Cleaning the Gender Column

In the gender column, I found a small number of entries labeled as 'Unknown/Invalid'. I replaced those with NaN to ensure consistency and accuracy in analysis. The cleaned data shows a nearly even gender distribution, with a slight majority of female patients. This cleanup ensures that unclassified gender entries won't skew downstream analysis.

Source https://archive.ics.uci.edu/dataset/296/diabetes+130-us+hospitals+for+years+1999-2008