Data and visualizations generated from class activity.
This information is provided to give you a better perspective on how the class as a whole is trending.
============================================================================================================================================================================ CPROG ntr0 fwf0 pct2 sof0 dow0 pct4 cbf0 gfo0 pct6 cnv0 cnv1 pct8 cos0 gfo1 pctA sam0 oop0 oop1 pctC oop2 gfo2 got+bns/totl tlly prjct+prtcp+jrnal=results ( grade ) ============================================================================================================================================================================ lowscore: 100 100 100 66 84 0 60 0 0 100 0 0 0 0 0 0 100 67 0 0 0 ............. 22% ......................... ( 50.187) avgscore: 100 100 100 83 92 50 80 50 50 100 50 50 50 50 50 50 100 83 50 50 33 ............. 80% ......................... ( 7.619) median: 100 100 100 83 92 50 80 50 50 100 50 50 50 50 50 50 100 83 50 50 33 ............. 30% ......................... ( 76.198) hiscore: 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 66 ............. 117% ......................... (102.210) mode: 100 100 100 66 84 100 60 100 100 100 100 100 100 100 100 100 100 67 100 100 66 range: 0 0 0 34 16 100 40 100 100 0 100 100 100 100 100 100 0 33 100 100 66 ============================================================================================================================================================================ # passed: 2 2 2 2 2 1 2 1 1 2 1 1 1 1 1 1 2 2 1 1 1 ............. 1 ......................... 1 ( 50%) # of As: 2 2 2 1 1 1 1 1 1 2 1 1 1 1 1 1 2 1 1 1 0 ............. 1 ......................... 1 ( 50%) # of Bs: 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 ............. 0 ......................... 0 ( 0%) # of Cs: 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 1 ............. 0 ......................... 0 ( 0%) # of Ds: 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 ............. 0 ......................... 0 ( 0%) # of Fs: 0 0 0 0 0 1 0 1 1 0 1 1 1 1 1 1 0 0 1 1 1 ............. 1 ......................... 1 ( 50%) # submit: 2 2 2 1 2 1 1 1 1 2 1 1 1 1 1 1 2 1 1 1 1 # early: 2 1 1 1 1 1 1 1 1 2 1 1 1 1 1 1 1 1 1 1 1 # onday: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 # late: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 # missing: 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 % passed: 100% 100% 100% 100% 100% 50% 100% 50% 50% 100% 50% 50% 50% 50% 50% 50% 100% 100% 50% 50% 50% % of As: 100% 100% 100% 50% 50% 50% 50% 50% 50% 100% 50% 50% 50% 50% 50% 50% 100% 50% 50% 50% 0% % of Bs: 0% 0% 0% 0% 50% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% % of Cs: 0% 0% 0% 50% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 50% 0% 0% 50% % of Ds: 0% 0% 0% 0% 0% 0% 50% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% % of Fs: 0% 0% 0% 0% 0% 50% 0% 50% 50% 0% 50% 50% 50% 50% 50% 50% 0% 0% 50% 50% 50% % submit: 100% 100% 100% 50% 100% 50% 50% 50% 50% 100% 50% 50% 50% 50% 50% 50% 100% 50% 50% 50% 50% % early: 100% 50% 50% 50% 50% 50% 50% 50% 50% 100% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% % onday: 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% % late: 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% % missing: 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% ============================================================================================================================================================================
Of the various all-class metrics we can analyze:
We can visualize the results to gain a big picture view. The more the data stays within a certain range, the less interesting the graphs will appear. In such cases, boring graphs indicate the class as a whole is staying relatively the same with respect to that metric (dips would tend to indicate problems, rises would tend to indicate improvements).