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 fwf0 ntr0 dtr0 pct2 sof0 pct4 dow0 cnv0 gfo0 pct6 cnv1 cbf0 pct8 gfo1 pctA sam0 oop0 oop1 pctC oop2 gfo2 got+bns/totl tlly prjct+prtcp+jrnal=results ( grade ) ============================================================================================================================================================================ lowscore: 0 92 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 ............. 1% ......................... ( 2.441) avgscore: 50 96 41 50 50 0 50 50 50 50 50 50 0 50 0 50 50 50 0 50 50 ............. 51% ......................... ( 4.521) median: 50 96 41 50 50 0 50 50 50 50 50 50 0 50 0 50 50 50 0 50 50 ............. 48% ......................... ( 45.217) hiscore: 100 100 82 100 100 0 100 100 100 100 100 100 0 100 0 100 100 100 0 100 100 ............. 98% ......................... ( 87.994) mode: 100 92 82 100 100 0 100 100 100 100 100 100 0 100 0 100 100 100 0 100 100 range: 100 8 82 100 100 0 100 100 100 100 100 100 0 100 0 100 100 100 0 100 100 ============================================================================================================================================================================ # passed: 1 2 1 1 1 0 1 1 1 1 1 1 0 1 0 1 1 1 0 1 1 ............. 1 ......................... 1 ( 50%) # of As: 1 1 0 1 1 0 1 1 1 1 1 1 0 1 0 1 1 1 0 1 1 ............. 1 ......................... 0 ( 0%) # of Bs: 0 1 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 ............. 0 ......................... 1 ( 50%) # of Cs: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 ............. 0 ......................... 0 ( 0%) # of Ds: 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 ............. 0 ......................... 0 ( 0%) # of Fs: 1 0 1 1 1 2 1 1 1 1 1 1 2 1 2 1 1 1 2 1 1 ............. 1 ......................... 1 ( 50%) # submit: 1 2 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 # early: 1 2 1 1 1 1 1 1 1 1 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 2 1 1 1 1 1 1 2 1 2 1 1 1 2 1 1 % passed: 50% 100% 50% 50% 50% 0% 50% 50% 50% 50% 50% 50% 0% 50% 0% 50% 50% 50% 0% 50% 50% % of As: 50% 50% 0% 50% 50% 0% 50% 50% 50% 50% 50% 50% 0% 50% 0% 50% 50% 50% 0% 50% 50% % of Bs: 0% 50% 50% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% % of Cs: 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% % of Ds: 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% % of Fs: 50% 0% 50% 50% 50% 100% 50% 50% 50% 50% 50% 50% 100% 50% 100% 50% 50% 50% 100% 50% 50% % submit: 50% 100% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% 50% % early: 50% 100% 50% 50% 50% 50% 50% 50% 50% 50% 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% 100% 50% 50% 50% 50% 50% 50% 100% 50% 100% 50% 50% 50% 100% 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).