How many principal components are required to retain at least 95% of the total variance in the iris dataset?

How many principal components are required to retain at least 95% of the total variance in the iris dataset?: a task in SmolDataEnvs-harbor-train (Harbor dataset). Files (in /home/user/input, no subfolders): - Iris.csv