Dear Stata users,

I performed the K-means clustering analysis on stock market cash-flow and discount-rate betas. To visualize my results I created the scatterplot which 7 different groups. How can I transform my graph so I can exactly know which stocks are in each cluster? (Instead of getting differently coloured points). Here the code I used:


graph twoway (scatter beta_cf beta_dr if k7r == 1, mcolor(orange)) (scatter beta_cf beta_dr if k7r== 2, mcolor(green) ) (scatter beta_cf beta_dr if k7r == 3,mcolor(blue)) (scatter beta_cf beta_dr if k7r == 4, mcolor(red)) (scatter beta_cf beta_dr if k7r == 5, mcolor(purple)) (scatter beta_cf beta_dr if k7r == 6, mcolor(darkgreen)) (scatter beta_cf beta_dr if k7r == 7, mcolor(cranberry)), legend(label(1 "cluster1") label(2 "cluster2") label(3 "cluster3") label(4 "cluster4") label(5 "cluster5") label(6 "cluster6") label(7 "cluster7"))

Any help would be much appreciated!