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.
============================================================================================================================================================================ DATA abc0 btt0 pct2 mpg0 pct4 ttb0 ttb1 dap0 gfo0 pct6 cgf0 cgf1 pct8 cgf2 cgf3 gfo1 pctA waq0 pctC waq1 gfo2 got+bns/totl tlly prjct+prtcp+jrnal=results ( grade ) ============================================================================================================================================================================ lowscore: 53 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 ............. 0.0% ......................... ( 3.219) avgscore: 95 76 77 76 77 63 50 54 84 86 50 60 58 40 46 78 67 55 54 51 58 ............. 69% ......................... ( 36.621) median: 100 100 100 100 100 78 45 66 100 100 50 75 92 0 52 100 96 62 74 58 91 ............. 86% ......................... ( 65.859) hiscore: 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 ............. 125% ......................... (124.358) mode: 100 100 100 100 100 100 100 66 100 100 100 100 100 0 0 100 100 100 100 100 100 range: 47 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 100 ============================================================================================================================================================================ # passed: 9 8 8 8 8 6 5 6 9 9 4 5 6 4 5 8 7 5 5 5 6 ............. 6 ......................... 7 ( 70%) # of As: 9 6 6 7 6 4 4 3 7 7 4 5 5 4 3 7 5 3 5 4 5 ............. 4 ......................... 4 ( 40%) # of Bs: 0 1 2 0 2 2 1 0 1 2 0 0 1 0 0 1 2 0 0 0 1 ............. 0 ......................... 0 ( 0%) # of Cs: 0 1 0 0 0 0 0 3 1 0 0 0 0 0 0 0 0 2 0 1 0 ............. 1 ......................... 2 ( 20%) # of Ds: 0 0 0 1 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 ............. 1 ......................... 1 ( 10%) # of Fs: 1 2 2 2 2 4 5 4 1 1 6 5 4 6 5 2 3 5 5 5 4 ............. 4 ......................... 3 ( 30%) # submit: 10 8 8 7 8 7 7 4 9 9 5 6 6 4 6 8 7 6 5 5 6 # early: 8 7 7 4 5 3 3 1 5 6 1 2 6 2 3 5 5 2 4 3 4 # onday: 2 1 1 3 3 4 4 3 4 3 4 4 1 2 3 3 2 4 1 2 2 # late: 1 1 1 1 1 1 1 3 1 1 1 1 1 1 1 1 1 1 1 1 1 # missing: 1 1 2 3 2 3 3 3 1 1 4 4 4 6 4 2 3 4 4 4 4 % passed: 90% 80% 80% 80% 80% 60% 50% 60% 90% 90% 40% 50% 60% 40% 50% 80% 70% 50% 50% 50% 60% % of As: 90% 60% 60% 70% 60% 40% 40% 30% 70% 70% 40% 50% 50% 40% 30% 70% 50% 30% 50% 40% 50% % of Bs: 0% 10% 20% 0% 20% 20% 10% 0% 10% 20% 0% 0% 10% 0% 0% 10% 20% 0% 0% 0% 10% % of Cs: 0% 10% 0% 0% 0% 0% 0% 30% 10% 0% 0% 0% 0% 0% 0% 0% 0% 20% 0% 10% 0% % of Ds: 0% 0% 0% 10% 0% 0% 0% 0% 0% 0% 0% 0% 0% 0% 20% 0% 0% 0% 0% 0% 0% % of Fs: 10% 20% 20% 20% 20% 40% 50% 40% 10% 10% 60% 50% 40% 60% 50% 20% 30% 50% 50% 50% 40% % submit: 100% 80% 80% 70% 80% 70% 70% 40% 90% 90% 50% 60% 60% 40% 60% 80% 70% 60% 50% 50% 60% % early: 80% 70% 70% 40% 50% 30% 30% 10% 50% 60% 10% 20% 60% 20% 30% 50% 50% 20% 40% 30% 40% % onday: 20% 10% 10% 30% 30% 40% 40% 30% 40% 30% 40% 40% 10% 20% 30% 30% 20% 40% 10% 20% 20% % late: 10% 10% 10% 10% 10% 10% 10% 30% 10% 10% 10% 10% 10% 10% 10% 10% 10% 10% 10% 10% 10% % missing: 10% 10% 20% 30% 20% 30% 30% 30% 10% 10% 40% 40% 40% 60% 40% 20% 30% 40% 40% 40% 40% ============================================================================================================================================================================
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).