Outlier Detection and Analysis using BMI and HRV Data

The project involved collecting data, cleaning it, and applying the Interquartile Range (IQR) method to identify outliers. I created visualizations using Python to highlight these outliers, making it easier to spot trends and unusual patterns. This approach helps in enhancing the reliability of health data analysis, ensuring better decision-making in healthcare and fitness applications.