After replacing zeros with NaN, which feature had the highest number of missing values before imputation?

After replacing zeros with NaN, which feature had the highest number of missing values before imputation?: a task in data-agent-harbor-train (Harbor dataset). Files (in /home/user/input, no subfolders): - diabetes.csv