagnostic marker, the analysis highlights a higher count's significance in PCOS diagnosis. It advocates for further research to refine our understanding, facilitating more accurate diagnoses. Given PCOS 's prevalence and associated challenges, understanding it is paramount. The chosen DV tools aim to simplify complex PCOS data for researchers and healthcare professionals. Emphasizing follicle counts' diagnostic potential underscores the importance of accurate and timely diagnoses, prompting further investigation to enhance PCOS comprehension and management.